Repository: unionai-oss/pandera (Python)

Issue:
Timezone-aware bug with Multi-Index
**Describe the bug**
Timezone aware field in a multi-index fails.

Passing a timezone aware field in as an `Index` works, but if it is part of a multi-index it does not. I saw that this was an old bug that was fixed when the timestamp was a single index level [here](https://github.com/unionai-oss/pandera/issues/1046).

- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandera.

#### Code Sample

```python
import pandas as pd
from pandera import DataFrameModel, Field
from pandera.typing import Index, Series

class PassingModel(DataFrameModel):
    time: Index[pd.DatetimeTZDtype] = Field(
        dtype_kwargs = {"unit": "ns", "tz": "UTC"}
    )
    value: Series[float] = Field()

class FailingModel(DataFrameModel):
    time: Index[pd.DatetimeTZDtype] = Field(
        dtype_kwargs = {"unit": "ns", "tz": "UTC"}
    )
    category: Index[str] = Field()
    value: Series[float] = Field()

PassingModel.example(size=5)
FailingModel.example(size=5)
```

#### Expected behavior
Generating the example DataFrame with the `PassingModel` class works, however it fails with the `FailingModel` class. The traceback is below:

### Traceback

<details>

```python
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
File [/lib/python3.10/site-packages/pandera/strategies/pandas_strategies.py:176], in strategy_import_error.<locals>._wrapper(*args, **kwargs)
    169 if not HAS_HYPOTHESIS:  # pragma: no cover
    170     raise ImportError(
    171         'Strategies for generating data requires "hypothesis" to be \n'
    172         "installed. You can install pandera together with the strategies \n"
    173         "dependencies with:\n"
    174         "pip install pandera[strategies]"
    175     )
--> 176 return fn(*args, **kwargs)

File [/lib/python3.10/site-packages/pandera/api/pandas/model.py:327], in DataFrameModel.example(cls, **kwargs)
    318 @classmethod
    319 @docstring_substitution(example_doc=DataFrameSchema.strategy.__doc__)
    320 @st.strategy_import_error
   (...)
    323     **kwargs,
    324 ) -> DataFrameBase[TDataFrameModel]:
    325     """%(example_doc)s"""
    326     return cast(
--> 327         DataFrameBase[TDataFrameModel], cls.to_schema().example(**kwargs)
    328     )

File [/lib/python3.10/site-packages/pandera/api/pandas/container.py:1391], in DataFrameSchema.example(self, size, n_regex_columns)
   1384 with warnings.catch_warnings():
   1385     warnings.simplefilter(
   1386         "ignore",
   1387         category=hypothesis.errors.NonInteractiveExampleWarning,
   1388     )
   1389     return self.strategy(
   1390         size=size, n_regex_columns=n_regex_columns
-> 1391     ).example()

File [/lib/python3.10/site-packages/hypothesis/strategies/_internal/strategies.py:337], in SearchStrategy.example(self)
    325 @given(self)
    326 @settings(
    327     database=None,
   (...)
    333 )
    334 def example_generating_inner_function(ex):
    335     self.__examples.append(ex)
--> 337 example_generating_inner_function()
    338 shuffle(self.__examples)
    339 return self.__examples.pop()

File [/lib/python3.10/site-packages/hypothesis/strategies/_internal/strategies.py:326], in SearchStrategy.example.<locals>.example_generating_inner_function()
    321 from hypothesis.core import given
    323 # Note: this function has a weird name because it might appear in
    324 # tracebacks, and we want users to know that they can ignore it.
    325 @given(self)
--> 326 @settings(
    327     database=None,
    328     max_examples=100,
    329     deadline=None,
    330     verbosity=Verbosity.quiet,
    331     phases=(Phase.generate,),
    332     suppress_health_check=list(HealthCheck),
    333 )
    334 def example_generating_inner_function(ex):
    335     self.__examples.append(ex)
    337 example_generating_inner_function()

    [... skipping hidden 1 frame]

File [/lib/python3.10/site-packages/pandera/strategies/pandas_strategies.py:1197], in dataframe_strategy.<locals>._dataframe_strategy(draw)
   1192     for check in column_checks:  # type: ignore
   1193         strategy = undefined_check_strategy(
   1194             strategy, check, column=col_name
   1195         )
-> 1197 return draw(strategy)

File [/lib/python3.10/site-packages/hypothesis/internal/conjecture/data.py:951], in ConjectureData.draw(self, strategy, label)
    949 try:
    950     if not at_top_level:
--> 951         return strategy.do_draw(self)
    952     else:
    953         assert start_time is not None

File [/lib/python3.10/site-packages/hypothesis/strategies/_internal/lazy.py:160], in LazyStrategy.do_draw(self, data)
    159 def do_draw(self, data):
--> 160     return data.draw(self.wrapped_strategy)

File [/lib/python3.10/site-packages/hypothesis/internal/conjecture/data.py:951], in ConjectureData.draw(self, strategy, label)
    949 try:
    950     if not at_top_level:
--> 951         return strategy.do_draw(self)
    952     else:
    953         assert start_time is not None

File [/lib/python3.10/site-packages/hypothesis/strategies/_internal/core.py:1539], in CompositeStrategy.do_draw(self, data)
   1538 def do_draw(self, data):
-> 1539     return self.definition(data.draw, *self.args, **self.kwargs)

File [/lib/python3.10/site-packages/pandera/strategies/pandas_strategies.py:146], in set_pandas_index(draw, df_or_series_strat, index)
    144 """Sets Index or MultiIndex object to pandas Series or DataFrame."""
    145 df_or_series = draw(df_or_series_strat)
--> 146 df_or_series.index = draw(index.strategy(size=df_or_series.shape[0]))
    147 return df_or_series

File [/lib/python3.10/site-packages/hypothesis/internal/conjecture/data.py:951], in ConjectureData.draw(self, strategy, label)
    949 try:
    950     if not at_top_level:
--> 951         return strategy.do_draw(self)
    952     else:
    953         assert start_time is not None

File [/lib/python3.10/site-packages/hypothesis/strategies/_internal/strategies.py:836], in MappedSearchStrategy.do_draw(self, data)
    834 try:
    835     data.start_example(MAPPED_SEARCH_STRATEGY_DO_DRAW_LABEL)
--> 836     x = data.draw(self.mapped_strategy)
    837     result = self.pack(x)  # type: ignore
    838     data.stop_example()

File [/lib/python3.10/site-packages/hypothesis/internal/conjecture/data.py:951], in ConjectureData.draw(self, strategy, label)
    949 try:
    950     if not at_top_level:
--> 951         return strategy.do_draw(self)
    952     else:
    953         assert start_time is not None

File [/lib/python3.10/site-packages/hypothesis/strategies/_internal/strategies.py:836], in MappedSearchStrategy.do_draw(self, data)
    834 try:
    835     data.start_example(MAPPED_SEARCH_STRATEGY_DO_DRAW_LABEL)
--> 836     x = data.draw(self.mapped_strategy)
    837     result = self.pack(x)  # type: ignore
    838     data.stop_example()

File [/lib/python3.10/site-packages/hypothesis/internal/conjecture/data.py:951], in ConjectureData.draw(self, strategy, label)
    949 try:
    950     if not at_top_level:
--> 951         return strategy.do_draw(self)
    952     else:
    953         assert start_time is not None

File [/lib/python3.10/site-packages/hypothesis/strategies/_internal/strategies.py:837], in MappedSearchStrategy.do_draw(self, data)
    835 data.start_example(MAPPED_SEARCH_STRATEGY_DO_DRAW_LABEL)
    836 x = data.draw(self.mapped_strategy)
--> 837 result = self.pack(x)  # type: ignore
    838 data.stop_example()
    839 _current_build_context.value.record_call(result, self.pack, [x], {})

File [/lib/python3.10/site-packages/pandera/strategies/pandas_strategies.py:1241] in multiindex_strategy.<locals>.<lambda>(x)
   1227 index_dtypes = {
   1228     index.name if index.name is not None else i: str(index.dtype)
   1229     for i, index in enumerate(indexes)
   1230 }
   1231 nullable_index = {
   1232     index.name if index.name is not None else i: index.nullable
   1233     for i, index in enumerate(indexes)
   1234 }
   1235 strategy = pdst.data_frames(
   1236     [index.strategy_component() for index in indexes],
   1237     index=pdst.range_indexes(
   1238         min_size=0 if size is None else size, max_size=size
   1239     ),
   1240 ).map(
-> 1241     lambda x: x.astype(index_dtypes)  # type: ignore[arg-type]
   1242 )
   1244 # this is a hack to convert np.str_ data values into native python str.
   1245 for name, dtype in index_dtypes.items():

File [/lib/python3.10/site-packages/pandas/core/generic.py:6305], in NDFrame.astype(self, dtype, copy, errors)
   6303 else:
   6304     try:
-> 6305         res_col = col.astype(dtype=cdt, copy=copy, errors=errors)
   6306     except ValueError as ex:
   6307         ex.args = (
   6308             f"{ex}: Error while type casting for column '{col_name}'",
   6309         )

File [/lib/python3.10/site-packages/pandas/core/generic.py:6324] in NDFrame.astype(self, dtype, copy, errors)
   6317     results = [
   6318         self.iloc[:, i].astype(dtype, copy=copy)
   6319         for i in range(len(self.columns))
   6320     ]
   6322 else:
   6323     # else, only a single dtype is given
-> 6324     new_data = self._mgr.astype(dtype=dtype, copy=copy, errors=errors)
   6325     return self._constructor(new_data).__finalize__(self, method="astype")
   6327 # GH 33113: handle empty frame or series

File [/lib/python3.10/site-packages/pandas/core/internals/managers.py:451], in BaseBlockManager.astype(self, dtype, copy, errors)
    448 elif using_copy_on_write():
    449     copy = False
--> 451 return self.apply(
    452     "astype",
    453     dtype=dtype,
    454     copy=copy,
    455     errors=errors,
    456     using_cow=using_copy_on_write(),
    457 )

File [/lib/python3.10/site-packages/pandas/core/internals/managers.py:352], in BaseBlockManager.apply(self, f, align_keys, **kwargs)
    350         applied = b.apply(f, **kwargs)
    351     else:
--> 352         applied = getattr(b, f)(**kwargs)
    353     result_blocks = extend_blocks(applied, result_blocks)
    355 out = type(self).from_blocks(result_blocks, self.axes)

File [/lib/python3.10/site-packages/pandas/core/internals/blocks.py:511], in Block.astype(self, dtype, copy, errors, using_cow)
    491 """
    492 Coerce to the new dtype.
    493 
   (...)
    507 Block
    508 """
    509 values = self.values
--> 511 new_values = astype_array_safe(values, dtype, copy=copy, errors=errors)
    513 new_values = maybe_coerce_values(new_values)
    515 refs = None

File [/lib/python3.10/site-packages/pandas/core/dtypes/astype.py:242], in astype_array_safe(values, dtype, copy, errors)
    239     dtype = dtype.numpy_dtype
    241 try:
--> 242     new_values = astype_array(values, dtype, copy=copy)
    243 except (ValueError, TypeError):
    244     # e.g. _astype_nansafe can fail on object-dtype of strings
    245     #  trying to convert to float
    246     if errors == "ignore":

File [/lib/python3.10/site-packages/pandas/core/dtypes/astype.py:184], in astype_array(values, dtype, copy)
    180     return values
    182 if not isinstance(values, np.ndarray):
    183     # i.e. ExtensionArray
--> 184     values = values.astype(dtype, copy=copy)
    186 else:
    187     values = _astype_nansafe(values, dtype, copy=copy)

File [/lib/python3.10/site-packages/pandas/core/arrays/datetimes.py:656], in DatetimeArray.astype(self, dtype, copy)
    651     return super().astype(dtype, copy=copy)
    652 elif self.tz is None:
    653     # pre-2.0 this did self.tz_localize(dtype.tz), which did not match
    654     #  the Series behavior which did
    655     #  values.tz_localize("UTC").tz_convert(dtype.tz)
--> 656     raise TypeError(
    657         "Cannot use .astype to convert from timezone-naive dtype to "
    658         "timezone-aware dtype. Use obj.tz_localize instead or "
    659         "series.dt.tz_localize instead"
    660     )
    661 else:
    662     # tzaware unit conversion e.g. datetime64[s, UTC]
    663     np_dtype = np.dtype(dtype.str)

TypeError: Cannot use .astype to convert from timezone-naive dtype to timezone-aware dtype. Use obj.tz_localize instead or series.dt.tz_localize instead
```
</details>



Fix (patch):
diff --git a/pandera/strategies/pandas_strategies.py b/pandera/strategies/pandas_strategies.py
index 6a1361893..3167fe5b5 100644
--- a/pandera/strategies/pandas_strategies.py
+++ b/pandera/strategies/pandas_strategies.py
@@ -259,11 +259,8 @@ def convert_dtype(array: Union[pd.Series, pd.Index], col_dtype: Any):
     return array.astype(col_dtype)
 
 
-def convert_dtypes(df: pd.DataFrame, col_dtypes: Dict[str, Any]):
+def convert_dtypes(df: pd.DataFrame, col_dtypes: Dict[Union[int, str], Any]):
     """Convert datatypes of a dataframe."""
-    if df.empty:
-        return df
-
     for col_name, col_dtype in col_dtypes.items():
         array: pd.Series = df[col_name]  # type: ignore[assignment]
         df[col_name] = convert_dtype(array, col_dtype)
@@ -1237,9 +1234,7 @@ def multiindex_strategy(
         index=pdst.range_indexes(
             min_size=0 if size is None else size, max_size=size
         ),
-    ).map(
-        lambda x: x.astype(index_dtypes)  # type: ignore[arg-type]
-    )
+    ).map(partial(convert_dtypes, col_dtypes=index_dtypes))
 
     # this is a hack to convert np.str_ data values into native python str.
     for name, dtype in index_dtypes.items():