1 数据表显示所有行和列

pd.set_option('max_columns',None)
pd.set_option('max_row',None)

设置为 None，会显示所有的行和列。
只设置为数字的时候无效。

2 列内值省略消除

pd.set_option('max_colwidth',200)
pd.set_option('display.width',200)
pd.set_option('display.max_columns',200)

在jupyter部分版本不生效

3 关于set_option所有的参数介绍

Available options:

- display.[chop_threshold, colheader_justify, column_space, date_dayfirst,

  date_yearfirst, encoding, expand_frame_repr, float_format, height, large_repr]

- display.latex.[escape, longtable, repr]

- display.[line_width, max_categories, max_columns, max_colwidth,

  max_info_columns, max_info_rows, max_rows, max_seq_items, memory_usage,

  mpl_style, multi_sparse, notebook_repr_html, pprint_nest_depth, precision,

  show_dimensions]

- display.unicode.[ambiguous_as_wide, east_asian_width]

- display.[width]

- io.excel.xls.[writer]

- io.excel.xlsm.[writer]

- io.excel.xlsx.[writer]

- io.hdf.[default_format, dropna_table]

- mode.[chained_assignment, sim_interactive, use_inf_as_null]

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.

value :

 new value of option.

Returns

-------

None

Raises

------

OptionError if no such option exists

Notes

-----

The available options with its descriptions:

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.height : int

    Deprecated.

    [default: 60] [currently: 60]

    (Deprecated, use `display.max_rows` instead.)

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.

method. 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.

method. 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.line_width : int

    Deprecated.

    [default: 80] [currently: 80]

    (Deprecated, use `display.width` instead.)

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: 20] [currently: 20]

display.max_colwidth : 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.

    [default: 50] [currently: 200]

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.mpl_style : 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.

    [default: None] [currently: None]

display.multi_sparse : boolean

 "sparsify" MultiIndex display (do not 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 (number of significant digits). This is

    only a suggestion

    [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.xls.writer : string

The default Excel writer engine for 'xls' files. Available options:

 'xlwt' (the default).

    [default: xlwt] [currently: xlwt]

io.excel.xlsm.writer : string

The default Excel writer engine for 'xlsm' files. Available options:

 'openpyxl' (the default).

    [default: openpyxl] [currently: openpyxl]

io.excel.xlsx.writer : string

The default Excel writer engine for 'xlsx' files. Available options:

 'xlsxwriter' (the default), 'openpyxl'.

    [default: xlsxwriter] [currently: xlsxwriter]

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]

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.sim_interactive : boolean

Whether to simulate interactive mode for purposes of testing

    [default: False] [currently: False]

mode.use_inf_as_null : 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).

    [default: False] [currently: False]

来自 <https://blog.csdn.net/xiaodongxiexie/article/details/70147683>