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Backport PR #45228: DOC: comprehensive example of Styler.to_latex features (#45267)
Co-authored-by: JHM Darbyshire <24256554+attack68@users.noreply.github.com>
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‎doc/source/_static/style/latex_stocks.png

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‎doc/source/_static/style/latex_stocks_html.png

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‎pandas/io/formats/style.py

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@@ -835,6 +835,124 @@ def to_latex(
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{} & {0} \\
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0 & {\bfseries}{\Huge{1}} \\
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\end{tabular}
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Examples
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--------
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Below we give a complete step by step example adding some advanced features
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and noting some common gotchas.
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First we create the DataFrame and Styler as usual, including MultiIndex rows
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and columns, which allow for more advanced formatting options:
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>>> cidx = pd.MultiIndex.from_arrays([
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... ["Equity", "Equity", "Equity", "Equity",
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... "Stats", "Stats", "Stats", "Stats", "Rating"],
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... ["Energy", "Energy", "Consumer", "Consumer", "", "", "", "", ""],
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... ["BP", "Shell", "H&M", "Unilever",
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... "Std Dev", "Variance", "52w High", "52w Low", ""]
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... ])
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>>> iidx = pd.MultiIndex.from_arrays([
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... ["Equity", "Equity", "Equity", "Equity"],
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... ["Energy", "Energy", "Consumer", "Consumer"],
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... ["BP", "Shell", "H&M", "Unilever"]
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... ])
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>>> styler = pd.DataFrame([
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... [1, 0.8, 0.66, 0.72, 32.1678, 32.1678**2, 335.12, 240.89, "Buy"],
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... [0.8, 1.0, 0.69, 0.79, 1.876, 1.876**2, 14.12, 19.78, "Hold"],
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... [0.66, 0.69, 1.0, 0.86, 7, 7**2, 210.9, 140.6, "Buy"],
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... [0.72, 0.79, 0.86, 1.0, 213.76, 213.76**2, 2807, 3678, "Sell"],
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... ], columns=cidx, index=iidx).style
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Second we will format the display and, since our table is quite wide, will
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hide the repeated level-0 of the index:
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>>> styler.format(subset="Equity", precision=2)
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... .format(subset="Stats", precision=1, thousands=",")
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... .format(subset="Rating", formatter=str.upper)
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... .format_index(escape="latex", axis=1)
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... .format_index(escape="latex", axis=0)
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... .hide(level=0, axis=0) # doctest: +SKIP
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Note that one of the string entries of the index and column headers is "H&M".
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Without applying the `escape="latex"` option to the `format_index` method the
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resultant LaTeX will fail to render, and the error returned is quite
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difficult to debug. Using the appropriate escape the "&" is converted to "\\&".
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Thirdly we will apply some (CSS-HTML) styles to our object. We will use a
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builtin method and also define our own method to highlight the stock
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recommendation:
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>>> def rating_color(v):
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... if v == "Buy": color = "#33ff85"
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... elif v == "Sell": color = "#ff5933"
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... else: color = "#ffdd33"
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... return f"color: {color}; font-weight: bold;"
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>>> styler.background_gradient(cmap="inferno", subset="Equity", vmin=0, vmax=1)
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... .applymap(rating_color, subset="Rating") # doctest: +SKIP
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All the above styles will work with HTML (see below) and LaTeX upon conversion:
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.. figure:: ../../_static/style/latex_stocks_html.png
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However, we finally want to add one LaTeX only style
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(from the {graphicx} package), that is not easy to convert from CSS and
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pandas does not support it. Notice the `--latex` flag used here,
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as well as `--rwrap` to ensure this is formatted correctly and
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not ignored upon conversion.
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>>> styler.applymap_index(
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... lambda v: "rotatebox:{45}--rwrap--latex;", level=2, axis=1
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... ) # doctest: +SKIP
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Finally we render our LaTeX adding in other options as required:
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>>> styler.to_latex(
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... caption="Selected stock correlation and simple statistics.",
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... clines="skip-last;data",
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... convert_css=True,
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... position_float="centering",
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... multicol_align="|c|",
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... hrules=True,
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... ) # doctest: +SKIP
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\begin{table}
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\centering
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\caption{Selected stock correlation and simple statistics.}
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\begin{tabular}{llrrrrrrrrl}
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\toprule
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& & \multicolumn{4}{|c|}{Equity} & \multicolumn{4}{|c|}{Stats} & Rating \\
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& & \multicolumn{2}{|c|}{Energy} & \multicolumn{2}{|c|}{Consumer} &
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\multicolumn{4}{|c|}{} & \\
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& & \rotatebox{45}{BP} & \rotatebox{45}{Shell} & \rotatebox{45}{H\&M} &
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\rotatebox{45}{Unilever} & \rotatebox{45}{Std Dev} & \rotatebox{45}{Variance} &
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\rotatebox{45}{52w High} & \rotatebox{45}{52w Low} & \rotatebox{45}{} \\
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\midrule
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\multirow[c]{2}{*}{Energy} & BP & {\cellcolor[HTML]{FCFFA4}}
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\color[HTML]{000000} 1.00 & {\cellcolor[HTML]{FCA50A}} \color[HTML]{000000}
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0.80 & {\cellcolor[HTML]{EB6628}} \color[HTML]{F1F1F1} 0.66 &
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{\cellcolor[HTML]{F68013}} \color[HTML]{F1F1F1} 0.72 & 32.2 & 1,034.8 & 335.1
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& 240.9 & \color[HTML]{33FF85} \bfseries BUY \\
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& Shell & {\cellcolor[HTML]{FCA50A}} \color[HTML]{000000} 0.80 &
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{\cellcolor[HTML]{FCFFA4}} \color[HTML]{000000} 1.00 &
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{\cellcolor[HTML]{F1731D}} \color[HTML]{F1F1F1} 0.69 &
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{\cellcolor[HTML]{FCA108}} \color[HTML]{000000} 0.79 & 1.9 & 3.5 & 14.1 &
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19.8 & \color[HTML]{FFDD33} \bfseries HOLD \\
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\cline{1-11}
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\multirow[c]{2}{*}{Consumer} & H\&M & {\cellcolor[HTML]{EB6628}}
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\color[HTML]{F1F1F1} 0.66 & {\cellcolor[HTML]{F1731D}} \color[HTML]{F1F1F1}
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0.69 & {\cellcolor[HTML]{FCFFA4}} \color[HTML]{000000} 1.00 &
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{\cellcolor[HTML]{FAC42A}} \color[HTML]{000000} 0.86 & 7.0 & 49.0 & 210.9 &
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140.6 & \color[HTML]{33FF85} \bfseries BUY \\
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& Unilever & {\cellcolor[HTML]{F68013}} \color[HTML]{F1F1F1} 0.72 &
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{\cellcolor[HTML]{FCA108}} \color[HTML]{000000} 0.79 &
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{\cellcolor[HTML]{FAC42A}} \color[HTML]{000000} 0.86 &
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{\cellcolor[HTML]{FCFFA4}} \color[HTML]{000000} 1.00 & 213.8 & 45,693.3 &
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2,807.0 & 3,678.0 & \color[HTML]{FF5933} \bfseries SELL \\
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\cline{1-11}
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\bottomrule
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\end{tabular}
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\end{table}
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.. figure:: ../../_static/style/latex_stocks.png
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"""
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obj = self._copy(deepcopy=True) # manipulate table_styles on obj, not self
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