fixup

Author: MarcoGorelli

.pre-commit-config.yaml

@@ -19,14 +19,14 @@ repos:
         types_or: [python, rst, markdown]
         files: ^(pandas|doc)/
 -   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v3.4.0
+    rev: v4.0.1
     hooks:
     -   id: debug-statements
     -   id: end-of-file-fixer
         exclude: \.txt$
     -   id: trailing-whitespace
 -   repo: https://github.com/cpplint/cpplint
-    rev: f7061b1 # the latest tag does not have the hook
+    rev: 1.5.5
     hooks:
     -   id: cpplint
         # We don't lint all C files because we don't want to lint any that are built
@@ -57,7 +57,7 @@ repos:
     hooks:
     -   id: isort
 -   repo: https://github.com/asottile/pyupgrade
-    rev: v2.12.0
+    rev: v2.18.3
     hooks:
     -   id: pyupgrade
         args: [--py37-plus]
@@ -72,7 +72,7 @@ repos:
         types: [text]  # overwrite types: [rst]
         types_or: [python, rst]
 -   repo: https://github.com/asottile/yesqa
-    rev: v1.2.2
+    rev: v1.2.3
     hooks:
     -   id: yesqa
         additional_dependencies:

ci/deps/actions-38-numpydev.yaml

@@ -12,7 +12,7 @@ dependencies:
 
   # pandas dependencies
   - pytz
-  - pip=20.2
+  - pip
   - pip:
     - cython==0.29.21 # GH#34014
     - "git+git://github.com/dateutil/dateutil.git"

doc/source/_static/style/tg_ax0.png

@@ -56,6 +56,7 @@ Builtin styles
    Styler.highlight_min
    Styler.highlight_between
    Styler.background_gradient
+   Styler.text_gradient
    Styler.bar
 
 Style export and import

doc/source/_static/style/tg_axNone.png

@@ -1000,6 +1000,7 @@ instance method on each data group. This is pretty easy to do by passing lambda
 functions:
 
 .. ipython:: python
+   :okwarning:
 
    grouped = df.groupby("A")
    grouped.agg(lambda x: x.std())
@@ -1009,6 +1010,7 @@ arguments. Using a bit of metaprogramming cleverness, GroupBy now has the
 ability to "dispatch" method calls to the groups:
 
 .. ipython:: python
+   :okwarning:
 
    grouped.std()
 

doc/source/_static/style/tg_axNone_gmap.png

@@ -22,6 +22,7 @@ The pandas I/O API is a set of top level ``reader`` functions accessed like
     text;Fixed-Width Text File;:ref:`read_fwf<io.fwf_reader>`
     text;`JSON <https://www.json.org/>`__;:ref:`read_json<io.json_reader>`;:ref:`to_json<io.json_writer>`
     text;`HTML <https://en.wikipedia.org/wiki/HTML>`__;:ref:`read_html<io.read_html>`;:ref:`to_html<io.html>`
+    text;`LaTeX <https://en.wikipedia.org/wiki/LaTeX>`__;;:ref:`Styler.to_latex<io.latex>`
     text;`XML <https://www.w3.org/standards/xml/core>`__;:ref:`read_xml<io.read_xml>`;:ref:`to_xml<io.xml>`
     text; Local clipboard;:ref:`read_clipboard<io.clipboard>`;:ref:`to_clipboard<io.clipboard>`
     binary;`MS Excel <https://en.wikipedia.org/wiki/Microsoft_Excel>`__;:ref:`read_excel<io.excel_reader>`;:ref:`to_excel<io.excel_writer>`
@@ -1896,7 +1897,7 @@ Writing in ISO date format:
 
    dfd = pd.DataFrame(np.random.randn(5, 2), columns=list("AB"))
    dfd["date"] = pd.Timestamp("20130101")
-   dfd = dfd.sort_index(1, ascending=False)
+   dfd = dfd.sort_index(axis=1, ascending=False)
    json = dfd.to_json(date_format="iso")
    json
 
@@ -2830,7 +2831,42 @@ parse HTML tables in the top-level pandas io function ``read_html``.
 .. |lxml| replace:: **lxml**
 .. _lxml: https://lxml.de
 
+.. _io.latex:
 
+LaTeX
+-----
+
+.. versionadded:: 1.3.0
+
+Currently there are no methods to read from LaTeX, only output methods.
+
+Writing to LaTeX files
+''''''''''''''''''''''
+
+.. note::
+
+   DataFrame *and* Styler objects currently have a ``to_latex`` method. We recommend
+   using the `Styler.to_latex() <../reference/api/pandas.io.formats.style.Styler.to_latex.rst>`__ method
+   over `DataFrame.to_latex() <../reference/api/pandas.DataFrame.to_latex.rst>`__ due to the former's greater flexibility with
+   conditional styling, and the latter's possible future deprecation.
+
+Review the documentation for `Styler.to_latex <../reference/api/pandas.io.formats.style.Styler.to_latex.rst>`__,
+which gives examples of conditional styling and explains the operation of its keyword
+arguments.
+
+For simple application the following pattern is sufficient.
+
+.. ipython:: python
+
+   df = pd.DataFrame([[1, 2], [3, 4]], index=["a", "b"], columns=["c", "d"])
+   print(df.style.to_latex())
+
+To format values before output, chain the `Styler.format <../reference/api/pandas.io.formats.style.Styler.format.rst>`__
+method.
+
+.. ipython:: python
+
+   print(df.style.format("€ {}").to_latex())
 
 XML
 ---
@@ -3648,15 +3684,6 @@ one can pass an :class:`~pandas.io.excel.ExcelWriter`.
        df1.to_excel(writer, sheet_name="Sheet1")
        df2.to_excel(writer, sheet_name="Sheet2")
 
-.. note::
-
-    Wringing a little more performance out of ``read_excel``
-    Internally, Excel stores all numeric data as floats. Because this can
-    produce unexpected behavior when reading in data, pandas defaults to trying
-    to convert integers to floats if it doesn't lose information (``1.0 -->
-    1``).  You can pass ``convert_float=False`` to disable this behavior, which
-    may give a slight performance improvement.
-
 .. _io.excel_writing_buffer:
 
 Writing Excel files to memory

doc/source/_static/style/tg_axNone_lowhigh.png

@@ -1012,7 +1012,8 @@
     " - [.highlight_min][minfunc] and [.highlight_max][maxfunc]: for use with identifying extremeties in data.\n",
     " - [.highlight_between][betweenfunc] and [.highlight_quantile][quantilefunc]: for use with identifying classes within data.\n",
     " - [.background_gradient][bgfunc]: a flexible method for highlighting cells based or their, or other, values on a numeric scale.\n",
-    " -  [.bar][barfunc]: to display mini-charts within cell backgrounds.\n",
+    " - [.text_gradient][textfunc]: similar method for highlighting text based on their, or other, values on a numeric scale.\n",
+    " - [.bar][barfunc]: to display mini-charts within cell backgrounds.\n",
     " \n",
     "The individual documentation on each function often gives more examples of their arguments.\n",
     "\n",
@@ -1022,6 +1023,7 @@
     "[betweenfunc]: ../reference/api/pandas.io.formats.style.Styler.highlight_between.rst\n",
     "[quantilefunc]: ../reference/api/pandas.io.formats.style.Styler.highlight_quantile.rst\n",
     "[bgfunc]: ../reference/api/pandas.io.formats.style.Styler.background_gradient.rst\n",
+    "[textfunc]: ../reference/api/pandas.io.formats.style.Styler.text_gradient.rst\n",
     "[barfunc]: ../reference/api/pandas.io.formats.style.Styler.bar.rst"
    ]
   },
@@ -1098,14 +1100,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Background Gradient"
+    "### Background Gradient and Text Gradient"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "You can create \"heatmaps\" with the `background_gradient` method. These require matplotlib, and we'll use [Seaborn](https://stanford.edu/~mwaskom/software/seaborn/) to get a nice colormap."
+    "You can create \"heatmaps\" with the `background_gradient` and `text_gradient` methods. These require matplotlib, and we'll use [Seaborn](https://stanford.edu/~mwaskom/software/seaborn/) to get a nice colormap."
    ]
   },
   {
@@ -1120,19 +1122,31 @@
     "df2.style.background_gradient(cmap=cm)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df2.style.text_gradient(cmap=cm)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[.background_gradient][bgfunc] has a number of keyword arguments to customise the gradients and colors. See its documentation.\n",
+    "[.background_gradient][bgfunc] and [.text_gradient][textfunc] have a number of keyword arguments to customise the gradients and colors. See the documentation.\n",
     "\n",
-    "[bgfunc]: ../reference/api/pandas.io.formats.style.Styler.background_gradient.rst"
+    "[bgfunc]: ../reference/api/pandas.io.formats.style.Styler.background_gradient.rst\n",
+    "[textfunc]: ../reference/api/pandas.io.formats.style.Styler.text_gradient.rst"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "### Set properties\n",
+    "\n",
     "Use `Styler.set_properties` when the style doesn't actually depend on the values. This is just a simple wrapper for `.applymap` where the function returns the same properties for all cells."
    ]
   },