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DOC: Fix to_latex docstring. #22516

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Merged
merged 4 commits into from
Sep 8, 2018
Merged

DOC: Fix to_latex docstring. #22516

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fadf5e7
DOC: Fix to_latex docstring.
Aug 26, 2018
8d59ef4
Improve to_latex docstring after PR comments
Aug 28, 2018
052a32f
Use optional instead of 'default None' when None is just a flag. Also…
Sep 4, 2018
c64fb5d
Add a short summary to DataFrame.to_latex docstring
Sep 5, 2018
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113 changes: 74 additions & 39 deletions pandas/core/generic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2521,69 +2521,104 @@ def to_xarray(self):
coords=coords,
)

_shared_docs['to_latex'] = r"""
def to_latex(self, buf=None, columns=None, col_space=None, header=True,
index=True, na_rep='NaN', formatters=None, float_format=None,
sparsify=None, index_names=True, bold_rows=False,
column_format=None, longtable=None, escape=None,
encoding=None, decimal='.', multicolumn=None,
multicolumn_format=None, multirow=None):
r"""
Render an object to a tabular environment table. You can splice
this into a LaTeX document. Requires \\usepackage{booktabs}.
this into a LaTeX document. Requires \usepackage{booktabs}.

.. versionchanged:: 0.20.2
Added to Series

`to_latex`-specific options:

bold_rows : boolean, default False
Make the row labels bold in the output
Parameters
----------
buf : file descriptor or None
Buffer to write to. If None, the output is returned as a string.
columns : list of label, optional
The subset of columns to write. Writes all columns by default.
col_space : int, optional
The minimum width of each column.
header : bool or list of str, default True
Write out the column names. If a list of strings is given,
it is assumed to be aliases for the column names.
index : bool, default True
Write row names (index).
na_rep : str, default 'NaN'
Missing data representation.
formatters : list of functions or dict of {str: function}, optional
Formatter functions to apply to columns' elements by position or
name. The result of each function must be a unicode string.
List must be of length equal to the number of columns.
float_format : str, optional
Format string for floating point numbers.
sparsify : bool, optional, default None
Set to False for a DataFrame with a hierarchical index to print
every multiindex key at each row. If None, the default will be
read from the config module.
index_names : bool, default True
Prints the names of the indexes.
bold_rows : bool, default False
Make the row labels bold in the output.
column_format : str, default None
The columns format as specified in `LaTeX table format
<https://en.wikibooks.org/wiki/LaTeX/Tables>`__ e.g 'rcl' for 3
columns
longtable : boolean, default will be read from the pandas config module
Default: False.
Use a longtable environment instead of tabular. Requires adding
a \\usepackage{longtable} to your LaTeX preamble.
escape : boolean, default will be read from the pandas config module
Default: True.
<https://en.wikibooks.org/wiki/LaTeX/Tables>`__ e.g. 'rcl' for 3
columns.
longtable : bool, default None
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should it be bool, optional, default None, like on line 2558?

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In this case it should be bool, optional. We never use whatever_type, optional, default None. We use only one of them.

When the None default value is being used, we use default None, imagine for example .fillna(value=None) where the None is the value used to impute.

When the None is just a flag, then we use optional. For example, in this case the longtable won't get the value None itself, but a value from the config. Meaning that it's optional to provide a longtable value, as we can use that.

When set to None, the value will default from the pandas config
module. Use a longtable environment instead of tabular. Requires
adding a \usepackage{longtable} to your LaTeX preamble.
escape : bool, default None
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same question as above.

If None, default will be read from the pandas config module.
When set to False prevents from escaping latex special
characters in column names.
encoding : str, default None
A string representing the encoding to use in the output file,
defaults to 'ascii' on Python 2 and 'utf-8' on Python 3.
decimal : string, default '.'
decimal : str, default '.'
Character recognized as decimal separator, e.g. ',' in Europe.

.. versionadded:: 0.18.0

multicolumn : boolean, default True
multicolumn : bool, default True
Use \multicolumn to enhance MultiIndex columns.
The default will be read from the config module.

.. versionadded:: 0.20.0

multicolumn_format : str, default 'l'
The alignment for multicolumns, similar to `column_format`
The default will be read from the config module.

.. versionadded:: 0.20.0
multirow : bool, default False
Use \multirow to enhance MultiIndex rows. Requires adding a
\usepackage{multirow} to your LaTeX preamble. Will print
centered labels (instead of top-aligned) across the contained
rows, separating groups via clines. The default will be read
from the pandas config module.
.. versionadded:: 0.20.0

multirow : boolean, default False
Use \multirow to enhance MultiIndex rows.
Requires adding a \\usepackage{multirow} to your LaTeX preamble.
Will print centered labels (instead of top-aligned)
across the contained rows, separating groups via clines.
The default will be read from the pandas config module.
Returns
-------
str or None
If buf is None, returns the resulting LateX format as a
string. Otherwise returns None.

.. versionadded:: 0.20.0
"""
See Also
--------
DataFrame.to_string : Render a DataFrame to a console-friendly
tabular output.
DataFrame.to_html : Render a DataFrame as an HTML table.

@Substitution(header='Write out the column names. If a list of strings '
'is given, it is assumed to be aliases for the '
'column names.')
@Appender(_shared_docs['to_latex'] % _shared_doc_kwargs)
def to_latex(self, buf=None, columns=None, col_space=None, header=True,
index=True, na_rep='NaN', formatters=None, float_format=None,
sparsify=None, index_names=True, bold_rows=False,
column_format=None, longtable=None, escape=None,
encoding=None, decimal='.', multicolumn=None,
multicolumn_format=None, multirow=None):
Examples
--------
>>> df = pd.DataFrame({'name': ['Raphael', 'Donatello'],
... 'mask': ['red', 'purple'],
... 'weapon': ['sai', 'bo staff']})
>>> df.to_latex(index=False) # doctest: +NORMALIZE_WHITESPACE
'\\begin{tabular}{lll}\n\\toprule\n name & mask & weapon
\\\\\n\\midrule\n Raphael & red & sai \\\\\n Donatello &
purple & bo staff \\\\\n\\bottomrule\n\\end{tabular}\n'
"""
# Get defaults from the pandas config
if self.ndim == 1:
self = self.to_frame()
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