方法set_option的pandas选项列表

方法set_option的pandas选项列表

describe_option

在此处调用链接还显示了使用此功能的其他方式：

In [37]:pd.describe_option()display.chop_threshold: [default: None] [currently: None]: 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.display.colheader_justify: [default: right] [currently: right]: 'left'/'right'        Controls the justification of column headers. used by DataframeFormatter.display.column_space: [default: 12] [currently: 12]No description available.display.date_dayfirst: [default: False] [currently: False]: boolean        When True, prints and parses dates with the day first, eg 20/01/2005display.date_yearfirst: [default: False] [currently: False]: boolean        When True, prints and parses dates with the year first, eg 2005/01/20display.encoding: [default: UTF-8] [currently: UTF-8]: str/unipre        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.display.expand_frame_repr: [default: True] [currently: True]: 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 it's width exceeds `display.width`.display.float_format: [default: None] [currently: <built-in method format of str object at 0x0000000008899AA8>]: 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 core.format.EngFormatter for an example.display.height: [default: 60] [currently: 60]: int        Deprecated.    (Deprecated, use `display.height` instead.)display.line_width: [default: 80] [currently: 80]: int        Deprecated.    (Deprecated, use `display.width` instead.)display.max_columns: [default: 20] [currently: 20]: int        max_rows and max_columns are used in __repr__() methods to decide if        to_string() or info() is used to render an object to a string.  In case        python/IPython is running in a terminal this can be set to 0 and pandas        will correctly auto-detect the width the terminal and swap to a smaller        format in case all columns would not fit vertically. The IPython notebook,        IPython qtconsole, or IDLE do not run in a terminal and hence it is not        possible to do correct auto-detection.        'None' value means unlimited.display.max_colwidth: [default: 50] [currently: 50]: int        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.display.max_info_columns: [default: 100] [currently: 100]: int        max_info_columns is used in Dataframe.info method to decide if        per column information will be printed.display.max_info_rows: [default: 1690785] [currently: 1690785]: int or None        max_info_rows is the maximum number of rows for which a frame will        perform a null check on its columns when repr'ing To a console.        The default is 1,000,000 rows. So, if a Dataframe has more        1,000,000 rows there will be no null check performed on the        columns and thus the representation will take much less time to        display in an interactive session. A value of None means always        perform a null check when repr'ing.display.max_rows: [default: 60] [currently: 60]: int        This sets the maximum number of rows pandas should output when printing        out various output. For example, this value determines whether the repr()        for a dataframe prints out fully or just a summary repr.        'None' value means unlimited.display.max_seq_items: [default: None] [currently: None]: int or None        when pretty-printing a long sequence, no more then `max_seq_items`        will be printed. If items are ommitted, 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.display.mpl_style: [default: None] [currently: None]: bool        Setting this to 'default' will modify the rcParams used by matplotlib        to give plots a more pleasing visual style by default.        Setting this to None/False restores the values to their initial value.display.multi_sparse: [default: True] [currently: True]: boolean        "sparsify" MultiIndex display (don't display repeated        elements in outer levels within groups)display.notebook_repr_html: [default: True] [currently: False]: boolean        When True, IPython notebook will use html representation for        pandas objects (if it is available).display.pprint_nest_depth: [default: 3] [currently: 3]: int        Controls the number of nested levels to process when pretty-printingdisplay.precision: [default: 7] [currently: 7]: int        Floating point output precision (number of significant digits). This is        only a suggestiondisplay.width: [default: 80] [currently: 80]: 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.mode.sim_interactive: [default: False] [currently: False]: boolean        Whether to simulate interactive mode for purposes of testingmode.use_inf_as_null: [default: False] [currently: False]: boolean        True means treat None, NaN, INF, -INF as null (old way),        False means None and NaN are null, but INF, -INF are not null        (new way).