Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

DOC: fix PR02 errors in docstring for pandas.core.groupby.DataFrameGroupBy.hist #57304

Merged
merged 3 commits into from
Feb 9, 2024
Merged
Show file tree
Hide file tree
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 0 additions & 1 deletion ci/code_checks.sh
Original file line number Diff line number Diff line change
Expand Up @@ -141,7 +141,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.core.groupby.DataFrameGroupBy.rolling\
pandas.core.groupby.SeriesGroupBy.nth\
pandas.core.groupby.SeriesGroupBy.rolling\
pandas.core.groupby.DataFrameGroupBy.hist\
pandas.core.groupby.DataFrameGroupBy.plot\
pandas.core.groupby.SeriesGroupBy.plot # There should be no backslash in the final line, please keep this comment in the last ignored function
RET=$(($RET + $?)) ; echo $MSG "DONE"
Expand Down
87 changes: 86 additions & 1 deletion pandas/core/groupby/generic.py
Original file line number Diff line number Diff line change
Expand Up @@ -2495,7 +2495,6 @@ def cov(
)
return result

@doc(DataFrame.hist.__doc__)
def hist(
self,
column: IndexLabel | None = None,
Expand All @@ -2515,6 +2514,92 @@ def hist(
legend: bool = False,
**kwargs,
):
"""
Make a histogram of the DataFrame's columns.

A `histogram`_ is a representation of the distribution of data.
This function calls :meth:`matplotlib.pyplot.hist`, on each series in
the DataFrame, resulting in one histogram per column.

.. _histogram: https://en.wikipedia.org/wiki/Histogram

Parameters
----------
column : str or sequence, optional
If passed, will be used to limit data to a subset of columns.
by : object, optional
If passed, then used to form histograms for separate groups.
grid : bool, default True
Whether to show axis grid lines.
xlabelsize : int, default None
If specified changes the x-axis label size.
xrot : float, default None
Rotation of x axis labels. For example, a value of 90 displays the
x labels rotated 90 degrees clockwise.
ylabelsize : int, default None
If specified changes the y-axis label size.
yrot : float, default None
Rotation of y axis labels. For example, a value of 90 displays the
y labels rotated 90 degrees clockwise.
ax : Matplotlib axes object, default None
The axes to plot the histogram on.
sharex : bool, default True if ax is None else False
In case subplots=True, share x axis and set some x axis labels to
invisible; defaults to True if ax is None otherwise False if an ax
is passed in.
Note that passing in both an ax and sharex=True will alter all x axis
labels for all subplots in a figure.
sharey : bool, default False
In case subplots=True, share y axis and set some y axis labels to
invisible.
figsize : tuple, optional
The size in inches of the figure to create. Uses the value in
`matplotlib.rcParams` by default.
layout : tuple, optional
Tuple of (rows, columns) for the layout of the histograms.
bins : int or sequence, default 10
Number of histogram bins to be used. If an integer is given, bins + 1
bin edges are calculated and returned. If bins is a sequence, gives
bin edges, including left edge of first bin and right edge of last
bin. In this case, bins is returned unmodified.

backend : str, default None
Backend to use instead of the backend specified in the option
``plotting.backend``. For instance, 'matplotlib'. Alternatively, to
specify the ``plotting.backend`` for the whole session, set
``pd.options.plotting.backend``.

legend : bool, default False
Whether to show the legend.

**kwargs
All other plotting keyword arguments to be passed to
:meth:`matplotlib.pyplot.hist`.

Returns
-------
matplotlib.Axes or numpy.ndarray of them

See Also
--------
matplotlib.pyplot.hist : Plot a histogram using matplotlib.

Examples
--------
This example draws a histogram based on the length and width of
some animals, displayed in three bins

.. plot::
:context: close-figs

>>> data = {
... "length": [1.5, 0.5, 1.2, 0.9, 3],
... "width": [0.7, 0.2, 0.15, 0.2, 1.1],
... }
>>> index = ["pig", "rabbit", "duck", "chicken", "horse"]
>>> df = pd.DataFrame(data, index=index)
>>> hist = df.hist(bins=3)
jordan-d-murphy marked this conversation as resolved.
Show resolved Hide resolved
"""
result = self._op_via_apply(
"hist",
column=column,
Expand Down
Loading