pandas.io.formats.style.Styler.to_latex

Styler.to_latex(buf=None, *, column_format=None, position=None, position_float=None, hrules=False, label=None, caption=None, sparse_index=None, sparse_columns=None, multirow_align='c', multicol_align='r', siunitx=False, encoding=None, convert_css=False)[source]

Write Styler to a file, buffer or string in LaTeX format.

New in version 1.3.0.

Parameters
bufstr, Path, or StringIO-like, optional, default None

Buffer to write to. If None, the output is returned as a string.

column_formatstr, optional

The LaTeX column specification placed in location:

\begin{tabular}{<column_format>}

Defaults to ‘l’ for index and non-numeric data columns, and, for numeric data columns, to ‘r’ by default, or ‘S’ if siunitx is True.

positionstr, optional

The LaTeX positional argument (e.g. ‘h!’) for tables, placed in location:

\begin{table}[<position>]

position_float{“centering”, “raggedleft”, “raggedright”}, optional

The LaTeX float command placed in location:

\begin{table}[<position>]

\<position_float>

hrulesbool, default False

Set to True to add \toprule, \midrule and \bottomrule from the {booktabs} LaTeX package.

labelstr, optional

The LaTeX label included as: \label{<label>}. This is used with \ref{<label>} in the main .tex file.

captionstr, tuple, optional

If string, the LaTeX table caption included as: \caption{<caption>}. If tuple, i.e (“full caption”, “short caption”), the caption included as: \caption[<caption[1]>]{<caption[0]>}.

sparse_indexbool, optional

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. Defaults to pandas.options.styler.sparse.index value.

sparse_columnsbool, optional

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. Defaults to pandas.options.styler.sparse.columns value.

multirow_align{“c”, “t”, “b”}

If sparsifying hierarchical MultiIndexes whether to align text centrally, at the top or bottom.

multicol_align{“r”, “c”, “l”}

If sparsifying hierarchical MultiIndex columns whether to align text at the left, centrally, or at the right.

siunitxbool, default False

Set to True to structure LaTeX compatible with the {siunitx} package.

encodingstr, default “utf-8”

Character encoding setting.

convert_cssbool, default False

Convert simple cell-styles from CSS to LaTeX format. Any CSS not found in conversion table is dropped. A style can be forced by adding option –latex. See notes.

Returns
str or None

If buf is None, returns the result as a string. Otherwise returns None.

See also

Styler.format

Format the text display value of cells.

Notes

Latex Packages

For the following features we recommend the following LaTeX inclusions:

Feature

Inclusion

sparse columns

none: included within default {tabular} environment

sparse rows

\usepackage{multirow}

hrules

\usepackage{booktabs}

colors

\usepackage[table]{xcolor}

siunitx

\usepackage{siunitx}

bold (with siunitx)
\usepackage{etoolbox}
\robustify\bfseries
\sisetup{detect-all = true} (within {document})

italic (with siunitx)
\usepackage{etoolbox}
\robustify\itshape
\sisetup{detect-all = true} (within {document})

Cell Styles

LaTeX styling can only be rendered if the accompanying styling functions have been constructed with appropriate LaTeX commands. All styling functionality is built around the concept of a CSS (<attribute>, <value>) pair (see Table Visualization), and this should be replaced by a LaTeX (<command>, <options>) approach. Each cell will be styled individually using nested LaTeX commands with their accompanied options.

For example the following code will highlight and bold a cell in HTML-CSS:

>>> df = pd.DataFrame([[1,2], [3,4]])
>>> s = df.style.highlight_max(axis=None,
...                            props='background-color:red; font-weight:bold;')
>>> s.render()

The equivalent using LaTeX only commands is the following:

>>> s = df.style.highlight_max(axis=None,
...                            props='cellcolor:{red}; bfseries: ;')
>>> s.to_latex()

Internally these structured LaTeX (<command>, <options>) pairs are translated to the display_value with the default structure: \<command><options> <display_value>. Where there are multiple commands the latter is nested recursively, so that the above example highlighed cell is rendered as \cellcolor{red} \bfseries 4.

Occasionally this format does not suit the applied command, or combination of LaTeX packages that is in use, so additional flags can be added to the <options>, within the tuple, to result in different positions of required braces (the default being the same as --nowrap):

Tuple Format

Output Structure

(<command>,<options>)

\<command><options> <display_value>

(<command>,<options> --nowrap)

\<command><options> <display_value>

(<command>,<options> --rwrap)

\<command><options>{<display_value>}

(<command>,<options> --wrap)

{\<command><options> <display_value>}

(<command>,<options> --lwrap)

{\<command><options>} <display_value>

(<command>,<options> --dwrap)

{\<command><options>}{<display_value>}

For example the textbf command for font-weight should always be used with –rwrap so ('textbf', '--rwrap') will render a working cell, wrapped with braces, as \textbf{<display_value>}.

A more comprehensive example is as follows:

>>> df = pd.DataFrame([[1, 2.2, "dogs"], [3, 4.4, "cats"], [2, 6.6, "cows"]],
...                   index=["ix1", "ix2", "ix3"],
...                   columns=["Integers", "Floats", "Strings"])
>>> s = df.style.highlight_max(
...     props='cellcolor:[HTML]{FFFF00}; color:{red};'
...           'textit:--rwrap; textbf:--rwrap;'
... )
>>> s.to_latex()
../../_images/latex_1.png

Table Styles

Internally Styler uses its table_styles object to parse the column_format, position, position_float, and label input arguments. These arguments are added to table styles in the format:

set_table_styles([
    {"selector": "column_format", "props": f":{column_format};"},
    {"selector": "position", "props": f":{position};"},
    {"selector": "position_float", "props": f":{position_float};"},
    {"selector": "label", "props": f":{{{label.replace(':','§')}}};"}
], overwrite=False)

Exception is made for the hrules argument which, in fact, controls all three commands: toprule, bottomrule and midrule simultaneously. Instead of setting hrules to True, it is also possible to set each individual rule definition, by manually setting the table_styles, for example below we set a regular toprule, set an hline for bottomrule and exclude the midrule:

set_table_styles([
    {'selector': 'toprule', 'props': ':toprule;'},
    {'selector': 'bottomrule', 'props': ':hline;'},
], overwrite=False)

If other commands are added to table styles they will be detected, and positioned immediately above the ‘\begin{tabular}’ command. For example to add odd and even row coloring, from the {colortbl} package, in format \rowcolors{1}{pink}{red}, use:

set_table_styles([
    {'selector': 'rowcolors', 'props': ':{1}{pink}{red};'}
], overwrite=False)

A more comprehensive example using these arguments is as follows:

>>> df.columns = pd.MultiIndex.from_tuples([
...     ("Numeric", "Integers"),
...     ("Numeric", "Floats"),
...     ("Non-Numeric", "Strings")
... ])
>>> df.index = pd.MultiIndex.from_tuples([
...     ("L0", "ix1"), ("L0", "ix2"), ("L1", "ix3")
... ])
>>> s = df.style.highlight_max(
...     props='cellcolor:[HTML]{FFFF00}; color:{red}; itshape:; bfseries:;'
... )
>>> s.to_latex(
...     column_format="rrrrr", position="h", position_float="centering",
...     hrules=True, label="table:5", caption="Styled LaTeX Table",
...     multirow_align="t", multicol_align="r"
... )
../../_images/latex_2.png

Formatting

To format values Styler.format() should be used prior to calling Styler.to_latex, as well as other methods such as Styler.hide_index() or Styler.hide_columns(), for example:

>>> s.clear()
>>> s.table_styles = []
>>> s.caption = None
>>> s.format({
...    ("Numeric", "Integers"): '\${}',
...    ("Numeric", "Floats"): '{:.3f}',
...    ("Non-Numeric", "Strings"): str.upper
... })
>>> s.to_latex()
\begin{tabular}{llrrl}
{} & {} & \multicolumn{2}{r}{Numeric} & {Non-Numeric} \\
{} & {} & {Integers} & {Floats} & {Strings} \\
\multirow[c]{2}{*}{L0} & ix1 & \\$1 & 2.200 & DOGS \\
 & ix2 & \$3 & 4.400 & CATS \\
L1 & ix3 & \$2 & 6.600 & COWS \\
\end{tabular}

CSS Conversion

This method can convert a Styler constructured with HTML-CSS to LaTeX using the following limited conversions.

CSS Attribute

CSS value

LaTeX Command

LaTeX Options

font-weight
bold
bolder
bfseries
bfseries

font-style
italic
oblique
itshape
slshape

background-color
red
#fe01ea
#f0e
rgb(128,255,0)
rgba(128,0,0,0.5)
rgb(25%,255,50%)

cellcolor
{red}–lwrap
[HTML]{FE01EA}–lwrap
[HTML]{FF00EE}–lwrap
[rgb]{0.5,1,0}–lwrap
[rgb]{0.5,0,0}–lwrap
[rgb]{0.25,1,0.5}–lwrap

color
red
#fe01ea
#f0e
rgb(128,255,0)
rgba(128,0,0,0.5)
rgb(25%,255,50%)

color
{red}
[HTML]{FE01EA}
[HTML]{FF00EE}
[rgb]{0.5,1,0}
[rgb]{0.5,0,0}
[rgb]{0.25,1,0.5}

It is also possible to add user-defined LaTeX only styles to a HTML-CSS Styler using the --latex flag, and to add LaTeX parsing options that the converter will detect within a CSS-comment.

>>> df = pd.DataFrame([[1]])
>>> df.style.set_properties(
...     **{"font-weight": "bold /* --dwrap */", "Huge": "--latex--rwrap"}
... ).to_latex(css_convert=True)
\begin{tabular}{lr}
{} & {0} \\
0 & {\bfseries}{\Huge{1}} \\
\end{tabular}
pandas.DataFrame.to_latex pandas.read_hdf