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https://github.com/pandas-dev/pandas/pull/44123

PR_kwDOAA0YD84tduuM

BUG: DataFrame index name no longer resets after appending a list of series

closed

CONTRIBUTOR

- [x] closes #44109 - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [x] whatsnew entry

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PR_kwDOAA0YD84tdwWR

CI: Use Windows and MacOS Numpy Wheels

closed

MEMBER

- [ ] closes #xxxx - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry

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https://github.com/pandas-dev/pandas/pull/44125

PR_kwDOAA0YD84tdynb

REF: use concat_compat in union_with_duplicates

closed

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- [ ] closes #xxxx - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry

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I_kwDOAA0YD849gk2T

CI: 3.10-dev tests failing

closed

CONTRIBUTOR

eg.. https://github.com/pandas-dev/pandas/pull/44125/checks?check_run_id=3958010839 traceback is large maybe something started on numpy side cc @seberg cc @pandas-dev/pandas-core ``` pandas/tests/frame/test_reductions.py:570: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = foo bar baz 0 100 -0.699818 -0.060793 1 -0.008426 -0.982277 -0.177994 2 1.633849 0.952529 -0.082802 3 -0.22671 0.524945 2.436406 4 -0.484995 0.845172 -2.276719 axis = 1, skipna = True, level = None, ddof = 1, numeric_only = False kwargs = {} @doc( _num_ddof_doc, desc="Return sample standard deviation over requested axis." "\n\nNormalized by N-1 by default. This can be changed using the " "ddof argument", name1=name1, name2=name2, axis_descr=axis_descr, notes=_std_notes, ) def std( self, axis=None, skipna=True, level=None, ddof=1, numeric_only=None, **kwargs, ): > return NDFrame.std(self, axis, skipna, level, ddof, numeric_only, **kwargs) pandas/core/generic.py:10703: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = foo bar baz 0 100 -0.699818 -0.060793 1 -0.008426 -0.982277 -0.177994 2 1.633849 0.952529 -0.082802 3 -0.22671 0.524945 2.436406 4 -0.484995 0.845172 -2.276719 axis = 1, skipna = True, level = None, ddof = 1, numeric_only = False kwargs = {} def std( self, axis=None, skipna=True, level=None, ddof=1, numeric_only=None, **kwargs ): > return self._stat_function_ddof( "std", nanops.nanstd, axis, skipna, level, ddof, numeric_only, **kwargs ) pandas/core/generic.py:10396: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = foo bar baz 0 100 -0.699818 -0.060793 1 -0.008426 -0.982277 -0.177994 2 1.633849 0.952529 -0.082802 3 -0.22671 0.524945 2.436406 4 -0.484995 0.845172 -2.276719 name = 'std', func = <function nanstd at 0x10e9e5750>, axis = 1, skipna = True level = None, ddof = 1, numeric_only = False, kwargs = {} @final def _stat_function_ddof( self, name: str, func, axis=None, skipna=True, level=None, ddof=1, numeric_only=None, **kwargs, ): nv.validate_stat_ddof_func((), kwargs, fname=name) if axis is None: axis = self._stat_axis_number if level is not None: warnings.warn( "Using the level keyword in DataFrame and Series aggregations is " "deprecated and will be removed in a future version. Use groupby " "instead. df.var(level=1) should use df.groupby(level=1).var().", FutureWarning, stacklevel=4, ) return self._agg_by_level( name, axis=axis, level=level, skipna=skipna, ddof=ddof ) > return self._reduce( func, name, axis=axis, numeric_only=numeric_only, skipna=skipna, ddof=ddof ) pandas/core/generic.py:10375: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = foo bar baz 0 100 -0.699818 -0.060793 1 -0.008426 -0.982277 -0.177994 2 1.633849 0.952529 -0.082802 3 -0.22671 0.524945 2.436406 4 -0.484995 0.845172 -2.276719 op = <function nanstd at 0x10e9e5750>, name = 'std', axis = 0, skipna = True numeric_only = False, filter_type = None, kwds = {'ddof': 1}, out_dtype = None def _reduce( self, op, name: str, *, axis: Axis = 0, skipna: bool = True, numeric_only: bool | None = None, filter_type=None, **kwds, ): assert filter_type is None or filter_type == "bool", filter_type out_dtype = "bool" if filter_type == "bool" else None if numeric_only is None and name in ["mean", "median"]: own_dtypes = [arr.dtype for arr in self._mgr.arrays] dtype_is_dt = np.array( [is_datetime64_any_dtype(dtype) for dtype in own_dtypes], dtype=bool, ) if dtype_is_dt.any(): warnings.warn( "DataFrame.mean and DataFrame.median with numeric_only=None " "will include datetime64 and datetime64tz columns in a " "future version.", FutureWarning, stacklevel=5, ) # Non-copy equivalent to # dt64_cols = self.dtypes.apply(is_datetime64_any_dtype) # cols = self.columns[~dt64_cols] # self = self[cols] predicate = lambda x: not is_datetime64_any_dtype(x.dtype) mgr = self._mgr._get_data_subset(predicate) self = type(self)(mgr) # TODO: Make other agg func handle axis=None properly GH#21597 axis = self._get_axis_number(axis) labels = self._get_agg_axis(axis) assert axis in [0, 1] def func(values: np.ndarray): # We only use this in the case that operates on self.values return op(values, axis=axis, skipna=skipna, **kwds) def blk_func(values, axis=1): if isinstance(values, ExtensionArray): if not is_1d_only_ea_obj(values) and not isinstance( self._mgr, ArrayManager ): return values._reduce(name, axis=1, skipna=skipna, **kwds) return values._reduce(name, skipna=skipna, **kwds) else: return op(values, axis=axis, skipna=skipna, **kwds) def _get_data() -> DataFrame: if filter_type is None: data = self._get_numeric_data() else: # GH#25101, GH#24434 assert filter_type == "bool" data = self._get_bool_data() return data if numeric_only is not None or axis == 0: # For numeric_only non-None and axis non-None, we know # which blocks to use and no try/except is needed. # For numeric_only=None only the case with axis==0 and no object # dtypes are unambiguous can be handled with BlockManager.reduce # Case with EAs see GH#35881 df = self if numeric_only is True: df = _get_data() if axis == 1: df = df.T axis = 0 ignore_failures = numeric_only is None # After possibly _get_data and transposing, we are now in the # simple case where we can use BlockManager.reduce > res, _ = df._mgr.reduce(blk_func, ignore_failures=ignore_failures) pandas/core/frame.py:9998: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = BlockManager Items: RangeIndex(start=0, stop=5, step=1) Axis 1: Index(['foo', 'bar', 'baz'], dtype='object') ObjectBlock: slice(0, 5, 1), 5 x 3, dtype: object func = <function DataFrame._reduce.<locals>.blk_func at 0x1474ce8c0> ignore_failures = False def reduce( self: T, func: Callable, ignore_failures: bool = False ) -> tuple[T, np.ndarray]: """ Apply reduction function blockwise, returning a single-row BlockManager. Parameters ---------- func : reduction function ignore_failures : bool, default False Whether to drop blocks where func raises TypeError. Returns ------- BlockManager np.ndarray Indexer of mgr_locs that are retained. """ # If 2D, we assume that we're operating column-wise assert self.ndim == 2 res_blocks: list[Block] = [] for blk in self.blocks: > nbs = blk.reduce(func, ignore_failures) pandas/core/internals/managers.py:1309: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ObjectBlock: slice(0, 5, 1), 5 x 3, dtype: object args = (<function DataFrame._reduce.<locals>.blk_func at 0x1474ce8c0>, False) kwargs = {} @wraps(meth) def newfunc(self, *args, **kwargs) -> list[Block]: if self.ndim == 1 or self.shape[0] == 1: return meth(self, *args, **kwargs) else: # Split and operate column-by-column > return self.split_and_operate(meth, *args, **kwargs) pandas/core/internals/blocks.py:137: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ObjectBlock: slice(0, 5, 1), 5 x 3, dtype: object func = <function ObjectBlock.reduce at 0x10f2e5510> args = (<function DataFrame._reduce.<locals>.blk_func at 0x1474ce8c0>, False) kwargs = {}, res_blocks = [] nb = ObjectBlock: slice(0, 1, 1), 1 x 3, dtype: object @final def split_and_operate(self, func, *args, **kwargs) -> list[Block]: """ Split the block and apply func column-by-column. Parameters ---------- func : Block method *args **kwargs Returns ------- List[Block] """ assert self.ndim == 2 and self.shape[0] != 1 res_blocks = [] for nb in self._split(): > rbs = func(nb, *args, **kwargs) pandas/core/internals/blocks.py:495: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ObjectBlock: slice(0, 1, 1), 1 x 3, dtype: object func = <function DataFrame._reduce.<locals>.blk_func at 0x1474ce8c0> ignore_failures = False @maybe_split def reduce(self, func, ignore_failures: bool = False) -> list[Block]: """ For object-dtype, we operate column-wise. """ assert self.ndim == 2 try: > res = func(self.values) pandas/core/internals/blocks.py:1827: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ values = array([['100', -0.6998177032455032, -0.06079253108280515]], dtype=object) axis = 1 def blk_func(values, axis=1): if isinstance(values, ExtensionArray): if not is_1d_only_ea_obj(values) and not isinstance( self._mgr, ArrayManager ): return values._reduce(name, axis=1, skipna=skipna, **kwds) return values._reduce(name, skipna=skipna, **kwds) else: > return op(values, axis=axis, skipna=skipna, **kwds) pandas/core/frame.py:9970: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ values = array([['100', -0.6998177032455032, -0.06079253108280515]], dtype=object) axis = 1, skipna = True, kwds = {'ddof': 1}, k = 'ddof', v = 1 @functools.wraps(alt) def f( values: np.ndarray, *, axis: int | None = None, skipna: bool = True, **kwds, ): if len(self.kwargs) > 0: for k, v in self.kwargs.items(): if k not in kwds: kwds[k] = v if values.size == 0 and kwds.get("min_count") is None: # We are empty, returning NA for our type # Only applies for the default `min_count` of None # since that affects how empty arrays are handled. # TODO(GH-18976) update all the nanops methods to # correctly handle empty inputs and remove this check. # It *may* just be `var` return _na_for_min_count(values, axis) if _USE_BOTTLENECK and skipna and _bn_ok_dtype(values.dtype, bn_name): if kwds.get("mask", None) is None: # `mask` is not recognised by bottleneck, would raise # TypeError if called kwds.pop("mask", None) result = bn_func(values, axis=axis, **kwds) # prefer to treat inf/-inf as NA, but must compute the func # twice :( if _has_infs(result): result = alt(values, axis=axis, skipna=skipna, **kwds) else: result = alt(values, axis=axis, skipna=skipna, **kwds) else: > result = alt(values, axis=axis, skipna=skipna, **kwds) pandas/core/nanops.py:155: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ values = array([['100', -0.6998177032455032, -0.06079253108280515]], dtype=object) @bottleneck_switch(ddof=1) def nanstd(values, *, axis=None, skipna=True, ddof=1, mask=None): """ Compute the standard deviation along given axis while ignoring NaNs Parameters ---------- values : ndarray axis : int, optional skipna : bool, default True ddof : int, default 1 Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements. mask : ndarray[bool], optional nan-mask if known Returns ------- result : float Unless input is a float array, in which case use the same precision as the input array. Examples -------- >>> import pandas.core.nanops as nanops >>> s = pd.Series([1, np.nan, 2, 3]) >>> nanops.nanstd(s) 1.0 """ if values.dtype == "M8[ns]": values = values.view("m8[ns]") orig_dtype = values.dtype values, mask, _, _, _ = _get_values(values, skipna, mask=mask) > result = np.sqrt(nanvar(values, axis=axis, skipna=skipna, ddof=ddof, mask=mask)) pandas/core/nanops.py:897: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ args = (array([['100', -0.6998177032455032, -0.06079253108280515]], dtype=object),) kwargs = {'axis': 1, 'ddof': 1, 'mask': array([[False, False, False]]), 'skipna': True} obj_iter = <itertools.chain object at 0x146c93820> @functools.wraps(f) def _f(*args, **kwargs): obj_iter = itertools.chain(args, kwargs.values()) if any(self.check(obj) for obj in obj_iter): f_name = f.__name__.replace("nan", "") raise TypeError( f"reduction operation '{f_name}' not allowed for this dtype" ) try: with np.errstate(invalid="ignore"): > return f(*args, **kwargs) pandas/core/nanops.py:93: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ values = array([['100', -0.6998177032455032, -0.06079253108280515]], dtype=object) axis = 1, skipna = True kwds = {'ddof': 1, 'mask': array([[False, False, False]])}, k = 'ddof', v = 1 @functools.wraps(alt) def f( values: np.ndarray, *, axis: int | None = None, skipna: bool = True, **kwds, ): if len(self.kwargs) > 0: for k, v in self.kwargs.items(): if k not in kwds: kwds[k] = v if values.size == 0 and kwds.get("min_count") is None: # We are empty, returning NA for our type # Only applies for the default `min_count` of None # since that affects how empty arrays are handled. # TODO(GH-18976) update all the nanops methods to # correctly handle empty inputs and remove this check. # It *may* just be `var` return _na_for_min_count(values, axis) if _USE_BOTTLENECK and skipna and _bn_ok_dtype(values.dtype, bn_name): if kwds.get("mask", None) is None: # `mask` is not recognised by bottleneck, would raise # TypeError if called kwds.pop("mask", None) result = bn_func(values, axis=axis, **kwds) # prefer to treat inf/-inf as NA, but must compute the func # twice :( if _has_infs(result): result = alt(values, axis=axis, skipna=skipna, **kwds) else: result = alt(values, axis=axis, skipna=skipna, **kwds) else: > result = alt(values, axis=axis, skipna=skipna, **kwds) pandas/core/nanops.py:155: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ values = array([['100', -0.6998177032455032, -0.06079253108280515]], dtype=object) @disallow("M8", "m8") @bottleneck_switch(ddof=1) def nanvar(values, *, axis=None, skipna=True, ddof=1, mask=None): """ Compute the variance along given axis while ignoring NaNs Parameters ---------- values : ndarray axis : int, optional skipna : bool, default True ddof : int, default 1 Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements. mask : ndarray[bool], optional nan-mask if known Returns ------- result : float Unless input is a float array, in which case use the same precision as the input array. Examples -------- >>> import pandas.core.nanops as nanops >>> s = pd.Series([1, np.nan, 2, 3]) >>> nanops.nanvar(s) 1.0 """ values = extract_array(values, extract_numpy=True) dtype = values.dtype mask = _maybe_get_mask(values, skipna, mask) if is_any_int_dtype(dtype): values = values.astype("f8") if mask is not None: values[mask] = np.nan if is_float_dtype(values.dtype): count, d = _get_counts_nanvar(values.shape, mask, axis, ddof, values.dtype) else: count, d = _get_counts_nanvar(values.shape, mask, axis, ddof) if skipna and mask is not None: values = values.copy() np.putmask(values, mask, 0) # xref GH10242 # Compute variance via two-pass algorithm, which is stable against # cancellation errors and relatively accurate for small numbers of # observations. # # See https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance > avg = _ensure_numeric(values.sum(axis=axis, dtype=np.float64)) / count pandas/core/nanops.py:954: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ a = array([['100', -0.6998177032455032, -0.06079253108280515]], dtype=object) axis = 1, dtype = <class 'numpy.float64'>, out = None, keepdims = False initial = <no value>, where = True def _sum(a, axis=None, dtype=None, out=None, keepdims=False, initial=_NoValue, where=True): > return umr_sum(a, axis, dtype, out, keepdims, initial, where) E TypeError: No loop matching the specified signature and casting was found for ufunc add ```

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PR_kwDOAA0YD84td6ln

Backport PR #44124 on branch 1.3.x (CI: Use Windows and MacOS Numpy Wheels)

closed

NONE

Backport PR #44124: CI: Use Windows and MacOS Numpy Wheels

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PR_kwDOAA0YD84teSqV

TST: Move some window/moments tests to test_ewm

closed

MEMBER

- [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them Since some tests are not running on `windows/moments` (https://github.com/pandas-dev/pandas/issues/37535), moving some lighter ewm tests to `test_ewm.py`

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PR_kwDOAA0YD84teUBp

TST: Move test_moments_rolling.py to approproate files

closed

MEMBER

- [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them Since some tests are not running on `windows/moments` (https://github.com/pandas-dev/pandas/issues/37535), moving some lighter rolling test to appropriate locations

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PR_kwDOAA0YD84teakh

disambiguate documentation for pandas.Series replace

closed

CONTRIBUTOR

Currently, the `pandas.Series` that is used for the example for `pandas.Series.replace` has an index which is identical to its values (i.e. `pandas.Series([0, 1, 2, 3, 4])`). This can be quite confusing at a first glance (as it was for me), as I assumed that `pandas.Series.replace` was using the index of the series (whereas it is actually using the values). Updated the documentation to use `pandas.Series([1, 2, 3, 4, 5])` to remove this ambiguity.

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PR_kwDOAA0YD84tfQag

BUG: make `mean()` raise an exception for strings

open

NONE

- [x] closes #44008 - [x] closes #36703 - [x] closes #34671 - [x] closes #22642 - [x] closes #26927 - [x] closes #13916 - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [x] whatsnew entry This PR makes `mean()` raise an exception when `sum()` returns a string. Sum performs as expected since it concatenates. However `_ensure_numeric` causes implicit conversion of `str` to a numeric datatype https://github.com/pandas-dev/pandas/blob/f3f90c33966e3ba334c459ad89d607f820caa1f8/pandas/core/nanops.py#L694 Instead of this, the return value of `sum()` will be checked and if it is a string, an exception will be raised. This is a breaking change.

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I_kwDOAA0YD849jReB

BUG: `groupby.sum` removed columns in case sequential calls of several `groupby.sum`

open

NONE

### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd from pandas import util df = util.testing.makeMixedDataFrame() df = df.to_numpy() df = pd.DataFrame(df) df.columns = ["A", "B", "C", "D"] df = df.set_index("B") df1, df2 = df.iloc[:2], df.iloc[2:] groupby1 = df1.groupby("B").sum() groupby2 = df2.groupby("B").sum() df_conc = pd.concat([groupby1, groupby2], axis=0) print(f'\nConcatenated dataframe from partial results:\n{df_conc}') print(f'\nOriginal dataframe:\n{df}') conc_sum = df_conc.groupby(level=0).sum() orig_sum = df.groupby(level=0).sum() print(f'\nConcatenated df groupby.sum: \n{conc_sum}') print(f'\nOriginal df groupby.sum: \n{orig_sum}') ``` ### Issue Description Script output ```bash Concatenated dataframe from partial results: A C B 0.0 0.0 foo1 1.0 1.0 foo2 0.0 6.0 foo3foo5 1.0 3.0 foo4 Original dataframe: A C D B 0.0 0.0 foo1 2009-01-01 1.0 1.0 foo2 2009-01-02 0.0 2.0 foo3 2009-01-05 1.0 3.0 foo4 2009-01-06 0.0 4.0 foo5 2009-01-07 Concatenated df groupby.sum: A # Column `C` is missed B 0.0 6.0 1.0 4.0 Original df groupby.sum: A C B 0.0 6.0 foo1foo3foo5 1.0 4.0 foo2foo4 ``` `groupby.sum` misses columns in case of splitting DataFrame on several parts and applying `groupby.sum` first for each part then for concatenation result of processed parts. One observation: `groupby.sum` changed `dtypes` of partitions. If align `dtypes` of partitions with `df.dtypes` we can get expected behavior. ### Expected Behavior Expected results: ```bash Concatenated df groupby.sum: A C B 0.0 6.0 foo1foo3foo5 1.0 4.0 foo2foo4 Original df groupby.sum: A C B 0.0 6.0 foo1foo3foo5 1.0 4.0 foo2foo4 ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 73c68257545b5f8530b7044f56647bd2db92e2ba python : 3.8.10.final.0 python-bits : 64 OS : Linux OS-release : 5.4.0-65-generic Version : #73-Ubuntu SMP Mon Jan 18 17:25:17 UTC 2021 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US LOCALE : en_US.ISO8859-1 pandas : 1.3.3 numpy : 1.21.0 pytz : 2021.1 dateutil : 2.8.1 pip : 21.1.3 setuptools : 52.0.0.post20210125 Cython : None pytest : 6.2.4 hypothesis : None sphinx : 4.1.2 blosc : None feather : 0.4.1 xlsxwriter : None lxml.etree : 4.6.3 html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.1 IPython : 7.25.0 pandas_datareader: None bs4 : None bottleneck : None fsspec : 2021.06.1 fastparquet : None gcsfs : None matplotlib : 3.2.2 numexpr : 2.7.3 odfpy : None openpyxl : 3.0.7 pandas_gbq : 0.15.0 pyarrow : 4.0.1 pyxlsb : None s3fs : 2021.06.1 scipy : 1.7.0 sqlalchemy : 1.4.20 tables : 3.6.1 tabulate : None xarray : 0.18.2 xlrd : 2.0.1 xlwt : None numba : None </details>

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PR_kwDOAA0YD84tgTft

REF: simplify EA.astype

closed

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- [ ] closes #xxxx - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry

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PR_kwDOAA0YD84tgUqQ

CI: Pin pre-commit python version

closed

CONTRIBUTOR

- [x] closes #44116 Looks like GH actions/setup-python seems to have randomly jumped from python 3.9.7 to python 3.10.0 Working: https://github.com/pandas-dev/pandas/runs/3947277622?check_suite_focus=true#step:3:5 Failing: https://github.com/pandas-dev/pandas/runs/3960125988?check_suite_focus=true#step:3:5 We can pin to a specific python version as per: https://github.com/actions/setup-python#usage Needs backport to 1.3.x also failing there to: https://github.com/pandas-dev/pandas/runs/3959049188?check_suite_focus=true

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PR_kwDOAA0YD84tgiq2

Backport PR #44134 on branch 1.3.x (CI: Pin pre-commit python version)

closed

NONE

Backport PR #44134: CI: Pin pre-commit python version

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I_kwDOAA0YD849jvDM

BUILD: Unable to compile on Windows 10 with Python 3.10

open

NONE

When downloading the tar ball and executing “py setup.py develop” most of the build succeeds until you ge to the step where it tries to build pandas._libs.indexing, because indexing.c is not in the _libs directory, the build fails with the following error: Exception: Cython-generated file ‘pandas\_lib/indexing.c’ not found. Cython is required to compile pandas from a development branch. Please install Cython or download a release package of pandas. For the record, there is no official release of Pandas for Python 3.10 on Windows or Macintosh, only Linux. cython is installed: py -c “import cython; print(cython.__version__)” 0.29.24

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PR_kwDOAA0YD84tg3ae

BUG: yaml.dump(DataFrame)

closed

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- [x] closes #42748 - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [x] whatsnew entry

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PR_kwDOAA0YD84thqEi

ENH: ExtensionArray.insert

closed

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PR_kwDOAA0YD84thsQF

CLN: remove pyarrow<1 compat

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xref #41329 #44064

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PR_kwDOAA0YD84thxi5

Move moments/test_moments_rolling_apply.py to window/test_apply.py

closed

MEMBER

- [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them Since some tests are not running on `windows/moments` (https://github.com/pandas-dev/pandas/issues/37535), moving some lighter apply tests to `test_apply.py`

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PR_kwDOAA0YD84thzXp

Move moments/test_moments_rolling_*.py tests to windows/test_rolling_*.py

closed

MEMBER

- [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them A part of addressing (#37535), moving some tests under the window directory.

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PR_kwDOAA0YD84tiJ9p

Fixes Issues#44132, #40148, #29033, #22275, #18869: groupby

open

NONE

- [x] closes #44132 - [x] closes #40148 - [x] closes #29033 - [x] closes #22275 - [x] closes #18869 - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry

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I_kwDOAA0YD849mtrg

CI: mypy failures

closed

CONTRIBUTOR

Seeing this in multiple builds: https://github.com/pandas-dev/pandas/runs/3972068892?check_suite_focus=true ``` mypy --version mypy 0.910 Performing static analysis using mypy pandas/core/dtypes/cast.py:913: error: Incompatible types in assignment (expression has type "ndarray[Any, dtype[Any]]", variable has type "NumpyArrayT") [assignment] pandas/tests/indexes/test_engines.py:65: error: unused "type: ignore" comment ``` Taking a look now

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PR_kwDOAA0YD84tjMTl

CI: Fix mypy failures

closed

CONTRIBUTOR

- [x] closes #44143

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I_kwDOAA0YD849nCPj

BUG: to_numeric str to float has missing digit precision

open

NONE

### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd pd.set_option("display.precision", 20) df = pd.DataFrame(data=["0.01234567890123456789", "0.00498124967521367"], columns=["string"]) df["float"] = pd.to_numeric(df["string"]) df.head() ``` ### Issue Description The conversion to string shall at least return a precision of 17 digits after decimal point. The first number exceeds voluntarily the maximum precision of 17 digits allowed by FLOAT64 representation. The second number has exactly 17 digits ### Expected Behavior In 1.1.5 version, output: ``` string float 0 0.01234567890123456789 0.01234567890123457017 1 0.00498124967521367 0.00498124967521367066 ``` When 1.2.0 version (and further versions) outputs: ``` string float 0 0.01234567890123456789 0.01234567890123450078 1 0.00498124967521367 0.00498124967521360040 ``` I think the behaviour fro 1.1.5 should be the right one, keeping a 17 digits precision while converting string to float. ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5 python : 3.8.11.final.0 python-bits : 64 OS : Linux OS-release : 3.10.0-693.el7.x86_64 Version : #1 SMP Tue Aug 22 21:09:27 UTC 2017 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.3.4 numpy : 1.19.5 pytz : 2021.3 dateutil : 2.8.2 pip : 21.3 setuptools : 58.2.0 Cython : 0.29.24 pytest : 6.1.2 hypothesis : None sphinx : 4.2.0 blosc : None feather : None xlsxwriter : 3.0.1 lxml.etree : 4.6.3 html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.2 IPython : 7.28.0 pandas_datareader: None bs4 : None bottleneck : None fsspec : 2021.10.1 fastparquet : None gcsfs : None matplotlib : 3.4.3 numexpr : 2.7.3 odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : 5.0.0 pyxlsb : None s3fs : None scipy : 1.7.1 sqlalchemy : 1.4.25 tables : 3.6.1 tabulate : 0.8.9 xarray : 0.19.0 xlrd : 2.0.1 xlwt : 1.3.0 numba : 0.54.1 </details>

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I_kwDOAA0YD849nU0r

DOC: 'MS' offset alias does not work as described with pd.date_range()

open

NONE

### - [X] I have checked that the issue still exists on the latest versions of the docs on `master` [here](https://pandas.pydata.org/docs/dev/) ### Location of the documentation https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases ### Documentation problem The current documentation for the `MS` offset alias reads as follows: "month start frequency", indicating that it is the complement of `M` (which is "month end frequency"). However, for any date supplied to `pd.date_range(start=[date], ... freq='MS')` other than the first of the month, this offset alias starts from the beginning of the **next** month. See [this](https://stackoverflow.com/questions/34915828/pandas-date-range-to-generate-monthly-data-at-beginning-of-the-month) StackOverflow post (second answer) for a more detailed explanation. However, in brief: ``` start = "2020-03-08" end = "2021-03-08" pd.date_range(start, end, freq='MS') ``` gives ``` DatetimeIndex(['2020-04-01', '2020-05-01', '2020-06-01', '2020-07-01', '2020-08-01', '2020-09-01', '2020-10-01', '2020-11-01', '2020-12-01', '2021-01-01', '2021-02-01', '2021-03-01'], dtype='datetime64[ns]', freq='MS') ``` It should be noted that supplying the first day of the month as the start date keeps the expected behaviour (i.e. the start point of the range is the first of the month supplied). ### Suggested fix for documentation If the behaviour of the `MS` offset alias is indeed correct (i.e. to start at the beginning of the **next** month), then this should be indicated in the documentation with a note. For example: """ `MS` = month start frequency. Note, for any day other than the first day of the month this will cause the offset to start at the beginning of the next month. """ The above explanation correctly encapsulates the current functionality of the `MS` offset, especially within `pd.date_range()`. The current documentation would incorrectly lead a person to believe that the `MS` offset would cause the start date to be the start of the month of the date supplied. If this behaviour is not correct, and `MS` should be causing the start date to be the start of the month of the date supplied, then a subsequent bug would need to be raised.

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I_kwDOAA0YD849nY8J

BUG: Error when using usecols with names in read_csv

closed

NONE

### - [x] I have checked that this issue has not already been reported. - [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [x] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd # pd.show_versions() df = pd.DataFrame({'X': [1, 2, 3], 'V1': [34, 6, 5], 'V2': [4, 7, 3], 'V3': [ 5, 56, 2]}) df.to_csv('df1.csv',index=False) ## Now read. df_1 = pd.read_csv('df1.csv',usecols = ['X','V1','V3'],header = 0) print(df_1) df_2 = pd.read_csv('df1.csv',usecols = [0,1,3],header = 0,names = ['T','V1','V3']) print(df_2) df_3 = pd.read_csv('df1.csv',usecols = ['X','V1','V3'],header = 0,names = ['T','y1','y3']) print(df_3) ``` ### Issue Description When importing a csv into a dataframe, I want to import certain columns and rename some of them. See example below. ``` import pandas as pd # pd.show_versions() df = pd.DataFrame({'X': [1, 2, 3], 'V1': [34, 6, 5], 'V2': [4, 7, 3], 'V3': [ 5, 56, 2]}) df.to_csv('df1.csv',index=False) ## Now read. df_1 = pd.read_csv('df1.csv',usecols = ['X','V1','V3'],header = 0) print(df_1) df_2 = pd.read_csv('df1.csv',usecols = [0,1,3],header = 0,names = ['T','V1','V3']) print(df_2) df_3 = pd.read_csv('df1.csv',usecols = ['X','V1','V3'],header = 0,names = ['T','y1','y3']) print(df_3) ``` When doing this, I get the error message that "ValueError: Usecols do not match columns, columns expected but not found: ['X']" The code works when I don't use the names option. The code also works when I supply the column indices to usecols instead of column names in the csv file. This is prone to human error, so I'd like to avoid it. ### Expected Behavior Expect df_3 to be created with new column names. ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5 python : 3.9.7.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.19042 machine : AMD64 processor : Intel64 Family 6 Model 142 Stepping 12, GenuineIntel byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : English_United States.1252 pandas : 1.3.4 numpy : 1.21.3 pytz : 2021.3 dateutil : 2.8.2 pip : 21.3 setuptools : 57.4.0 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.2 IPython : 7.28.0 pandas_datareader: None bs4 : None bottleneck : None fsspec : None fastparquet : None gcsfs : None matplotlib : 3.4.3 numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pyxlsb : None s3fs : None scipy : 1.7.1 sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None numba : None </details>

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PR_kwDOAA0YD84tj88C

CLN: tests

closed

MEMBER

Includes de-special-casing some using_array_manager tests

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PR_kwDOAA0YD84tkFwU

Backport PR #44144 on branch 1.3.x (CI: Fix mypy failures)

closed

NONE

Backport PR #44144: CI: Fix mypy failures

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PR_kwDOAA0YD84tkNwC

CLN: remove unused fields.pyx code/asvs

closed

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- [ ] closes #xxxx - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry

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PR_kwDOAA0YD84tkdsG

TST: fix FIXMEs

closed

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- [ ] closes #xxxx - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry

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I_kwDOAA0YD849oUnz

ENH: tm.assert_(is|not)_copy, tm.shares_memory

open

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There are a number of places in the tests where we check that a result is a copy, is not a copy, is a view, is not a view, etc. We end up with ad-hoc implementations all over the place. It'd be nice to have a something like `assert not tm.shares_memory(series, series.copy())`. This would likely require EA authors to implement parts of it.

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I_kwDOAA0YD849oWZy

CI: Flakey Arm Tests

open

CONTRIBUTOR

Ref: https://github.com/pandas-dev/pandas/issues/41740 https://app.circleci.com/pipelines/github/pandas-dev/pandas/1629/workflows/fdbd00a1-21ba-45fb-8813-c4cfd2a06305/jobs/32470 ________________________ TestRename.test_rename_inplace ________________________ [gw1] linux -- Python 3.7.10 /home/circleci/miniconda3/envs/pandas-dev/bin/python self = <pandas.tests.frame.methods.test_rename.TestRename object at 0xffff47ba8510> float_frame = A B foo D a3RR7rMUiG 0.656936 1.215185 0.629301 0.115558 7SCDtsxI3g -1.65....288884 -1.874402 WYIEEfxzV5 0.138755 -0.304313 0.827201 -0.329769 7WsSg25BaJ 0.632135 1.551402 1.333670 -0.128241 def test_rename_inplace(self, float_frame): float_frame.rename(columns={"C": "foo"}) assert "C" in float_frame assert "foo" not in float_frame c_id = id(float_frame["C"]) float_frame = float_frame.copy() return_value = float_frame.rename(columns={"C": "foo"}, inplace=True) assert return_value is None assert "C" not in float_frame assert "foo" in float_frame > assert id(float_frame["foo"]) != c_id E assert 281471885249296 != 281471885249296 E + where 281471885249296 = id(a3RR7rMUiG 0.629301\n7SCDtsxI3g -0.051768\nvptsj7jAlg 0.355503\nB3utB9zDIM 0.047273\nOxQGHHlFri 0.780563\nhyK...3\nw2htgi2mxz 0.198167\n3O7zwMIcBM 1.288884\nWYIEEfxzV5 0.827201\n7WsSg25BaJ 1.333670\nName: foo, dtype: float64) pandas/tests/frame/methods/test_rename.py:191: AssertionError

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PR_kwDOAA0YD84tksKt

CLN/TST: address/annotate TODOs

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PR_kwDOAA0YD84tlFem

TST: enable interval dtype feather test again

closed

MEMBER

Closes #34255

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I_kwDOAA0YD849pN0K

BUG: `astype("str")` converts NA values to strings

open

CONTRIBUTOR

### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd import numpy as np pd.Series(["foo", "bar", pd.NA]).astype("str") // ["foo", "bar", "<NA>"] pd.Series(["foo", "bar", np.NaN]).astype("str") // ["foo", "bar", "nan"] pd.Series(["foo", "bar", None]).astype("str") // ["foo", "bar", "None"] ``` ### Issue Description NA/null values are converted to their string representation when doing `.astype("str")`, which seems like odd/undesirable behaviour. ### Expected Behavior ``` import pandas as pd import numpy as np pd.Series(["foo", "bar", pd.NA]).astype("str") // ["foo", "bar", pd.NA] pd.Series(["foo", "bar", np.NaN]).astype("str") // ["foo", "bar", np.NaN] pd.Series(["foo", "bar", None]).astype("str") // ["foo", "bar", None] ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 9b2bb732f09d8e870d806b337b97d3d99fd5b118 python : 3.9.7.final.0 python-bits : 64 OS : Darwin OS-release : 20.6.0 Version : Darwin Kernel Version 20.6.0: Wed Jun 23 00:26:31 PDT 2021; root:xnu-7195.141.2~5/RELEASE_X86_64 machine : x86_64 processor : i386 byteorder : little LC_ALL : None LANG : en_GB.UTF-8 LOCALE : en_GB.UTF-8 pandas : 1.4.0.dev0+952.g9b2bb732f0 numpy : 1.21.3 pytz : 2021.3 dateutil : 2.8.2 pip : 21.3 setuptools : 58.2.0 Cython : 0.29.24 pytest : 6.2.5 hypothesis : 6.23.4 sphinx : 4.2.0 blosc : None feather : None xlsxwriter : None lxml.etree : 4.6.3 html5lib : 1.1 pymysql : None psycopg2 : None jinja2 : 3.0.2 IPython : None pandas_datareader: None bs4 : 4.10.0 bottleneck : None fsspec : None fastparquet : None gcsfs : None matplotlib : None numexpr : None odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : 5.0.0 pyxlsb : None s3fs : None scipy : None sqlalchemy : None tables : None tabulate : 0.8.9 xarray : None xlrd : 2.0.1 xlwt : None numba : None </details>

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I_kwDOAA0YD849pN-2

BUG: .str.split() method of pandas.Series behaves strangely

closed

NONE

### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [ ] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd series = pd.Series(['bae systems (international) ltd']) series.str.split('a. s.') # returns 0 [b, stems (international) ltd] ``` ### Issue Description The .str.split() method of Pandas Series does not split items as expected. ### Expected Behavior The .str method of Pandas Series does not split items as expected. `s = "bae systems (international) ltd"` `s.split('a. s.') ` `# should return ` `['bae systems (international) ltd'] ` ### Installed Versions <details> pandas 1.3.0 </details>

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I_kwDOAA0YD849pajE

PERF: Why does specifying the index column in pandas significantly increases the read time of a csv?

open

NONE

### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this issue exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this issue exists on the master branch of pandas. ### Reproducible Example I am seeing a significantly increased read time for a CSV by pandas when I specify the `index_col`. I do not understand the reason behind it. Can you help me understand why that is happening and if that is actually the expected behaviour? Below is the code I am using: ``` import pandas as pd #save the CSV to be used pd.DataFrame({'id':np.arange(100000000),'b':np.random.choice(['a','b','c','d'],size=(100000000,),p=[0.25,0.25,0.25,0.25])}).to_csv('df_sp.csv',index=None) dfpd = pd.read_csv('df_sp.csv') #read time - 10.3 seconds dfpd = pd.read_csv('df_sp.csv',index_col='id') #read time - 1 minute 38.6 seconds ``` In fact, I am seeing significant improvement if I read the dataset without specifying ```index_col``` and then set the index by ```dfpd = dfpd.set_index('id')```. This takes just 1.6 more seconds. Why does pandas not default to always reading the dataframe with ```index_col``` as a column and then setting it as the index internally with ```set_index(index_col)``` when ```index_col``` is specified? ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 73c68257545b5f8530b7044f56647bd2db92e2ba python : 3.9.7.final.0 python-bits : 64 OS : Linux OS-release : 5.4.0-89-generic Version : #100-Ubuntu SMP Fri Sep 24 14:50:10 UTC 2021 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_IN LOCALE : en_IN.ISO8859-1 pandas : 1.3.3 numpy : 1.21.2 pytz : 2021.1 dateutil : 2.8.2 pip : 21.2.4 setuptools : 58.0.4 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.1 IPython : 7.25.0 pandas_datareader: None bs4 : None bottleneck : None fsspec : 2021.09.0 fastparquet : None gcsfs : None matplotlib : 3.4.3 numexpr : None odfpy : None openpyxl : 3.0.7 pandas_gbq : None pyarrow : 5.0.0 pyxlsb : None s3fs : None scipy : 1.7.1 sqlalchemy : 1.4.23 tables : None tabulate : 0.8.9 xarray : 0.19.0 xlrd : 2.0.1 xlwt : None numba : 0.53.1 </details> ### Prior Performance _No response_

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I_kwDOAA0YD849pazX

BUILD:

closed

NONE

### - [X] I have read the [installation guide](https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html#installing-pandas). ### Platform Windows-10-10.0.19043-SP0 ### Installation Method pip install ### pandas Version ~~1.3.1~~1.3.4(edited by @lithomas1, the logs indicate that the version installed is 1.3.4 not 1.3.1) ### Python Version 3.10 ### Installation Logs I did the following: - fresh install of python 3.10 from python.org - Added python executable and scripts directories to path (C:\Users\921479\AppData\Local\Programs\Python\Python310\ and C:\Users\921479\AppData\Local\Programs\Python\Python310\Scripts\) - Ran a `pip install pandas` The build dependencies step lagged, and then I got a huge error as follows: ``` Collecting pandas Using cached pandas-1.3.4.tar.gz (4.7 MB) Installing build dependencies ... error ERROR: Command errored out with exit status 1: command: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\pip-standalone-pip-c41017tf\__env_pip__.zip\pip' install --ignore-installed --no-user --prefix 'C:\Users\921479\AppData\Local\Temp\pip-build-env-e81txlwo\overlay' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- 'setuptools>=51.0.0' wheel 'Cython>=0.29.24,<3' 'oldest-supported-numpy>=0.10' cwd: None Complete output (235 lines): Collecting setuptools>=51.0.0 Using cached setuptools-58.3.0-py3-none-any.whl (946 kB) Collecting wheel Using cached wheel-0.37.0-py2.py3-none-any.whl (35 kB) Collecting Cython<3,>=0.29.24 Using cached Cython-0.29.24-py2.py3-none-any.whl (979 kB) Collecting oldest-supported-numpy>=0.10 Using cached oldest_supported_numpy-0.10-py3-none-any.whl (3.8 kB) Collecting numpy==1.21.2 Using cached numpy-1.21.2.zip (10.3 MB) Installing build dependencies: started Installing build dependencies: finished with status 'done' Getting requirements to build wheel: started Getting requirements to build wheel: finished with status 'done' Preparing metadata (pyproject.toml): started Preparing metadata (pyproject.toml): finished with status 'done' Building wheels for collected packages: numpy Building wheel for numpy (pyproject.toml): started Building wheel for numpy (pyproject.toml): finished with status 'error' ERROR: Command errored out with exit status 1: command: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\tmp22eoyv9q_in_process.py' build_wheel 'C:\Users\921479\AppData\Local\Temp\tmpvzzhq1ml' cwd: C:\Users\921479\AppData\Local\Temp\pip-install-ni6y_7h9\numpy_4aac2ddf32f143248a580c59946b9d1f Complete output (208 lines): setup.py:63: RuntimeWarning: NumPy 1.21.2 may not yet support Python 3.10. warnings.warn( Running from numpy source directory. C:\Users\921479\AppData\Local\Temp\pip-install-ni6y_7h9\numpy_4aac2ddf32f143248a580c59946b9d1f\tools\cythonize.py:69: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives from distutils.version import LooseVersion Processing numpy/random\_bounded_integers.pxd.in Processing numpy/random\bit_generator.pyx Processing numpy/random\mtrand.pyx Processing numpy/random\_bounded_integers.pyx.in Processing numpy/random\_common.pyx Processing numpy/random\_generator.pyx Processing numpy/random\_mt19937.pyx Processing numpy/random\_pcg64.pyx Processing numpy/random\_philox.pyx Processing numpy/random\_sfc64.pyx Cythonizing sources blas_opt_info: blas_mkl_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries mkl_rt not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE blis_info: libraries blis not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_info: libraries openblas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] get_default_fcompiler: matching types: '['gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95', 'intelvem', 'intelem', 'flang']' customize GnuFCompiler Could not locate executable g77 Could not locate executable f77 customize IntelVisualFCompiler Could not locate executable ifort Could not locate executable ifl customize AbsoftFCompiler Could not locate executable f90 customize CompaqVisualFCompiler Could not locate executable DF customize IntelItaniumVisualFCompiler Could not locate executable efl customize Gnu95FCompiler Could not locate executable gfortran Could not locate executable f95 customize G95FCompiler Could not locate executable g95 customize IntelEM64VisualFCompiler customize IntelEM64TFCompiler Could not locate executable efort Could not locate executable efc customize PGroupFlangCompiler Could not locate executable flang don't know how to compile Fortran code on platform 'nt' NOT AVAILABLE accelerate_info: NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS libraries tatlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_3_10_blas_info: libraries satlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-ni6y_7h9\numpy_4aac2ddf32f143248a580c59946b9d1f\numpy\distutils\system_info.py:2026: UserWarning: Optimized (vendor) Blas libraries are not found. Falls back to netlib Blas library which has worse performance. A better performance should be easily gained by switching Blas library. if self._calc_info(blas): blas_info: libraries blas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-ni6y_7h9\numpy_4aac2ddf32f143248a580c59946b9d1f\numpy\distutils\system_info.py:2026: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. if self._calc_info(blas): blas_src_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-ni6y_7h9\numpy_4aac2ddf32f143248a580c59946b9d1f\numpy\distutils\system_info.py:2026: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. if self._calc_info(blas): NOT AVAILABLE non-existing path in 'numpy\\distutils': 'site.cfg' lapack_opt_info: lapack_mkl_info: libraries mkl_rt not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_lapack_info: libraries openblas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_clapack_info: libraries openblas,lapack not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE flame_info: libraries flame not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_3_10_threads_info: Setting PTATLAS=ATLAS libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries tatlas,tatlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries tatlas,tatlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries tatlas,tatlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_3_10_threads_info'> NOT AVAILABLE atlas_3_10_info: libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries satlas,satlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries satlas,satlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries satlas,satlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_3_10_info'> NOT AVAILABLE atlas_threads_info: Setting PTATLAS=ATLAS libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries ptf77blas,ptcblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries ptf77blas,ptcblas,atlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries ptf77blas,ptcblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_threads_info'> NOT AVAILABLE atlas_info: libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries f77blas,cblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries f77blas,cblas,atlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries f77blas,cblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_info'> NOT AVAILABLE lapack_info: libraries lapack not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-ni6y_7h9\numpy_4aac2ddf32f143248a580c59946b9d1f\numpy\distutils\system_info.py:1858: UserWarning: Lapack (http://www.netlib.org/lapack/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [lapack]) or by setting the LAPACK environment variable. return getattr(self, '_calc_info_{}'.format(name))() lapack_src_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-ni6y_7h9\numpy_4aac2ddf32f143248a580c59946b9d1f\numpy\distutils\system_info.py:1858: UserWarning: Lapack (http://www.netlib.org/lapack/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [lapack_src]) or by setting the LAPACK_SRC environment variable. return getattr(self, '_calc_info_{}'.format(name))() NOT AVAILABLE numpy_linalg_lapack_lite: FOUND: language = c define_macros = [('HAVE_BLAS_ILP64', None), ('BLAS_SYMBOL_SUFFIX', '64_')] Warning: attempted relative import with no known parent package C:\Users\921479\AppData\Local\Programs\Python\Python310\lib\distutils\dist.py:274: UserWarning: Unknown distribution option: 'define_macros' warnings.warn(msg) running bdist_wheel running build running config_cc unifing config_cc, config, build_clib, build_ext, build commands --compiler options running config_fc unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options running build_src build_src building py_modules sources creating build creating build\src.win-amd64-3.10 creating build\src.win-amd64-3.10\numpy creating build\src.win-amd64-3.10\numpy\distutils building library "npymath" sources error: Microsoft Visual C++ 14.0 is required. Get it with "Build Tools for Visual Studio": https://visualstudio.microsoft.com/downloads/ ---------------------------------------- ERROR: Failed building wheel for numpy Failed to build numpy ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects ---------------------------------------- WARNING: Discarding https://files.pythonhosted.org/packages/58/58/b729eda34f78060e14cb430c91d4f7ba3cf1e34797976877a3a1125ea5b2/pandas-1.3.4.tar.gz#sha256=a2aa18d3f0b7d538e21932f637fbfe8518d085238b429e4790a35e1e44a96ffc (from https://pypi.org/simple/pandas/) (requires-python:>=3.7.1). Command errored out with exit status 1: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\pip-standalone-pip-c41017tf\__env_pip__.zip\pip' install --ignore-installed --no-user --prefix 'C:\Users\921479\AppData\Local\Temp\pip-build-env-e81txlwo\overlay' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- 'setuptools>=51.0.0' wheel 'Cython>=0.29.24,<3' 'oldest-supported-numpy>=0.10' Check the logs for full command output. Using cached pandas-1.3.3.tar.gz (4.7 MB) Installing build dependencies ... error ERROR: Command errored out with exit status 1: command: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\pip-standalone-pip-ava6d14u\__env_pip__.zip\pip' install --ignore-installed --no-user --prefix 'C:\Users\921479\AppData\Local\Temp\pip-build-env-bqyvyk0v\overlay' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- 'setuptools>=51.0.0' wheel 'Cython>=0.29.21,<3' 'numpy==1.17.3; python_version=='"'"'3.7'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.18.3; python_version=='"'"'3.8'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.7'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.9'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' cwd: None Complete output (232 lines): Ignoring numpy: markers 'python_version == "3.7" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.7" and platform_machine == "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and platform_machine == "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and platform_machine == "arm64" and platform_system == "Darwin"' don't match your environment Ignoring numpy: markers 'python_version == "3.9" and platform_machine == "arm64" and platform_system == "Darwin"' don't match your environment Collecting setuptools>=51.0.0 Using cached setuptools-58.3.0-py3-none-any.whl (946 kB) Collecting wheel Using cached wheel-0.37.0-py2.py3-none-any.whl (35 kB) Collecting Cython<3,>=0.29.21 Using cached Cython-0.29.24-py2.py3-none-any.whl (979 kB) Collecting numpy==1.19.3 Using cached numpy-1.19.3.zip (7.3 MB) Installing build dependencies: started Installing build dependencies: finished with status 'done' Getting requirements to build wheel: started Getting requirements to build wheel: finished with status 'done' Preparing metadata (pyproject.toml): started Preparing metadata (pyproject.toml): finished with status 'error' ERROR: Command errored out with exit status 1: command: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\tmpl9uv7ugv_in_process.py' prepare_metadata_for_build_wheel 'C:\Users\921479\AppData\Local\Temp\tmpciex2_c4' cwd: C:\Users\921479\AppData\Local\Temp\pip-install-tdc7gjhm\numpy_350c6b7af14140aab1fa10dc4459a4ae Complete output (204 lines): setup.py:67: RuntimeWarning: NumPy 1.19.3 may not yet support Python 3.10. warnings.warn( Running from numpy source directory. setup.py:480: UserWarning: Unrecognized setuptools command, proceeding with generating Cython sources and expanding templates run_build = parse_setuppy_commands() C:\Users\921479\AppData\Local\Temp\pip-install-tdc7gjhm\numpy_350c6b7af14140aab1fa10dc4459a4ae\tools\cythonize.py:67: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives from distutils.version import LooseVersion Processing numpy/random\_bounded_integers.pxd.in Processing numpy/random\bit_generator.pyx Processing numpy/random\mtrand.pyx Processing numpy/random\_bounded_integers.pyx.in Processing numpy/random\_common.pyx Processing numpy/random\_generator.pyx Processing numpy/random\_mt19937.pyx Processing numpy/random\_pcg64.pyx Processing numpy/random\_philox.pyx Processing numpy/random\_sfc64.pyx Cythonizing sources blas_opt_info: blas_mkl_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries mkl_rt not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE blis_info: libraries blis not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_info: libraries openblas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] get_default_fcompiler: matching types: '['gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95', 'intelvem', 'intelem', 'flang']' customize GnuFCompiler Could not locate executable g77 Could not locate executable f77 customize IntelVisualFCompiler Could not locate executable ifort Could not locate executable ifl customize AbsoftFCompiler Could not locate executable f90 customize CompaqVisualFCompiler Could not locate executable DF customize IntelItaniumVisualFCompiler Could not locate executable efl customize Gnu95FCompiler Could not locate executable gfortran Could not locate executable f95 customize G95FCompiler Could not locate executable g95 customize IntelEM64VisualFCompiler customize IntelEM64TFCompiler Could not locate executable efort Could not locate executable efc customize PGroupFlangCompiler Could not locate executable flang don't know how to compile Fortran code on platform 'nt' NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS libraries tatlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_3_10_blas_info: libraries satlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE accelerate_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-tdc7gjhm\numpy_350c6b7af14140aab1fa10dc4459a4ae\numpy\distutils\system_info.py:1914: UserWarning: Optimized (vendor) Blas libraries are not found. Falls back to netlib Blas library which has worse performance. A better performance should be easily gained by switching Blas library. if self._calc_info(blas): blas_info: libraries blas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-tdc7gjhm\numpy_350c6b7af14140aab1fa10dc4459a4ae\numpy\distutils\system_info.py:1914: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. if self._calc_info(blas): blas_src_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-tdc7gjhm\numpy_350c6b7af14140aab1fa10dc4459a4ae\numpy\distutils\system_info.py:1914: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. if self._calc_info(blas): NOT AVAILABLE non-existing path in 'numpy\\distutils': 'site.cfg' lapack_opt_info: lapack_mkl_info: libraries mkl_rt not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_lapack_info: libraries openblas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_clapack_info: libraries openblas,lapack not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE flame_info: libraries flame not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_3_10_threads_info: Setting PTATLAS=ATLAS libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries tatlas,tatlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries tatlas,tatlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries tatlas,tatlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_3_10_threads_info'> NOT AVAILABLE atlas_3_10_info: libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries satlas,satlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries satlas,satlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries satlas,satlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_3_10_info'> NOT AVAILABLE atlas_threads_info: Setting PTATLAS=ATLAS libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries ptf77blas,ptcblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries ptf77blas,ptcblas,atlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries ptf77blas,ptcblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_threads_info'> NOT AVAILABLE atlas_info: libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries f77blas,cblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries f77blas,cblas,atlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries f77blas,cblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_info'> NOT AVAILABLE lapack_info: libraries lapack not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-tdc7gjhm\numpy_350c6b7af14140aab1fa10dc4459a4ae\numpy\distutils\system_info.py:1748: UserWarning: Lapack (http://www.netlib.org/lapack/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [lapack]) or by setting the LAPACK environment variable. return getattr(self, '_calc_info_{}'.format(name))() lapack_src_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-tdc7gjhm\numpy_350c6b7af14140aab1fa10dc4459a4ae\numpy\distutils\system_info.py:1748: UserWarning: Lapack (http://www.netlib.org/lapack/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [lapack_src]) or by setting the LAPACK_SRC environment variable. return getattr(self, '_calc_info_{}'.format(name))() NOT AVAILABLE numpy_linalg_lapack_lite: FOUND: language = c define_macros = [('HAVE_BLAS_ILP64', None), ('BLAS_SYMBOL_SUFFIX', '64_')] C:\Users\921479\AppData\Local\Programs\Python\Python310\lib\distutils\dist.py:274: UserWarning: Unknown distribution option: 'define_macros' warnings.warn(msg) running dist_info running build_src build_src building py_modules sources creating build creating build\src.win-amd64-3.10 creating build\src.win-amd64-3.10\numpy creating build\src.win-amd64-3.10\numpy\distutils building library "npymath" sources error: Microsoft Visual C++ 14.0 is required. Get it with "Build Tools for Visual Studio": https://visualstudio.microsoft.com/downloads/ ---------------------------------------- WARNING: Discarding https://files.pythonhosted.org/packages/cb/c0/7b3d69e6ee68bc54c97ba51f8c3c3e43ff1dbc7bd97347cc19a1f944e60a/numpy-1.19.3.zip#sha256=35bf5316af8dc7c7db1ad45bec603e5fb28671beb98ebd1d65e8059efcfd3b72 (from https://pypi.org/simple/numpy/) (requires-python:>=3.6). Command errored out with exit status 1: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\tmpl9uv7ugv_in_process.py' prepare_metadata_for_build_wheel 'C:\Users\921479\AppData\Local\Temp\tmpciex2_c4' Check the logs for full command output. ERROR: Could not find a version that satisfies the requirement numpy==1.19.3 (from versions: 1.3.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.10.0.post2, 1.10.1, 1.10.2, 1.10.4, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.12.1, 1.13.0rc1, 1.13.0rc2, 1.13.0, 1.13.1, 1.13.3, 1.14.0rc1, 1.14.0, 1.14.1, 1.14.2, 1.14.3, 1.14.4, 1.14.5, 1.14.6, 1.15.0rc1, 1.15.0rc2, 1.15.0, 1.15.1, 1.15.2, 1.15.3, 1.15.4, 1.16.0rc1, 1.16.0rc2, 1.16.0, 1.16.1, 1.16.2, 1.16.3, 1.16.4, 1.16.5, 1.16.6, 1.17.0rc1, 1.17.0rc2, 1.17.0, 1.17.1, 1.17.2, 1.17.3, 1.17.4, 1.17.5, 1.18.0rc1, 1.18.0, 1.18.1, 1.18.2, 1.18.3, 1.18.4, 1.18.5, 1.19.0rc1, 1.19.0rc2, 1.19.0, 1.19.1, 1.19.2, 1.19.3, 1.19.4, 1.19.5, 1.20.0rc1, 1.20.0rc2, 1.20.0, 1.20.1, 1.20.2, 1.20.3, 1.21.0rc1, 1.21.0rc2, 1.21.0, 1.21.1, 1.21.2, 1.21.3) ERROR: No matching distribution found for numpy==1.19.3 ---------------------------------------- WARNING: Discarding https://files.pythonhosted.org/packages/71/65/3ab03ef46613e66880dba5b2c2cb5836938f0219389a11c10cfdc617e836/pandas-1.3.3.tar.gz#sha256=272c8cb14aa9793eada6b1ebe81994616e647b5892a370c7135efb2924b701df (from https://pypi.org/simple/pandas/) (requires-python:>=3.7.1). Command errored out with exit status 1: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\pip-standalone-pip-ava6d14u\__env_pip__.zip\pip' install --ignore-installed --no-user --prefix 'C:\Users\921479\AppData\Local\Temp\pip-build-env-bqyvyk0v\overlay' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- 'setuptools>=51.0.0' wheel 'Cython>=0.29.21,<3' 'numpy==1.17.3; python_version=='"'"'3.7'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.18.3; python_version=='"'"'3.8'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.7'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.9'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' Check the logs for full command output. Using cached pandas-1.3.2.tar.gz (4.7 MB) Installing build dependencies ... error ERROR: Command errored out with exit status 1: command: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\pip-standalone-pip-6zfx8nxg\__env_pip__.zip\pip' install --ignore-installed --no-user --prefix 'C:\Users\921479\AppData\Local\Temp\pip-build-env-9tlzccif\overlay' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- 'setuptools>=51.0.0' wheel 'Cython>=0.29.21,<3' 'numpy==1.17.3; python_version=='"'"'3.7'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.18.3; python_version=='"'"'3.8'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.7'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.9'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' cwd: None Complete output (232 lines): Ignoring numpy: markers 'python_version == "3.7" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.7" and platform_machine == "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and platform_machine == "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and platform_machine == "arm64" and platform_system == "Darwin"' don't match your environment Ignoring numpy: markers 'python_version == "3.9" and platform_machine == "arm64" and platform_system == "Darwin"' don't match your environment Collecting setuptools>=51.0.0 Using cached setuptools-58.3.0-py3-none-any.whl (946 kB) Collecting wheel Using cached wheel-0.37.0-py2.py3-none-any.whl (35 kB) Collecting Cython<3,>=0.29.21 Using cached Cython-0.29.24-py2.py3-none-any.whl (979 kB) Collecting numpy==1.19.3 Using cached numpy-1.19.3.zip (7.3 MB) Installing build dependencies: started Installing build dependencies: finished with status 'done' Getting requirements to build wheel: started Getting requirements to build wheel: finished with status 'done' Preparing metadata (pyproject.toml): started Preparing metadata (pyproject.toml): finished with status 'error' ERROR: Command errored out with exit status 1: command: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\tmpsh1m6el8_in_process.py' prepare_metadata_for_build_wheel 'C:\Users\921479\AppData\Local\Temp\tmpdxif4qbd' cwd: C:\Users\921479\AppData\Local\Temp\pip-install-65y3hff_\numpy_c0e7fa7db25449fd8329899d482227f2 Complete output (204 lines): setup.py:67: RuntimeWarning: NumPy 1.19.3 may not yet support Python 3.10. warnings.warn( Running from numpy source directory. setup.py:480: UserWarning: Unrecognized setuptools command, proceeding with generating Cython sources and expanding templates run_build = parse_setuppy_commands() C:\Users\921479\AppData\Local\Temp\pip-install-65y3hff_\numpy_c0e7fa7db25449fd8329899d482227f2\tools\cythonize.py:67: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives from distutils.version import LooseVersion Processing numpy/random\_bounded_integers.pxd.in Processing numpy/random\bit_generator.pyx Processing numpy/random\mtrand.pyx Processing numpy/random\_bounded_integers.pyx.in Processing numpy/random\_common.pyx Processing numpy/random\_generator.pyx Processing numpy/random\_mt19937.pyx Processing numpy/random\_pcg64.pyx Processing numpy/random\_philox.pyx Processing numpy/random\_sfc64.pyx Cythonizing sources blas_opt_info: blas_mkl_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries mkl_rt not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE blis_info: libraries blis not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_info: libraries openblas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] get_default_fcompiler: matching types: '['gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95', 'intelvem', 'intelem', 'flang']' customize GnuFCompiler Could not locate executable g77 Could not locate executable f77 customize IntelVisualFCompiler Could not locate executable ifort Could not locate executable ifl customize AbsoftFCompiler Could not locate executable f90 customize CompaqVisualFCompiler Could not locate executable DF customize IntelItaniumVisualFCompiler Could not locate executable efl customize Gnu95FCompiler Could not locate executable gfortran Could not locate executable f95 customize G95FCompiler Could not locate executable g95 customize IntelEM64VisualFCompiler customize IntelEM64TFCompiler Could not locate executable efort Could not locate executable efc customize PGroupFlangCompiler Could not locate executable flang don't know how to compile Fortran code on platform 'nt' NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS libraries tatlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_3_10_blas_info: libraries satlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE accelerate_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-65y3hff_\numpy_c0e7fa7db25449fd8329899d482227f2\numpy\distutils\system_info.py:1914: UserWarning: Optimized (vendor) Blas libraries are not found. Falls back to netlib Blas library which has worse performance. A better performance should be easily gained by switching Blas library. if self._calc_info(blas): blas_info: libraries blas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-65y3hff_\numpy_c0e7fa7db25449fd8329899d482227f2\numpy\distutils\system_info.py:1914: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. if self._calc_info(blas): blas_src_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-65y3hff_\numpy_c0e7fa7db25449fd8329899d482227f2\numpy\distutils\system_info.py:1914: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. if self._calc_info(blas): NOT AVAILABLE non-existing path in 'numpy\\distutils': 'site.cfg' lapack_opt_info: lapack_mkl_info: libraries mkl_rt not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_lapack_info: libraries openblas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_clapack_info: libraries openblas,lapack not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE flame_info: libraries flame not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_3_10_threads_info: Setting PTATLAS=ATLAS libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries tatlas,tatlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries tatlas,tatlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries tatlas,tatlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_3_10_threads_info'> NOT AVAILABLE atlas_3_10_info: libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries satlas,satlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries satlas,satlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries satlas,satlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_3_10_info'> NOT AVAILABLE atlas_threads_info: Setting PTATLAS=ATLAS libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries ptf77blas,ptcblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries ptf77blas,ptcblas,atlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries ptf77blas,ptcblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_threads_info'> NOT AVAILABLE atlas_info: libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries f77blas,cblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries f77blas,cblas,atlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries f77blas,cblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_info'> NOT AVAILABLE lapack_info: libraries lapack not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-65y3hff_\numpy_c0e7fa7db25449fd8329899d482227f2\numpy\distutils\system_info.py:1748: UserWarning: Lapack (http://www.netlib.org/lapack/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [lapack]) or by setting the LAPACK environment variable. return getattr(self, '_calc_info_{}'.format(name))() lapack_src_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-65y3hff_\numpy_c0e7fa7db25449fd8329899d482227f2\numpy\distutils\system_info.py:1748: UserWarning: Lapack (http://www.netlib.org/lapack/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [lapack_src]) or by setting the LAPACK_SRC environment variable. return getattr(self, '_calc_info_{}'.format(name))() NOT AVAILABLE numpy_linalg_lapack_lite: FOUND: language = c define_macros = [('HAVE_BLAS_ILP64', None), ('BLAS_SYMBOL_SUFFIX', '64_')] C:\Users\921479\AppData\Local\Programs\Python\Python310\lib\distutils\dist.py:274: UserWarning: Unknown distribution option: 'define_macros' warnings.warn(msg) running dist_info running build_src build_src building py_modules sources creating build creating build\src.win-amd64-3.10 creating build\src.win-amd64-3.10\numpy creating build\src.win-amd64-3.10\numpy\distutils building library "npymath" sources error: Microsoft Visual C++ 14.0 is required. Get it with "Build Tools for Visual Studio": https://visualstudio.microsoft.com/downloads/ ---------------------------------------- WARNING: Discarding https://files.pythonhosted.org/packages/cb/c0/7b3d69e6ee68bc54c97ba51f8c3c3e43ff1dbc7bd97347cc19a1f944e60a/numpy-1.19.3.zip#sha256=35bf5316af8dc7c7db1ad45bec603e5fb28671beb98ebd1d65e8059efcfd3b72 (from https://pypi.org/simple/numpy/) (requires-python:>=3.6). Command errored out with exit status 1: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\tmpsh1m6el8_in_process.py' prepare_metadata_for_build_wheel 'C:\Users\921479\AppData\Local\Temp\tmpdxif4qbd' Check the logs for full command output. ERROR: Could not find a version that satisfies the requirement numpy==1.19.3 (from versions: 1.3.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.10.0.post2, 1.10.1, 1.10.2, 1.10.4, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.12.1, 1.13.0rc1, 1.13.0rc2, 1.13.0, 1.13.1, 1.13.3, 1.14.0rc1, 1.14.0, 1.14.1, 1.14.2, 1.14.3, 1.14.4, 1.14.5, 1.14.6, 1.15.0rc1, 1.15.0rc2, 1.15.0, 1.15.1, 1.15.2, 1.15.3, 1.15.4, 1.16.0rc1, 1.16.0rc2, 1.16.0, 1.16.1, 1.16.2, 1.16.3, 1.16.4, 1.16.5, 1.16.6, 1.17.0rc1, 1.17.0rc2, 1.17.0, 1.17.1, 1.17.2, 1.17.3, 1.17.4, 1.17.5, 1.18.0rc1, 1.18.0, 1.18.1, 1.18.2, 1.18.3, 1.18.4, 1.18.5, 1.19.0rc1, 1.19.0rc2, 1.19.0, 1.19.1, 1.19.2, 1.19.3, 1.19.4, 1.19.5, 1.20.0rc1, 1.20.0rc2, 1.20.0, 1.20.1, 1.20.2, 1.20.3, 1.21.0rc1, 1.21.0rc2, 1.21.0, 1.21.1, 1.21.2, 1.21.3) ERROR: No matching distribution found for numpy==1.19.3 ---------------------------------------- WARNING: Discarding https://files.pythonhosted.org/packages/cf/f7/6c0dd488b5f5f1c0c1a48637df45046334d0be684faaf3536429f14aa9de/pandas-1.3.2.tar.gz#sha256=cbcb84d63867af3411fa063af3de64902665bb5b3d40b25b2059e40603594e87 (from https://pypi.org/simple/pandas/) (requires-python:>=3.7.1). Command errored out with exit status 1: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\pip-standalone-pip-6zfx8nxg\__env_pip__.zip\pip' install --ignore-installed --no-user --prefix 'C:\Users\921479\AppData\Local\Temp\pip-build-env-9tlzccif\overlay' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- 'setuptools>=51.0.0' wheel 'Cython>=0.29.21,<3' 'numpy==1.17.3; python_version=='"'"'3.7'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.18.3; python_version=='"'"'3.8'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.7'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.9'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' Check the logs for full command output. Using cached pandas-1.3.1.tar.gz (4.7 MB) Installing build dependencies ... error ERROR: Command errored out with exit status 1: command: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\pip-standalone-pip-nu8neo3g\__env_pip__.zip\pip' install --ignore-installed --no-user --prefix 'C:\Users\921479\AppData\Local\Temp\pip-build-env-1mcvu0sy\overlay' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- 'setuptools>=38.6.0' wheel 'Cython>=0.29.21,<3' 'numpy==1.17.3; python_version=='"'"'3.7'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.18.3; python_version=='"'"'3.8'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.7'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.9'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' cwd: None Complete output (232 lines): Ignoring numpy: markers 'python_version == "3.7" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.7" and platform_machine == "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and platform_machine == "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and platform_machine == "arm64" and platform_system == "Darwin"' don't match your environment Ignoring numpy: markers 'python_version == "3.9" and platform_machine == "arm64" and platform_system == "Darwin"' don't match your environment Collecting setuptools>=38.6.0 Using cached setuptools-58.3.0-py3-none-any.whl (946 kB) Collecting wheel Using cached wheel-0.37.0-py2.py3-none-any.whl (35 kB) Collecting Cython<3,>=0.29.21 Using cached Cython-0.29.24-py2.py3-none-any.whl (979 kB) Collecting numpy==1.19.3 Using cached numpy-1.19.3.zip (7.3 MB) Installing build dependencies: started Installing build dependencies: finished with status 'done' Getting requirements to build wheel: started Getting requirements to build wheel: finished with status 'done' Preparing metadata (pyproject.toml): started Preparing metadata (pyproject.toml): finished with status 'error' ERROR: Command errored out with exit status 1: command: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\tmpx1aj0vd6_in_process.py' prepare_metadata_for_build_wheel 'C:\Users\921479\AppData\Local\Temp\tmp8ln0mfh0' cwd: C:\Users\921479\AppData\Local\Temp\pip-install-8nzemtl_\numpy_6fc982daf78f48dda61bd967a8235dbc Complete output (204 lines): setup.py:67: RuntimeWarning: NumPy 1.19.3 may not yet support Python 3.10. warnings.warn( Running from numpy source directory. setup.py:480: UserWarning: Unrecognized setuptools command, proceeding with generating Cython sources and expanding templates run_build = parse_setuppy_commands() C:\Users\921479\AppData\Local\Temp\pip-install-8nzemtl_\numpy_6fc982daf78f48dda61bd967a8235dbc\tools\cythonize.py:67: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives from distutils.version import LooseVersion Processing numpy/random\_bounded_integers.pxd.in Processing numpy/random\bit_generator.pyx Processing numpy/random\mtrand.pyx Processing numpy/random\_bounded_integers.pyx.in Processing numpy/random\_common.pyx Processing numpy/random\_generator.pyx Processing numpy/random\_mt19937.pyx Processing numpy/random\_pcg64.pyx Processing numpy/random\_philox.pyx Processing numpy/random\_sfc64.pyx Cythonizing sources blas_opt_info: blas_mkl_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries mkl_rt not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE blis_info: libraries blis not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_info: libraries openblas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] get_default_fcompiler: matching types: '['gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95', 'intelvem', 'intelem', 'flang']' customize GnuFCompiler Could not locate executable g77 Could not locate executable f77 customize IntelVisualFCompiler Could not locate executable ifort Could not locate executable ifl customize AbsoftFCompiler Could not locate executable f90 customize CompaqVisualFCompiler Could not locate executable DF customize IntelItaniumVisualFCompiler Could not locate executable efl customize Gnu95FCompiler Could not locate executable gfortran Could not locate executable f95 customize G95FCompiler Could not locate executable g95 customize IntelEM64VisualFCompiler customize IntelEM64TFCompiler Could not locate executable efort Could not locate executable efc customize PGroupFlangCompiler Could not locate executable flang don't know how to compile Fortran code on platform 'nt' NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS libraries tatlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_3_10_blas_info: libraries satlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE accelerate_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-8nzemtl_\numpy_6fc982daf78f48dda61bd967a8235dbc\numpy\distutils\system_info.py:1914: UserWarning: Optimized (vendor) Blas libraries are not found. Falls back to netlib Blas library which has worse performance. A better performance should be easily gained by switching Blas library. if self._calc_info(blas): blas_info: libraries blas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-8nzemtl_\numpy_6fc982daf78f48dda61bd967a8235dbc\numpy\distutils\system_info.py:1914: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. if self._calc_info(blas): blas_src_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-8nzemtl_\numpy_6fc982daf78f48dda61bd967a8235dbc\numpy\distutils\system_info.py:1914: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. if self._calc_info(blas): NOT AVAILABLE non-existing path in 'numpy\\distutils': 'site.cfg' lapack_opt_info: lapack_mkl_info: libraries mkl_rt not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_lapack_info: libraries openblas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_clapack_info: libraries openblas,lapack not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE flame_info: libraries flame not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_3_10_threads_info: Setting PTATLAS=ATLAS libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries tatlas,tatlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries tatlas,tatlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries tatlas,tatlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_3_10_threads_info'> NOT AVAILABLE atlas_3_10_info: libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries satlas,satlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries satlas,satlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries satlas,satlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_3_10_info'> NOT AVAILABLE atlas_threads_info: Setting PTATLAS=ATLAS libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries ptf77blas,ptcblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries ptf77blas,ptcblas,atlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries ptf77blas,ptcblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_threads_info'> NOT AVAILABLE atlas_info: libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries f77blas,cblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries f77blas,cblas,atlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries f77blas,cblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_info'> NOT AVAILABLE lapack_info: libraries lapack not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-8nzemtl_\numpy_6fc982daf78f48dda61bd967a8235dbc\numpy\distutils\system_info.py:1748: UserWarning: Lapack (http://www.netlib.org/lapack/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [lapack]) or by setting the LAPACK environment variable. return getattr(self, '_calc_info_{}'.format(name))() lapack_src_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-8nzemtl_\numpy_6fc982daf78f48dda61bd967a8235dbc\numpy\distutils\system_info.py:1748: UserWarning: Lapack (http://www.netlib.org/lapack/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [lapack_src]) or by setting the LAPACK_SRC environment variable. return getattr(self, '_calc_info_{}'.format(name))() NOT AVAILABLE numpy_linalg_lapack_lite: FOUND: language = c define_macros = [('HAVE_BLAS_ILP64', None), ('BLAS_SYMBOL_SUFFIX', '64_')] C:\Users\921479\AppData\Local\Programs\Python\Python310\lib\distutils\dist.py:274: UserWarning: Unknown distribution option: 'define_macros' warnings.warn(msg) running dist_info running build_src build_src building py_modules sources creating build creating build\src.win-amd64-3.10 creating build\src.win-amd64-3.10\numpy creating build\src.win-amd64-3.10\numpy\distutils building library "npymath" sources error: Microsoft Visual C++ 14.0 is required. Get it with "Build Tools for Visual Studio": https://visualstudio.microsoft.com/downloads/ ---------------------------------------- WARNING: Discarding https://files.pythonhosted.org/packages/cb/c0/7b3d69e6ee68bc54c97ba51f8c3c3e43ff1dbc7bd97347cc19a1f944e60a/numpy-1.19.3.zip#sha256=35bf5316af8dc7c7db1ad45bec603e5fb28671beb98ebd1d65e8059efcfd3b72 (from https://pypi.org/simple/numpy/) (requires-python:>=3.6). Command errored out with exit status 1: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\tmpx1aj0vd6_in_process.py' prepare_metadata_for_build_wheel 'C:\Users\921479\AppData\Local\Temp\tmp8ln0mfh0' Check the logs for full command output. ERROR: Could not find a version that satisfies the requirement numpy==1.19.3 (from versions: 1.3.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.10.0.post2, 1.10.1, 1.10.2, 1.10.4, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.12.1, 1.13.0rc1, 1.13.0rc2, 1.13.0, 1.13.1, 1.13.3, 1.14.0rc1, 1.14.0, 1.14.1, 1.14.2, 1.14.3, 1.14.4, 1.14.5, 1.14.6, 1.15.0rc1, 1.15.0rc2, 1.15.0, 1.15.1, 1.15.2, 1.15.3, 1.15.4, 1.16.0rc1, 1.16.0rc2, 1.16.0, 1.16.1, 1.16.2, 1.16.3, 1.16.4, 1.16.5, 1.16.6, 1.17.0rc1, 1.17.0rc2, 1.17.0, 1.17.1, 1.17.2, 1.17.3, 1.17.4, 1.17.5, 1.18.0rc1, 1.18.0, 1.18.1, 1.18.2, 1.18.3, 1.18.4, 1.18.5, 1.19.0rc1, 1.19.0rc2, 1.19.0, 1.19.1, 1.19.2, 1.19.3, 1.19.4, 1.19.5, 1.20.0rc1, 1.20.0rc2, 1.20.0, 1.20.1, 1.20.2, 1.20.3, 1.21.0rc1, 1.21.0rc2, 1.21.0, 1.21.1, 1.21.2, 1.21.3) ERROR: No matching distribution found for numpy==1.19.3 ---------------------------------------- WARNING: Discarding https://files.pythonhosted.org/packages/12/01/360d7f444f910ae16496c07e3f003cb8c641b4ca6c033408a4469a904df3/pandas-1.3.1.tar.gz#sha256=341935a594db24f3ff07d1b34d1d231786aa9adfa84b76eab10bf42907c8aed3 (from https://pypi.org/simple/pandas/) (requires-python:>=3.7.1). Command errored out with exit status 1: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\pip-standalone-pip-nu8neo3g\__env_pip__.zip\pip' install --ignore-installed --no-user --prefix 'C:\Users\921479\AppData\Local\Temp\pip-build-env-1mcvu0sy\overlay' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- 'setuptools>=38.6.0' wheel 'Cython>=0.29.21,<3' 'numpy==1.17.3; python_version=='"'"'3.7'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.18.3; python_version=='"'"'3.8'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.7'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.9'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' Check the logs for full command output. Using cached pandas-1.3.0.tar.gz (4.7 MB) Installing build dependencies ... error ERROR: Command errored out with exit status 1: command: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\pip-standalone-pip-d1g2tmj9\__env_pip__.zip\pip' install --ignore-installed --no-user --prefix 'C:\Users\921479\AppData\Local\Temp\pip-build-env-xiih8tml\overlay' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- 'setuptools>=38.6.0' wheel 'Cython>=0.29.21,<3' 'numpy==1.17.3; python_version=='"'"'3.7'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.18.3; python_version=='"'"'3.8'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.7'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.9'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' cwd: None Complete output (232 lines): Ignoring numpy: markers 'python_version == "3.7" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.7" and platform_machine == "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and platform_machine == "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and platform_machine == "arm64" and platform_system == "Darwin"' don't match your environment Ignoring numpy: markers 'python_version == "3.9" and platform_machine == "arm64" and platform_system == "Darwin"' don't match your environment Collecting setuptools>=38.6.0 Using cached setuptools-58.3.0-py3-none-any.whl (946 kB) Collecting wheel Using cached wheel-0.37.0-py2.py3-none-any.whl (35 kB) Collecting Cython<3,>=0.29.21 Using cached Cython-0.29.24-py2.py3-none-any.whl (979 kB) Collecting numpy==1.19.3 Using cached numpy-1.19.3.zip (7.3 MB) Installing build dependencies: started Installing build dependencies: finished with status 'done' Getting requirements to build wheel: started Getting requirements to build wheel: finished with status 'done' Preparing metadata (pyproject.toml): started Preparing metadata (pyproject.toml): finished with status 'error' ERROR: Command errored out with exit status 1: command: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\tmpwf096qa__in_process.py' prepare_metadata_for_build_wheel 'C:\Users\921479\AppData\Local\Temp\tmpr_if9ioq' cwd: C:\Users\921479\AppData\Local\Temp\pip-install-yyjextkg\numpy_6165a234ed6a47fa8baa7cb3918386a3 Complete output (204 lines): setup.py:67: RuntimeWarning: NumPy 1.19.3 may not yet support Python 3.10. warnings.warn( Running from numpy source directory. setup.py:480: UserWarning: Unrecognized setuptools command, proceeding with generating Cython sources and expanding templates run_build = parse_setuppy_commands() C:\Users\921479\AppData\Local\Temp\pip-install-yyjextkg\numpy_6165a234ed6a47fa8baa7cb3918386a3\tools\cythonize.py:67: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives from distutils.version import LooseVersion Processing numpy/random\_bounded_integers.pxd.in Processing numpy/random\bit_generator.pyx Processing numpy/random\mtrand.pyx Processing numpy/random\_bounded_integers.pyx.in Processing numpy/random\_common.pyx Processing numpy/random\_generator.pyx Processing numpy/random\_mt19937.pyx Processing numpy/random\_pcg64.pyx Processing numpy/random\_philox.pyx Processing numpy/random\_sfc64.pyx Cythonizing sources blas_opt_info: blas_mkl_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries mkl_rt not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE blis_info: libraries blis not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_info: libraries openblas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] get_default_fcompiler: matching types: '['gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95', 'intelvem', 'intelem', 'flang']' customize GnuFCompiler Could not locate executable g77 Could not locate executable f77 customize IntelVisualFCompiler Could not locate executable ifort Could not locate executable ifl customize AbsoftFCompiler Could not locate executable f90 customize CompaqVisualFCompiler Could not locate executable DF customize IntelItaniumVisualFCompiler Could not locate executable efl customize Gnu95FCompiler Could not locate executable gfortran Could not locate executable f95 customize G95FCompiler Could not locate executable g95 customize IntelEM64VisualFCompiler customize IntelEM64TFCompiler Could not locate executable efort Could not locate executable efc customize PGroupFlangCompiler Could not locate executable flang don't know how to compile Fortran code on platform 'nt' NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS libraries tatlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_3_10_blas_info: libraries satlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE accelerate_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-yyjextkg\numpy_6165a234ed6a47fa8baa7cb3918386a3\numpy\distutils\system_info.py:1914: UserWarning: Optimized (vendor) Blas libraries are not found. Falls back to netlib Blas library which has worse performance. A better performance should be easily gained by switching Blas library. if self._calc_info(blas): blas_info: libraries blas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-yyjextkg\numpy_6165a234ed6a47fa8baa7cb3918386a3\numpy\distutils\system_info.py:1914: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. if self._calc_info(blas): blas_src_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-yyjextkg\numpy_6165a234ed6a47fa8baa7cb3918386a3\numpy\distutils\system_info.py:1914: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. if self._calc_info(blas): NOT AVAILABLE non-existing path in 'numpy\\distutils': 'site.cfg' lapack_opt_info: lapack_mkl_info: libraries mkl_rt not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_lapack_info: libraries openblas not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE openblas_clapack_info: libraries openblas,lapack not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE flame_info: libraries flame not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE atlas_3_10_threads_info: Setting PTATLAS=ATLAS libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries tatlas,tatlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries tatlas,tatlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries tatlas,tatlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_3_10_threads_info'> NOT AVAILABLE atlas_3_10_info: libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries satlas,satlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries satlas,satlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries satlas,satlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_3_10_info'> NOT AVAILABLE atlas_threads_info: Setting PTATLAS=ATLAS libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries ptf77blas,ptcblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries ptf77blas,ptcblas,atlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries ptf77blas,ptcblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_threads_info'> NOT AVAILABLE atlas_info: libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries f77blas,cblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\lib libraries lapack_atlas not found in C:\ libraries f77blas,cblas,atlas not found in C:\ libraries lapack_atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs libraries f77blas,cblas,atlas not found in C:\Users\921479\AppData\Local\Programs\Python\Python310\libs <class 'numpy.distutils.system_info.atlas_info'> NOT AVAILABLE lapack_info: libraries lapack not found in ['C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\lib', 'C:\\', 'C:\\Users\\921479\\AppData\\Local\\Programs\\Python\\Python310\\libs'] NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-yyjextkg\numpy_6165a234ed6a47fa8baa7cb3918386a3\numpy\distutils\system_info.py:1748: UserWarning: Lapack (http://www.netlib.org/lapack/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [lapack]) or by setting the LAPACK environment variable. return getattr(self, '_calc_info_{}'.format(name))() lapack_src_info: NOT AVAILABLE C:\Users\921479\AppData\Local\Temp\pip-install-yyjextkg\numpy_6165a234ed6a47fa8baa7cb3918386a3\numpy\distutils\system_info.py:1748: UserWarning: Lapack (http://www.netlib.org/lapack/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [lapack_src]) or by setting the LAPACK_SRC environment variable. return getattr(self, '_calc_info_{}'.format(name))() NOT AVAILABLE numpy_linalg_lapack_lite: FOUND: language = c define_macros = [('HAVE_BLAS_ILP64', None), ('BLAS_SYMBOL_SUFFIX', '64_')] C:\Users\921479\AppData\Local\Programs\Python\Python310\lib\distutils\dist.py:274: UserWarning: Unknown distribution option: 'define_macros' warnings.warn(msg) running dist_info running build_src build_src building py_modules sources creating build creating build\src.win-amd64-3.10 creating build\src.win-amd64-3.10\numpy creating build\src.win-amd64-3.10\numpy\distutils building library "npymath" sources error: Microsoft Visual C++ 14.0 is required. Get it with "Build Tools for Visual Studio": https://visualstudio.microsoft.com/downloads/ ---------------------------------------- WARNING: Discarding https://files.pythonhosted.org/packages/cb/c0/7b3d69e6ee68bc54c97ba51f8c3c3e43ff1dbc7bd97347cc19a1f944e60a/numpy-1.19.3.zip#sha256=35bf5316af8dc7c7db1ad45bec603e5fb28671beb98ebd1d65e8059efcfd3b72 (from https://pypi.org/simple/numpy/) (requires-python:>=3.6). Command errored out with exit status 1: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\tmpwf096qa__in_process.py' prepare_metadata_for_build_wheel 'C:\Users\921479\AppData\Local\Temp\tmpr_if9ioq' Check the logs for full command output. ERROR: Could not find a version that satisfies the requirement numpy==1.19.3 (from versions: 1.3.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.10.0.post2, 1.10.1, 1.10.2, 1.10.4, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.12.1, 1.13.0rc1, 1.13.0rc2, 1.13.0, 1.13.1, 1.13.3, 1.14.0rc1, 1.14.0, 1.14.1, 1.14.2, 1.14.3, 1.14.4, 1.14.5, 1.14.6, 1.15.0rc1, 1.15.0rc2, 1.15.0, 1.15.1, 1.15.2, 1.15.3, 1.15.4, 1.16.0rc1, 1.16.0rc2, 1.16.0, 1.16.1, 1.16.2, 1.16.3, 1.16.4, 1.16.5, 1.16.6, 1.17.0rc1, 1.17.0rc2, 1.17.0, 1.17.1, 1.17.2, 1.17.3, 1.17.4, 1.17.5, 1.18.0rc1, 1.18.0, 1.18.1, 1.18.2, 1.18.3, 1.18.4, 1.18.5, 1.19.0rc1, 1.19.0rc2, 1.19.0, 1.19.1, 1.19.2, 1.19.3, 1.19.4, 1.19.5, 1.20.0rc1, 1.20.0rc2, 1.20.0, 1.20.1, 1.20.2, 1.20.3, 1.21.0rc1, 1.21.0rc2, 1.21.0, 1.21.1, 1.21.2, 1.21.3) ERROR: No matching distribution found for numpy==1.19.3 ---------------------------------------- WARNING: Discarding https://files.pythonhosted.org/packages/53/05/bf382e8bc60731906a2e7261648bcea3a6b309ad2b9952010737a1b9413e/pandas-1.3.0.tar.gz#sha256=c554e6c9cf2d5ea1aba5979cc837b3649539ced0e18ece186f055450c86622e2 (from https://pypi.org/simple/pandas/) (requires-python:>=3.7.1). Command errored out with exit status 1: 'C:\Users\921479\AppData\Local\Programs\Python\Python310\python.exe' 'C:\Users\921479\AppData\Local\Temp\pip-standalone-pip-d1g2tmj9\__env_pip__.zip\pip' install --ignore-installed --no-user --prefix 'C:\Users\921479\AppData\Local\Temp\pip-build-env-xiih8tml\overlay' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- 'setuptools>=38.6.0' wheel 'Cython>=0.29.21,<3' 'numpy==1.17.3; python_version=='"'"'3.7'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.18.3; python_version=='"'"'3.8'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"' and (platform_machine!='"'"'arm64'"'"' or platform_system!='"'"'Darwin'"'"') and platform_machine!='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.7'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy==1.19.2; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'aarch64'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.8'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' 'numpy>=1.20.0; python_version=='"'"'3.9'"'"' and platform_machine=='"'"'arm64'"'"' and platform_system=='"'"'Darwin'"'"'' Check the logs for full command output. Using cached pandas-1.2.5.tar.gz (5.5 MB) Installing build dependencies ... done Getting requirements to build wheel ... - ```

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PR_kwDOAA0YD84tlYeT

IO ExcelFile New Method

closed

NONE

…frame access - [ ] closes #xxxx - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew Added method to ExcelFile class to read all the sheets. This allows the users to access a dictionary of all pd.DataFrames using the .sheets() method and access them more easily. Before, you would need to then call a pd.read_excel(ExcelFile, sheet_name) to access the data in that sheet.

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PR_kwDOAA0YD84tlbnx

TST: Move remaining ewm tests to window/

closed

MEMBER

- [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them Since some tests are not running on windows/moments (#37535), moving the remaining tests to test_ewm.py

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I_kwDOAA0YD849plHP

DOC: var and std missing examples

closed

NONE

### - [X] I have checked that the issue still exists on the latest versions of the docs on `master` [here](https://pandas.pydata.org/docs/dev/) ### Location of the documentation https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.var.html https://pandas.pydata.org/docs/dev/reference/api/pandas.DataFrame.std.html  ### Documentation problem In all other APIs in DataFrame at least one example is given for better understanding. I believe, function description is also available in notebooks but not any example. It's good to have one example for mentioned APIs. ### Suggested fix for documentation Fix: Use of atleast one example for better undertanding of function. It's better because function description along with example creates clarity of its use and implimentation.

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PR_kwDOAA0YD84tlc-v

TST: Move some consistency expanding tests to test_expanding

closed

MEMBER

- [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them Since some tests are not running on windows/moments (#37535), moving the "consistency" expanding tests to `test_expanding.py`

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PR_kwDOAA0YD84tldte

TST: Move some consistency rolling tests to misc rolling functions

closed

MEMBER

- [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them Since some tests are not running on windows/moments (#37535), moving the "consistency" rolling tests to the relevant files.

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PR_kwDOAA0YD84tl2Vx

TST: Adding tests for checking Boolean series and df as indexes for series

closed

CONTRIBUTOR

- [ ] closes #18579 - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] After discussion in #18579 the current tests were suggested

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PR_kwDOAA0YD84tl4p3

BUG: metadata propagation in .loc, .iloc and Series.to_frame()

open

CONTRIBUTOR

- [x] ~~closes~~ Incremental progress on #28283 - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [x] whatsnew entry

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PR_kwDOAA0YD84tl49e

Added two examples to documentation of DataFrame.std

closed

CONTRIBUTOR

- [x] closes part of #44162 Added two examples to the documentation of DataFrame.std function so that users can understand how to use it with different delta degrees of freedom.

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I_kwDOAA0YD849qV9Q

ENH pd.ExcelFile new method to read all sheets

open

NONE

#### Is your feature request related to a problem? pd.ExcelFile lists the sheet names but does not read the book on instantiation. This is not a problem but makes front-end code necessary to access this information longer than it needs to be. Current way to access a sheet: file = pd.ExcelFile("./foo.xlsx") pd.read_excel(file, sheet_name) #### Describe the solution you'd like I would like pd.ExcelFile to either have a new method or attribute that reads all sheets as data frames on call or to read all sheets on instantiation and be available as a property. #### API breaking implications This would add a new method or attribute to an existing class. #### Describe alternatives you've considered Alternatives include putting this functionality on the front-end user to implement. However, since this seems to fit as a core functionality, I request that it is added to the source code. #### Additional context Current way to read all sheets: file = pd.ExcelFile("./foo.xlsx") dfs = {sheet: pd.read_excel(file, sheet) for sheet in file.sheet_names} ```python def sheets(self): return {sheet: read_excel(self._io, sheet) for sheet in self._read.sheet_names} ```

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PR_kwDOAA0YD84tmCNV

WEB: Update institutional sponsors list

closed

MEMBER

Makes the lists consistent with the governance docs and adds d-fine cc @MarcoGorelli Would you like to add gousto too?

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PR_kwDOAA0YD84tmD9d

REF: share ExtensionIndex.insert-> Index.insert

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PR_kwDOAA0YD84tmE8f

TST: Move a consistency ewm test to test_ewm.py

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I_kwDOAA0YD849qc83

PERF: `apply` on `boolean`-dtype DataFrame is exceedingly slow

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### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this issue exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this issue exists on the master branch of pandas. ### Reproducible Example ```python3 from timeit import timeit import pandas as pd # Create a dummy DataFrame of bools and null values. df = pd.DataFrame([[True, False, pd.NA] * 200] * 200, dtype = "object") # This runs very slowly! print(timeit(lambda: df.astype("boolean").apply(lambda row: row.count(), axis = 1), number = 10)) # 112s # (As can be easily seen, this is due partly to the `astype` on the entire DataFrame, but mainly to the subsequent `apply` being particularly slow for a boolean-dtype DataFrame). print(timeit(lambda: df.astype("boolean"), number = 10)) # 3.98s # This *equivalent* statement runs fast. There seems to be no good reason why the call to `apply` in the previous statement (overall equivalent) must be so slow. print(timeit(lambda: df.apply(lambda row: row.astype("boolean").count(), axis = 1), number = 10)) # 0.95s ``` There is no problem using the first method in some cases, but it is inconvenient in other situations to cast back and forth between object-dtype and boolean-dtype just to make `apply` efficient. ### Installed Versions <details> commit : aced6eedf90f3fdb0e658f33ac89c13fad62b06e python : 3.9.7.final.0 python-bits : 64 OS : Darwin OS-release : 20.6.0 Version : Darwin Kernel Version 20.6.0: Wed Jun 23 00:26:31 PDT 2021; root:xnu-7195.141.2~5/RELEASE_X86_64 machine : x86_64 processor : i386 byteorder : little LC_ALL : None LANG : en_GB.UTF-8 LOCALE : en_GB.UTF-8 pandas : 1.4.0.dev0+970.gaced6eedf9 numpy : 1.20.2 pytz : 2021.3 dateutil : 2.8.2 pip : 21.3.1 setuptools : 58.2.0 Cython : 0.29.24 pytest : 6.2.5 hypothesis : 6.23.4 sphinx : 4.2.0 blosc : 1.10.6 feather : None xlsxwriter : None lxml.etree : 4.6.3 html5lib : 1.1 pymysql : None psycopg2 : None jinja2 : 3.0.2 IPython : None pandas_datareader: 0.10.0 bs4 : 4.10.0 bottleneck : None fsspec : 2021.10.1 fastparquet : None gcsfs : None matplotlib : 3.4.3 numexpr : None odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : 5.0.0 pyxlsb : None s3fs : 2021.10.1 scipy : 1.7.1 sqlalchemy : None tables : None tabulate : 0.8.9 xarray : 0.19.0 xlrd : 2.0.1 xlwt : 1.3.0 numba : 0.54.1 </details> ### Prior Performance Not applicable.

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I_kwDOAA0YD849qdnV

CI: 310-dev build seems to be timing out

closed

CONTRIBUTOR

xref https://github.com/pandas-dev/pandas/runs/3990827693?check_suite_focus=true not sure where this changed recently or a numpy issue.

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PR_kwDOAA0YD84tmLoo

CLN/TST: address TODOs/FIXMES #2

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PR_kwDOAA0YD84tmVAt

TST: tests using invalid_scalar fixture

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PR_kwDOAA0YD84tmiwd

PERF: Improve performance in rolling.mean(engine=numba)

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- [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [x] whatsnew entry This also starts to add a shared aggregation function (sum) that can shared between rolling/groupby/DataFrame when using the numba engine. ``` df = pd.DataFrame(np.ones((10000, 1000))) roll = df.rolling(10) roll.sum(engine="numba", engine_kwargs={"nopython": True, "nogil": True, "parallel": True}) %timeit roll.sum(engine="numba", engine_kwargs={"nopython": True, "nogil": True, "parallel": True}) 211 ms ± 12.2 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) <- PR 424 ms ± 9.23 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) <- master ```

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PR_kwDOAA0YD84tnuS-

ENH: Use yaml anchors for pre-commit hooks additional dependencies

closed

CONTRIBUTOR

- [x] closes #43282 - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry This PR adds: - use of yaml anchors for the `flake8` and `yesqa` hooks - updates to `scripts/sync_flake8_versions.py` since now both `yesqa` and `flake8` hooks have the same additional dependencies declared through a reusable anchor there is no need to check for sync between these two PD. I am not sure this needs a `whatsnew` entry so I did not add it - unless y'all think there should be one

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I_kwDOAA0YD849sqR5

BUG: behaviour of skipna=None changed on master

open

CONTRIBUTOR

### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd import numpy as np pd.Series([1.7, 0.5, np.nan]).sum(skipna=None) ``` ### Issue Description In pandas 1.3.4 the example returns `2.2` on nightly it returns `nan`. This lead to a test failure in xarray (we use pandas to double check a result - so we get a wrong `expected` value & could fix this but I still think this should not change silently). ### Expected Behavior I think this should still return 2.2 or raise a deprecation warning or an error. ### Installed Versions pandas was installed from scipy-wheels-nightly: ```bash python -m pip install -i https://pypi.anaconda.org/scipy-wheels-nightly/simple --no-deps --pre --upgrade --force-reinstall pandas ``` <details> INSTALLED VERSIONS ------------------ commit : 9018d327defbe4d397eadc342e489e79bbc14b71 python : 3.9.7.final.0 python-bits : 64 OS : Linux OS-release : 5.11.0-38-generic Version : #42~20.04.1-Ubuntu SMP Tue Sep 28 20:41:07 UTC 2021 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.4.0.dev0+972.g9018d327de numpy : 1.20.3 pytz : 2021.3 dateutil : 2.8.2 pip : 21.3.1 setuptools : 58.2.0 Cython : None pytest : 6.2.5 hypothesis : 6.24.0 sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : 4.6.3 html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.2 IPython : 7.28.0 pandas_datareader: None bs4 : 4.10.0 bottleneck : 1.3.2 fsspec : 2021.10.1 fastparquet : None gcsfs : None matplotlib : 3.4.3 numexpr : 2.7.3 odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pyxlsb : None s3fs : None scipy : 1.7.1 sqlalchemy : None tables : None tabulate : None xarray : 0.19.1.dev89+gfdabf3be xlrd : None xlwt : None numba : 0.54.1 </details>

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I_kwDOAA0YD849srTe

BUG: Should be able to group by a categorical Series of unequal length

open

NONE

### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd series = pd.Series(range(7)) grouper = pd.Series(list("ABBA"), dtype="category") series.groupby(grouper) # Raises ValueError: Length of grouper (4) and axis (7) must be same length ``` ### Issue Description When grouping by a `Series`, the values of the series after alignment determine the groups. In the example, however, pandas does not attempt to align the series and instead unnecessarily wants it to have the same length as the axis of grouping. ### Expected Behavior I expect `obj.groupby(grouper)`, where `grouper` is a `Series` with a categorical data type, to allow the grouper to have unequal length and to align it, as in the following where the grouper has a non-categorical data type: ```python series.groupby(grouper.astype(object)).groups # Returns {'A': [0, 3], 'B': [1, 2]} ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 9b2bb732f09d8e870d806b337b97d3d99fd5b118 python : 3.8.12.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.17134 machine : AMD64 processor : Intel64 Family 6 Model 94 Stepping 3, GenuineIntel byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : English_United States.1252 pandas : 1.4.0.dev0+952.g9b2bb732f0 numpy : 1.21.2 pytz : 2021.1 dateutil : 2.8.2 pip : 21.2.4 setuptools : 58.0.4 Cython : 0.29.24 pytest : 6.2.5 hypothesis : 6.23.1 sphinx : 4.2.0 blosc : None feather : None xlsxwriter : 3.0.1 lxml.etree : 4.6.3 html5lib : 1.1 pymysql : None psycopg2 : None jinja2 : 3.0.1 IPython : 7.28.0 pandas_datareader: None bs4 : 4.10.0 bottleneck : 1.3.2 fsspec : 2021.10.0 fastparquet : 0.7.1 gcsfs : 2021.10.0 matplotlib : 3.4.3 numexpr : 2.7.3 odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : 5.0.0 pyxlsb : None s3fs : 2021.10.0 scipy : 1.7.1 sqlalchemy : 1.4.25 tables : 3.6.1 tabulate : 0.8.9 xarray : 0.18.2 xlrd : 2.0.1 xlwt : 1.3.0 numba : 0.53.1 </details>

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PR_kwDOAA0YD84toO9A

Group by a categorical Series of unequal length

open

NONE

- [X] closes #44179 - [X] tests added / passed - [X] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [X] whatsnew entry While this fix enables grouping by a `Series` that has a categorical data type and length unequal to the axis of grouping, it maintains the requirement (developed in #3017, #9741, and #18525) that the length of a `Categorical` object used for grouping must match that of the axis of grouping. Additionally, this fix checks that requirement consistently with other groupers whose lengths must match—namely `list`, `tuple`, `Index`, and `numpy.ndarray`—and produces the same exception message when the lengths differ.

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I_kwDOAA0YD849tIkl

BUG: Conflict with DataFrame.where and Interval via data replacement

open

NONE

### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd df = pd.DataFrame([pd.Interval(0,0)]) df.where(df.notnull()) ``` ### Issue Description Data replacement using `DataFrame.where` raises `ValueError: Cannot set float NaN to integer-backed IntervalArray`, when the dataframe instance contains one or multiple columns of `dtype: interval`. ### Expected Behavior Data replacement and `dtype` conversion as per usual, i.e. in this case no replacement or column `dtype` conversion should be done, and the original `DataFrame` should be returned. ```python expected = df ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 73c68257545b5f8530b7044f56647bd2db92e2ba python : 3.8.10.final.0 python-bits : 64 OS : Linux OS-release : 3.10.0-1160.15.2.el7.x86_64 Version : #1 SMP Thu Jan 21 16:15:07 EST 2021 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : en_US.UTF-8 LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.3.3 numpy : 1.21.2 pytz : 2021.1 dateutil : 2.8.2 pip : 20.0.2 setuptools : 44.0.0 Cython : None pytest : 6.2.5 hypothesis : None show more (open the raw output data in a text editor) ... tabulate : None xarray : None xlrd : None xlwt : None numba : None </details>

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PR_kwDOAA0YD84to-am

BUG: np.timedelta64 + Period

closed

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PR_kwDOAA0YD84tpxQs

CI: debug 310 dev

closed

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xref #44173

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I_kwDOAA0YD849u9ba

BUG: Multiple Styler.format calls not working

closed

CONTRIBUTOR

### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [ ] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd df = pd.DataFrame({'a': [1, 2.5, 3, 5.7], 'b': [1.11, -2.7, -5.9, 10]}) def color_cell(cell): if float(cell) > 0: return "color: #4472c4" if float(cell) < 0: return "color: #ff0000" df = df.style.applymap(color_cell, subset=["a", "b"]) df = df.format({"a": "{:.2%}"}) df df = df.format({"b": "{:.2f}"}) df ``` ### Issue Description Multiple `.format` assignments are not applying to every column it gets called. Prior to version 1.3.x (I've tested in 1.2.3), it had the expected behaviour described below and since I could not find this change in the release notes I am opening this issue.  ### Expected Behavior I would expect that multiple `.format` calls worked the same as calling one `.format` with just one dictionary:  ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5 python : 3.9.5.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.19042 machine : AMD64 processor : Intel64 Family 6 Model 142 Stepping 11, GenuineIntel byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : English_United States.1252 pandas : 1.3.4 numpy : 1.20.3 pytz : 2021.1 dateutil : 2.8.1 pip : 21.1.1 setuptools : 56.0.0 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : 4.6.3 html5lib : 1.1 pymysql : None psycopg2 : 2.9.1 (dt dec pq3 ext lo64) jinja2 : 3.0.1 IPython : 7.23.1 pandas_datareader: 0.9.0 bs4 : 4.9.3 bottleneck : None fsspec : 2021.06.0 fastparquet : None gcsfs : None matplotlib : 3.4.2 numexpr : None odfpy : None openpyxl : 3.0.8 pandas_gbq : None pyarrow : None pyxlsb : None s3fs : None scipy : 1.6.3 sqlalchemy : 1.4.22 tables : None tabulate : 0.8.9 xarray : None xlrd : None xlwt : None numba : None </details>

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PR_kwDOAA0YD84tqBBu

ENH: added regex argument to Series.str.split

closed

CONTRIBUTOR

- [X] closes #43563 - [X] closes #32835 - [X] closes #25549 - [X] xref #37963 - [X] tests added / passed - [X] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [X] whatsnew entry I've preserved current behavior, in which regex = None. Currently, it handles the pattern as a regex if the length of pattern is not 1. I believe that in the future, this may be worth considering deprecating.

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PR_kwDOAA0YD84tqHsm

PERF: improve efficiency of `BaseMaskedArray.__setitem__`

open

CONTRIBUTOR

This somewhat deals with #44172, though that won't be fully resolved until 2D `ExtensionArray`s are supported (per the comments there). CC @jbrockmendel - [ ] closes #xxxx - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry

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PR_kwDOAA0YD84tqO-u

ENH: implement EA._where

closed

MEMBER

The goal here is to avoid special-casing in ExtensionBlock.where

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I_kwDOAA0YD849wNAv

BUG: .resample(...).sum() incorrect result for time intervals for missing and NaN data

open

NONE

#### Is your feature request related to a problem? No. #### Describe the solution you'd like I'm using `pd.DataFrame.resample` for stats. There's a piece of data, and I'd like to be able to count the totals by time interval. However, I note that if there is no data or the data is `NaN` in a certain time period, the total value of the time period will be `0`, which is not my expectation because I am **confused** as to whether there is data in this interval. ```shell >>> import pandas as pd >>> index = pd.date_range('1/1/2000', periods=5, freq='T') >>> series = pd.Series(1, index=index) >>> series.pop('2000-01-01 00:01:00') >>> series['2000-01-01 00:03:00'] = None >>> print(series.resample('T').sum()) 2000-01-01 00:00:00 1.0 2000-01-01 00:01:00 0.0 2000-01-01 00:02:00 1.0 2000-01-01 00:03:00 0.0 2000-01-01 00:04:00 1.0 Freq: T, dtype: float64 ``` Is it possible to exclude time intervals for missing data from the statistical results or to present them as `NaN`? As follows: exclude : ```shell 2000-01-01 00:00:00 1.0 2000-01-01 00:02:00 1.0 2000-01-01 00:04:00 1.0 Freq: T, dtype: float64 ``` or present as `NaN`: ```shell 2000-01-01 00:00:00 1.0 2000-01-01 00:01:00 NaN 2000-01-01 00:02:00 1.0 2000-01-01 00:03:00 NaN 2000-01-01 00:04:00 1.0 Freq: T, dtype: float64 ``` #### API breaking implications This will change how a Resampler behaves when it encounters the sum method.

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PR_kwDOAA0YD84trN1T

:white_check_mark: TST: Update sync flake8 tests

closed

CONTRIBUTOR

- [x] related to #44177 - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them I sent a PR yesterday #44177 which was aimed at adding anchors to the `pre-commit-config.yaml` file However, somehow I forgot to also update the corresponding test so this PR should remove the references to `yesqa` dependencies checks

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I_kwDOAA0YD849wvT0

BUG: .equals method returns true when comparing floats with dtype object to None

closed

NONE

### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import numpy as np import pandas as pd left = pd.Series([-np.inf, np.nan, -1.0, 0.0, 1.0, 10 / 3, np.inf], dtype=object) right = pd.Series([None] * len(left)) print(pd.DataFrame(dict(left=left, right=right))) print(f"{left.equals(right)=}") print(f"{right.equals(left)=}") ``` ### Issue Description If one constructs a Series `left` containing floating-point data, but declared as dtype `object`, and another Series `right` of the same length, containing only `None`, then `left.equals.right` returns `True`, even though the two series are demonstrably not equal. Making the comparison the other way round (i.e. `right.equals(right)`) returns `False` as is semantically correct. Some preliminary testing brings up the following conditions for the bug to occur: - `left` can consist of any combination of float values - including `+/-inf`, `NaN`, and both integral and fractional floats - If `left` contains values of any other type, the `.equals` call will correctly return `False` - this includes ints and `None` itself - The bug seems to occur with DataFrames as well - calling `.to_frame()` on both sides before calling `.equals()` has the same results. - The bug seems to have been introduced in pandas 1.3.0. I have observed it to occur in 1.3.0 and 1.3.4, and it does not occur on 1.2.5. - The bug occurs in both WSL and (ARM) macOS environments - I haven't tested on other platforms. ### Expected Behavior `left.equals(right)` should return `False`. ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5 python : 3.9.7.final.0 python-bits : 64 OS : Linux OS-release : 4.4.0-19041-Microsoft Version : #1237-Microsoft Sat Sep 11 14:32:00 PST 2021 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : C.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.3.4 numpy : 1.21.3 pytz : 2021.3 dateutil : 2.8.2 pip : 20.3.4 setuptools : 58.2.0 Cython : 0.29.24 pytest : 6.2.5 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : 4.6.3 html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.2 IPython : 7.28.0 pandas_datareader: None bs4 : None bottleneck : None fsspec : None fastparquet : None gcsfs : None matplotlib : 3.4.3 numexpr : 2.7.3 odfpy : None openpyxl : None pandas_gbq : None pyarrow : 5.0.0 pyxlsb : None s3fs : None scipy : 1.7.1 sqlalchemy : 1.3.24 tables : None tabulate : None xarray : None xlrd : None xlwt : None numba : None </details>

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PR_kwDOAA0YD84trzEK

Update generic.py, explanatory text of describe

closed

CONTRIBUTOR

Usage of correct parameter ``exclude`` in description of ``exclude``-parameter of ``describe()``-function

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PR_kwDOAA0YD84tscBW

PERF: read_csv GH#44106

closed

MEMBER

- [x] closes #44106 - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [x] whatsnew entry Using the example in #44106 I time 188.4s on master and 3.9s on this PR.

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PR_kwDOAA0YD84tsdSY

DEPR: warn on checks retained for fastparquet

closed

MEMBER

- [ ] closes #xxxx - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry cc @mdurant

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I_kwDOAA0YD849yKwB

BUG: Misleading Error Message when column is duplicated

closed

NONE

### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python df = pd.DataFrame({'a':[1,2,3],'b':[1.1,2.2,3.3]}) # copy the df and duplicate a column df2 = df[['a','b','b']] # dtypes over the full df will give results df2.dtypes #iterating over columns will end in unclear error message for col in df2.columns: print(col, df2[col].dtype) ``` ### Issue Description ``` df = pd.DataFrame({'a':[1,2,3],'b':[1.1,2.2,3.3]}) df2 = df[['a','b','b']] df2.dtypes ``` output is ``` a int64 b float64 b float64 dtype: object ``` On iterating over columns to get dtype for each column, you got the error ``` for col in df2.columns: print(col, df2[col].dtype) ``` here's the output ``` a int64 --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-357-ec02ef63fa3c> in <module>() 1 for col in df2.columns: ----> 2 print(col, df2[col].dtype) /usr/local/lib/python3.7/dist-packages/pandas/core/generic.py in __getattr__(self, name) 5139 if self._info_axis._can_hold_identifiers_and_holds_name(name): 5140 return self[name] -> 5141 return object.__getattribute__(self, name) 5142 5143 def __setattr__(self, name: str, value) -> None: AttributeError: 'DataFrame' object has no attribute 'dtype' ``` ### Expected Behavior Error message should state the error root cause or at least some guidance. ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : b5958ee1999e9aead1938c0bba2b674378807b3d python : 3.7.12.final.0 python-bits : 64 OS : Linux OS-release : 5.4.104+ Version : #1 SMP Sat Jun 5 09:50:34 PDT 2021 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.1.5 numpy : 1.19.5 pytz : 2018.9 dateutil : 2.8.2 pip : 21.1.3 setuptools : 57.4.0 Cython : 0.29.24 pytest : 3.6.4 hypothesis : None sphinx : 1.8.5 blosc : None feather : 0.4.1 xlsxwriter : None lxml.etree : 4.2.6 html5lib : 1.0.1 pymysql : None psycopg2 : 2.7.6.1 (dt dec pq3 ext lo64) jinja2 : 2.11.3 IPython : 5.5.0 pandas_datareader: 0.9.0 bs4 : 4.6.3 bottleneck : 1.3.2 fsspec : None fastparquet : None gcsfs : None matplotlib : 3.2.2 numexpr : 2.7.3 odfpy : None openpyxl : 2.5.9 pandas_gbq : 0.13.3 pyarrow : 3.0.0 pytables : None pyxlsb : None s3fs : None scipy : 1.4.1 sqlalchemy : 1.4.25 tables : 3.4.4 tabulate : 0.8.9 xarray : 0.18.2 xlrd : 1.1.0 xlwt : 1.3.0 numba : 0.51.2 </details>

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PR_kwDOAA0YD84ts1ML

Fix series with none equals float series

closed

MEMBER

- [x] closes #44190 - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [x] whatsnew entry

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I_kwDOAA0YD849ydMf

BUG: .max(axis=1) is incorrect when DataFrame contains tz-aware timestamps and NaT

closed

NONE

### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [ ] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd # Incorrect result and warning with timezone aware df rng_with_tz = pd.date_range(start='2021-10-01T12:00:00+02:00', end='2021-10-02T12:00:00+02:00', freq='4H') df_with_tz = pd.DataFrame(data={'A': rng_with_tz, 'B': rng_with_tz + pd.Timedelta(minutes=20)}) df_with_tz.iloc[2, 1] = pd.NaT print(df_with_tz) print(df_with_tz.max(axis=1)) # No problem with timezone naive dataframe rng_tz_naive = pd.date_range(start='2021-10-01T12:00:00', end='2021-10-02T12:00:00', freq='4H') df_tz_naive = pd.DataFrame(data={'A': rng_tz_naive, 'B': rng_tz_naive + pd.Timedelta(minutes=20)}) df_tz_naive.iloc[2, 1] = pd.NaT print(df_tz_naive) print(df_tz_naive.max(axis=1)) # Also no problem on other axis print(df_with_tz.transpose().max(axis=0)) # And no problem without NaT df_with_tz.iloc[2, 1] = df_with_tz.iloc[2, 0] + pd.Timedelta(minutes=20) print(df_with_tz.max(axis=1)) ``` ### Issue Description Using the `.max(axis=1)` operation on a dataframe with timezone aware datetime columns that contain at least one NaT produces an incorrect result (and an obscure warning). The issue occurs only when all conditions are met. For example there is a workaround by operating on the other axis via transpose like `df.transpose().max(axis=0)`. Also dataframes with timezone naive columns do not show the problematic behaviour as do dataframes that do not contain NaTs. ### Expected Behavior The operation `df_with_tz.max(axis=1)` should return the max along columns thereby ignoring NaTs, similar to the same operation along rows (`axis=0`). ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5 python : 3.9.7.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.14393 machine : AMD64 processor : Intel64 Family 6 Model 85 Stepping 0, GenuineIntel byteorder : little LC_ALL : None LANG : None LOCALE : de_DE.cp1252 pandas : 1.3.4 numpy : 1.20.3 pytz : 2021.3 dateutil : 2.8.2 pip : 21.3.1 setuptools : 58.3.0 Cython : None pytest : 6.2.5 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.2 IPython : None pandas_datareader: None bs4 : None bottleneck : None fsspec : None fastparquet : None gcsfs : None matplotlib : 3.4.3 numexpr : None odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : None pyxlsb : None s3fs : None scipy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None numba : 0.54.1 </details>

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PR_kwDOAA0YD84ttLoZ

Backport PR #44192 on branch 1.3.x (PERF: read_csv GH#44106)

closed

NONE

Backport PR #44192: PERF: read_csv GH#44106

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PR_kwDOAA0YD84ttfXC

CLN: remove no-op BlockManager.downcast

closed

MEMBER

- [ ] closes #xxxx - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry

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