Opinion requested: Pandas Options for Styler · Issue #41395 · pandas-dev/pandas (original) (raw)
display.chop_threshold
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.
Exclude
Rarely used, doesn't warrant styler option addition. Can, alternatively, be specifically coded by a UDF formatter option.
display.colheader_justify
right
Controls the justification of column headers. used by DataFrameFormatter.
Exclude Pending
Should be coded with CSS, very specific option to add in?
display.column_space
12
No description available.
Exclude
not relevant, console use only.
display.date_dayfirst
False
When True, prints and parses dates with the day first, eg 20/01/2005
Exclude Pending
May have possible use. Future dev?
display.date_yearfirst
False
When True, prints and parses dates with the year first, eg 2005/01/20
Exclude Pending
..
display.encoding
UTF-8
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.
Pending
Styler should have its own option
display.expand_frame_repr
True
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.
Exclude
Relevant for console printing not HTML / LaTeX.
display.float_format
None
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.
Pending
Should be wrapped up into styler.format options.
display.large_repr
truncate
For DataFrames exceeding max_rows/max_cols, the repr (and HTML repr) can show a truncated table (the default), or switch to the view from df.info() (the behaviour in earlier versions of pandas). allowable settings, [‘truncate’, ‘info’]
Exclude Pending
Can decide if this is completely necessary for HTML.
display.latex.repr
False
Whether to produce a latex DataFrame representation for Jupyter frontends that support it.
Pending
Should be implemented into styler options.
display.latex.escape
True
Escapes special characters in DataFrames, when using the to_latex method.
Pending
included in styler.format options.
display.latex.longtable
False
Specifies if the to_latex method of a DataFrame uses the longtable format.
Pending
included in styler.latex options
display.latex.multicolumn
True
Combines columns when using a MultiIndex
Pending
included in styler.latex options
display.latex.multicolumn_format
‘l’
Alignment of multicolumn labels
Pending
included in styler.latex options
display.latex.multirow
False
Combines rows when using a MultiIndex. Centered instead of top-aligned, separated by clines.
Pending
included in styler.latex options.
display.max_columns
0 or 20
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 is set to 0 by default and pandas will correctly auto-detect the width of the terminal and switch 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, in which case the default is set to 20. ‘None’ value means unlimited.
Pending
styler has own maxs
display.max_colwidth
50
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. ‘None’ value means unlimited.
Excluded Pending
styler has no cell overflow currently
display.max_rows
60
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 truncated or summary repr. ‘None’ value means unlimited.
Pending
styler render options
display.min_rows
10
The numbers of rows to show in a truncated repr (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.
Excluded
no need for min rows with HTML LaTex
display.multi_sparse
True
“Sparsify” MultiIndex display (don’t display repeated elements in outer levels within groups)
display.notebook_repr_html
True
When True, IPython notebook will use html representation for pandas objects (if it is available).
Pending
styler options
display.precision
6
Floating point output precision in terms of number of places after the decimal, for regular formatting as well as scientific notation. Similar to numpy’s precision print option
Pending
styler.format options
display.show_dimensions
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)
Exclude Pending
maybe necessary for backwards compatability with display trimming.
display.width
80
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.
Excluded
by note not relevant for HTML / LaTeX
display.html.table_schema
False
Whether to publish a Table Schema representation for frontends that support it.
Excluded
not relevant for HTML/LaTeX
display.html.border
1
A border=value attribute is inserted in the table tag for the DataFrame HTML repr.
Excluded
this is deprecated HTML.
display.html.use_mathjax
True
When True, Jupyter notebook will process table contents using MathJax, rendering mathematical expressions enclosed by the dollar symbol.
Pending
styler render option.