pandas.get_option   pandas.get_option(pat)=<pandas._config.config.CallableDynamicDoc object>
 
Retrieves the value of the specified option. Available options:  compute.[use_bottleneck, use_numba, use_numexpr] display.[chop_threshold, colheader_justify, column_space, date_dayfirst, date_yearfirst, encoding, expand_frame_repr, float_format] display.html.[border, table_schema, use_mathjax] display.[large_repr] display.latex.[escape, longtable, multicolumn, multicolumn_format, multirow, repr] display.[max_categories, max_columns, max_colwidth, max_dir_items, max_info_columns, max_info_rows, max_rows, max_seq_items, memory_usage, min_rows, multi_sparse, notebook_repr_html, pprint_nest_depth, precision, show_dimensions] display.unicode.[ambiguous_as_wide, east_asian_width] display.[width] io.excel.ods.[reader, writer] io.excel.xls.[reader, writer] io.excel.xlsb.[reader] io.excel.xlsm.[reader, writer] io.excel.xlsx.[reader, writer] io.hdf.[default_format, dropna_table] io.parquet.[engine] io.sql.[engine] mode.[chained_assignment, data_manager, sim_interactive, string_storage, use_inf_as_na, use_inf_as_null] plotting.[backend] plotting.matplotlib.[register_converters] styler.format.[decimal, escape, formatter, na_rep, precision, thousands] styler.html.[mathjax] styler.latex.[environment, hrules, multicol_align, multirow_align] styler.render.[encoding, max_columns, max_elements, max_rows, repr] styler.sparse.[columns, index]   Parameters 
 
pat:str


Regexp which should match a single option. Note: partial matches are supported for convenience, but unless you use the full option name (e.g. x.y.z.option_name), your code may break in future versions if new options with similar names are introduced.    Returns 
 
result:the value of the option

  Raises 
 
OptionError:if no such option exists

   Notes The available options with its descriptions:  compute.use_bottleneck:bool


Use the bottleneck library to accelerate if it is installed, the default is True Valid values: False,True [default: True] [currently: True]  compute.use_numba:bool


Use the numba engine option for select operations if it is installed, the default is False Valid values: False,True [default: False] [currently: False]  compute.use_numexpr:bool


Use the numexpr library to accelerate computation if it is installed, the default is True Valid values: False,True [default: True] [currently: True]  display.chop_threshold:float or None


if set to a float value, all float values smaller then the given threshold will be displayed as exactly 0 by repr and friends. [default: None] [currently: None]  display.colheader_justify:‘left’/’right’


Controls the justification of column headers. used by DataFrameFormatter. [default: right] [currently: right]  display.column_space No description available.

[default: 12] [currently: 12]  display.date_dayfirst:boolean


When True, prints and parses dates with the day first, eg 20/01/2005 [default: False] [currently: False]  display.date_yearfirst:boolean


When True, prints and parses dates with the year first, eg 2005/01/20 [default: False] [currently: False]  display.encoding:str/unicode


Defaults to the detected encoding of the console. Specifies the encoding to be used for strings returned by to_string, these are generally strings meant to be displayed on the console. [default: utf-8] [currently: utf-8]  display.expand_frame_repr:boolean


Whether to print out the full DataFrame repr for wide DataFrames across multiple lines, max_columns is still respected, but the output will wrap-around across multiple “pages” if its width exceeds display.width. [default: True] [currently: True]  display.float_format:callable


The callable should accept a floating point number and return a string with the desired format of the number. This is used in some places like SeriesFormatter. See formats.format.EngFormatter for an example. [default: None] [currently: None]  display.html.border:int


A border=value attribute is inserted in the <table> tag for the DataFrame HTML repr. [default: 1] [currently: 1]  display.html.table_schema:boolean


Whether to publish a Table Schema representation for frontends that support it. (default: False) [default: False] [currently: False]  display.html.use_mathjax:boolean


When True, Jupyter notebook will process table contents using MathJax, rendering mathematical expressions enclosed by the dollar symbol. (default: True) [default: True] [currently: True]  display.large_repr:‘truncate’/’info’


For DataFrames exceeding max_rows/max_cols, the repr (and HTML repr) can show a truncated table (the default from 0.13), or switch to the view from df.info() (the behaviour in earlier versions of pandas). [default: truncate] [currently: truncate]  display.latex.escape:bool


This specifies if the to_latex method of a Dataframe uses escapes special characters. Valid values: False,True [default: True] [currently: True]  display.latex.longtable :bool

This specifies if the to_latex method of a Dataframe uses the longtable format. Valid values: False,True [default: False] [currently: False]  display.latex.multicolumn:bool


This specifies if the to_latex method of a Dataframe uses multicolumns to pretty-print MultiIndex columns. Valid values: False,True [default: True] [currently: True]  display.latex.multicolumn_format:bool


This specifies if the to_latex method of a Dataframe uses multicolumns to pretty-print MultiIndex columns. Valid values: False,True [default: l] [currently: l]  display.latex.multirow:bool


This specifies if the to_latex method of a Dataframe uses multirows to pretty-print MultiIndex rows. Valid values: False,True [default: False] [currently: False]  display.latex.repr:boolean


Whether to produce a latex DataFrame representation for jupyter environments that support it. (default: False) [default: False] [currently: False]  display.max_categories:int


This sets the maximum number of categories pandas should output when printing out a Categorical or a Series of dtype “category”. [default: 8] [currently: 8]  display.max_columns:int


If max_cols is exceeded, switch to truncate view. Depending on large_repr, objects are either centrally truncated or printed as a summary view. ‘None’ value means unlimited. In case python/IPython is running in a terminal and large_repr equals ‘truncate’ this can be set to 0 and pandas will auto-detect the width of the terminal and print a truncated object which fits the screen width. The IPython notebook, IPython qtconsole, or IDLE do not run in a terminal and hence it is not possible to do correct auto-detection. [default: 0] [currently: 0]  display.max_colwidth:int or None


The maximum width in characters of a column in the repr of a pandas data structure. When the column overflows, a “…” placeholder is embedded in the output. A ‘None’ value means unlimited. [default: 50] [currently: 50]  display.max_dir_items:int


The number of items that will be added to dir(…). ‘None’ value means unlimited. Because dir is cached, changing this option will not immediately affect already existing dataframes until a column is deleted or added. This is for instance used to suggest columns from a dataframe to tab completion. [default: 100] [currently: 100]  display.max_info_columns:int


max_info_columns is used in DataFrame.info method to decide if per column information will be printed. [default: 100] [currently: 100]  display.max_info_rows:int or None


df.info() will usually show null-counts for each column. For large frames this can be quite slow. max_info_rows and max_info_cols limit this null check only to frames with smaller dimensions than specified. [default: 1690785] [currently: 1690785]  display.max_rows:int


If max_rows is exceeded, switch to truncate view. Depending on large_repr, objects are either centrally truncated or printed as a summary view. ‘None’ value means unlimited. In case python/IPython is running in a terminal and large_repr equals ‘truncate’ this can be set to 0 and pandas will auto-detect the height of the terminal and print a truncated object which fits the screen height. The IPython notebook, IPython qtconsole, or IDLE do not run in a terminal and hence it is not possible to do correct auto-detection. [default: 60] [currently: 60]  display.max_seq_items:int or None


When pretty-printing a long sequence, no more then max_seq_items will be printed. If items are omitted, they will be denoted by the addition of “…” to the resulting string. If set to None, the number of items to be printed is unlimited. [default: 100] [currently: 100]  display.memory_usage:bool, string or None


This specifies if the memory usage of a DataFrame should be displayed when df.info() is called. Valid values True,False,’deep’ [default: True] [currently: True]  display.min_rows:int


The numbers of rows to show in a truncated view (when max_rows is exceeded). Ignored when max_rows is set to None or 0. When set to None, follows the value of max_rows. [default: 10] [currently: 10]  display.multi_sparse:boolean


“sparsify” MultiIndex display (don’t display repeated elements in outer levels within groups) [default: True] [currently: True]  display.notebook_repr_html:boolean


When True, IPython notebook will use html representation for pandas objects (if it is available). [default: True] [currently: True]  display.pprint_nest_depth:int


Controls the number of nested levels to process when pretty-printing [default: 3] [currently: 3]  display.precision:int


Floating point output precision in terms of number of places after the decimal, for regular formatting as well as scientific notation. Similar to precision in numpy.set_printoptions(). [default: 6] [currently: 6]  display.show_dimensions:boolean or ‘truncate’


Whether to print out dimensions at the end of DataFrame repr. If ‘truncate’ is specified, only print out the dimensions if the frame is truncated (e.g. not display all rows and/or columns) [default: truncate] [currently: truncate]  display.unicode.ambiguous_as_wide:boolean


Whether to use the Unicode East Asian Width to calculate the display text width. Enabling this may affect to the performance (default: False) [default: False] [currently: False]  display.unicode.east_asian_width:boolean


Whether to use the Unicode East Asian Width to calculate the display text width. Enabling this may affect to the performance (default: False) [default: False] [currently: False]  display.width:int


Width of the display in characters. In case python/IPython is running in a terminal this can be set to None and pandas will correctly auto-detect the width. Note that the IPython notebook, IPython qtconsole, or IDLE do not run in a terminal and hence it is not possible to correctly detect the width. [default: 80] [currently: 80]  io.excel.ods.reader:string


The default Excel reader engine for ‘ods’ files. Available options: auto, odf. [default: auto] [currently: auto]  io.excel.ods.writer:string


The default Excel writer engine for ‘ods’ files. Available options: auto, odf. [default: auto] [currently: auto]  io.excel.xls.reader:string


The default Excel reader engine for ‘xls’ files. Available options: auto, xlrd. [default: auto] [currently: auto]  io.excel.xls.writer:string


The default Excel writer engine for ‘xls’ files. Available options: auto, xlwt. [default: auto] [currently: auto] (Deprecated, use `` instead.)  io.excel.xlsb.reader:string


The default Excel reader engine for ‘xlsb’ files. Available options: auto, pyxlsb. [default: auto] [currently: auto]  io.excel.xlsm.reader:string


The default Excel reader engine for ‘xlsm’ files. Available options: auto, xlrd, openpyxl. [default: auto] [currently: auto]  io.excel.xlsm.writer:string


The default Excel writer engine for ‘xlsm’ files. Available options: auto, openpyxl. [default: auto] [currently: auto]  io.excel.xlsx.reader:string


The default Excel reader engine for ‘xlsx’ files. Available options: auto, xlrd, openpyxl. [default: auto] [currently: auto]  io.excel.xlsx.writer:string


The default Excel writer engine for ‘xlsx’ files. Available options: auto, openpyxl, xlsxwriter. [default: auto] [currently: auto]  io.hdf.default_format:format


default format writing format, if None, then put will default to ‘fixed’ and append will default to ‘table’ [default: None] [currently: None]  io.hdf.dropna_table:boolean


drop ALL nan rows when appending to a table [default: False] [currently: False]  io.parquet.engine:string


The default parquet reader/writer engine. Available options: ‘auto’, ‘pyarrow’, ‘fastparquet’, the default is ‘auto’ [default: auto] [currently: auto]  io.sql.engine:string


The default sql reader/writer engine. Available options: ‘auto’, ‘sqlalchemy’, the default is ‘auto’ [default: auto] [currently: auto]  mode.chained_assignment:string


Raise an exception, warn, or no action if trying to use chained assignment, The default is warn [default: warn] [currently: warn]  mode.data_manager:string


Internal data manager type; can be “block” or “array”. Defaults to “block”, unless overridden by the ‘PANDAS_DATA_MANAGER’ environment variable (needs to be set before pandas is imported). [default: block] [currently: block]  mode.sim_interactive:boolean


Whether to simulate interactive mode for purposes of testing [default: False] [currently: False]  mode.string_storage:string


The default storage for StringDtype. [default: python] [currently: python]  mode.use_inf_as_na:boolean


True means treat None, NaN, INF, -INF as NA (old way), False means None and NaN are null, but INF, -INF are not NA (new way). [default: False] [currently: False]  mode.use_inf_as_null:boolean


use_inf_as_null had been deprecated and will be removed in a future version. Use use_inf_as_na instead. [default: False] [currently: False] (Deprecated, use mode.use_inf_as_na instead.)  plotting.backend:str


The plotting backend to use. The default value is “matplotlib”, the backend provided with pandas. Other backends can be specified by providing the name of the module that implements the backend. [default: matplotlib] [currently: matplotlib]  plotting.matplotlib.register_converters:bool or ‘auto’.


Whether to register converters with matplotlib’s units registry for dates, times, datetimes, and Periods. Toggling to False will remove the converters, restoring any converters that pandas overwrote. [default: auto] [currently: auto]  styler.format.decimal:str


The character representation for the decimal separator for floats and complex. [default: .] [currently: .]  styler.format.escape:str, optional


Whether to escape certain characters according to the given context; html or latex. [default: None] [currently: None]  styler.format.formatter:str, callable, dict, optional


A formatter object to be used as default within Styler.format. [default: None] [currently: None]  styler.format.na_rep:str, optional


The string representation for values identified as missing. [default: None] [currently: None]  styler.format.precision:int


The precision for floats and complex numbers. [default: 6] [currently: 6]  styler.format.thousands:str, optional


The character representation for thousands separator for floats, int and complex. [default: None] [currently: None]  styler.html.mathjax:bool


If False will render special CSS classes to table attributes that indicate Mathjax will not be used in Jupyter Notebook. [default: True] [currently: True]  styler.latex.environment:str


The environment to replace \begin{table}. If “longtable” is used results in a specific longtable environment format. [default: None] [currently: None]  styler.latex.hrules:bool


Whether to add horizontal rules on top and bottom and below the headers. [default: False] [currently: False]  styler.latex.multicol_align:{“r”, “c”, “l”, “naive-l”, “naive-r”}


The specifier for horizontal alignment of sparsified LaTeX multicolumns. Pipe decorators can also be added to non-naive values to draw vertical rules, e.g. “|r” will draw a rule on the left side of right aligned merged cells. [default: r] [currently: r]  styler.latex.multirow_align:{“c”, “t”, “b”}


The specifier for vertical alignment of sparsified LaTeX multirows. [default: c] [currently: c]  styler.render.encoding:str


The encoding used for output HTML and LaTeX files. [default: utf-8] [currently: utf-8]  styler.render.max_columns:int, optional


The maximum number of columns that will be rendered. May still be reduced to satsify max_elements, which takes precedence. [default: None] [currently: None]  styler.render.max_elements:int


The maximum number of data-cell (<td>) elements that will be rendered before trimming will occur over columns, rows or both if needed. [default: 262144] [currently: 262144]  styler.render.max_rows:int, optional


The maximum number of rows that will be rendered. May still be reduced to satsify max_elements, which takes precedence. [default: None] [currently: None]  styler.render.repr:str


Determine which output to use in Jupyter Notebook in {“html”, “latex”}. [default: html] [currently: html]  styler.sparse.columns:bool


Whether to sparsify the display of hierarchical columns. Setting to False will display each explicit level element in a hierarchical key for each column. [default: True] [currently: True]  styler.sparse.index:bool


Whether to sparsify the display of a hierarchical index. Setting to False will display each explicit level element in a hierarchical key for each row. [default: True] [currently: True]