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Sharey keyword for boxplot #20968

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Merged
merged 18 commits into from
Jun 8, 2018
Merged

Sharey keyword for boxplot #20968

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cb80356
Added keywords (sharex, sharey) to boxplot_frame_groupby and pass it …
sorenwacker May 5, 2018
8d822b0
Added documentation for new feature.
sorenwacker May 6, 2018
eb71a8e
Added tests for DataFrame.groupby().boxplot()'s sharex and sharey key…
sorenwacker May 9, 2018
dc7f3f5
Flake8 fixed
sorenwacker May 9, 2018
9cb994c
Removed the example from 0.23.0.txt and generated v0.23.1.txt
sorenwacker May 17, 2018
849105a
Merge branch 'master' of https://github.com/pandas-dev/pandas into sh…
sorenwacker May 18, 2018
64aac34
Added comment to Plotting
sorenwacker May 18, 2018
8dc0e9b
Added comment regarding new sharex, sharey feature of boxplot()
sorenwacker May 18, 2018
6bff510
Made tests for sharex, sharey keywords of boxplot shorter.
sorenwacker May 18, 2018
cfc0a5f
Formated docstring
sorenwacker May 19, 2018
6c0c324
Added blank lines between cases
sorenwacker May 29, 2018
e0a5515
added versionadded tag
sorenwacker May 29, 2018
6b4d371
reverted v0.23.0.txt
sorenwacker Jun 6, 2018
c1d5cab
Moved helper functions out of test cases; clarification of comments f…
sorenwacker Jun 6, 2018
26ef598
Moved helper functions out of test cases, and fixed them
sorenwacker Jun 6, 2018
42d7286
Moved helper functions to the top; clarified doc string
sorenwacker Jun 7, 2018
7a65d8a
Merge branch 'master' into PR_TOOL_MERGE_PR_20968
jreback Jun 8, 2018
fd76955
add sub-section highlites
jreback Jun 8, 2018
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42 changes: 42 additions & 0 deletions doc/source/whatsnew/v0.23.0.txt
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Expand Up @@ -898,6 +898,48 @@ yourself. To revert to the old setting, you can run this line:

pd.options.display.max_columns = 20

.. _whatsnew_0230.boxplot.sharexy:

Optional sharing of x/y-axis by pandas.DataFrame().groupby().boxplot()
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This isn't an API change, so we don't need this long of a release note. Probably a single line saying that boxplot now accepts the sharey keyword, and a link to a more detailed example in the docstring or plotting.rst

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I updated the docstring and the the part in v0.23.0.txt.

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Can you move this to 0.23.1.txt now?

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And I think the example can be trimmed down. I'd rather update the docstring for DataFrame.plot.box since that's a longer-term thing. The release note are for people checking changes. They'll see that it now supports sharey, and click through if interested.

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(:issue:`15184`)
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this file needs to be reverted


Previous Behavior:

.. code-block:: jupyter-notebook
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See the other examples in /pandas/plotting/_core.py for how these should be formatted.


%pylab inline
import pandas as pd

N = 100
rand = random.random(N)
clas = random.binomial(5,.5, N)
df = pd.DataFrame({'Rand': rand-clas,
'Rand2': rand,
'Class': clas},
index= np.arange(N))

df.groupby('Class').boxplot(sharey=True, sharex=False)
>>> TypeError: boxplot() got an unexpected keyword argument 'sharey'

Using boxplot with keywords sharex or sharey resulted in an error.

New Behavior:

.. ipython:: jpyter-notebook:

...

df.groupby('Class').boxplot(sharey=True, sharex=True)
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Won't need all of these. Probably just one will convey the point.

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Ok, 0.23.1.txt does not exist yet. When I fetch from upstream I don't receive it. Does that mean I should create that file? I thought I already removed the example. Not sure why it still there.

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@soerendip did you merge after fetching? The file is there already on master

df.groupby('Class').boxplot(sharey=True, sharex=False)
df.groupby('Class').boxplot(sharey=False, sharex=True)
df.groupby('Class').boxplot(sharey=False, sharex=False)

All leads to different behaviour. The shareing of axes both x and y
can be turned on and off separately.

To restore previous behavior, use boxplot() without keywords.

.. _whatsnew_0230.api.datetimelike:

Datetimelike API Changes
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4 changes: 2 additions & 2 deletions pandas/plotting/_core.py
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Expand Up @@ -2548,7 +2548,7 @@ def plot_group(group, ax):

def boxplot_frame_groupby(grouped, subplots=True, column=None, fontsize=None,
rot=0, grid=True, ax=None, figsize=None,
layout=None, **kwds):
layout=None, sharex=False, sharey=True, **kwds):
"""
Make box plots from DataFrameGroupBy data.

Expand Down Expand Up @@ -2598,7 +2598,7 @@ def boxplot_frame_groupby(grouped, subplots=True, column=None, fontsize=None,
if subplots is True:
naxes = len(grouped)
fig, axes = _subplots(naxes=naxes, squeeze=False,
ax=ax, sharex=False, sharey=True,
ax=ax, sharex=sharex, sharey=sharey,
figsize=figsize, layout=layout)
axes = _flatten(axes)

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58 changes: 58 additions & 0 deletions pandas/tests/plotting/test_frame.py
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Expand Up @@ -367,6 +367,64 @@ def test_subplots(self):
for ax in axes:
assert ax.get_legend() is None

def test_groupby_boxplot_sharey(self):
# https://github.com/pandas-dev/pandas/issues/9737 using gridspec,
# the axis in fig.get_axis() are sorted differently than pandas
# expected them, so make sure that only the right ones are removed

df = DataFrame({'a': [-1.43, -0.15, -3.70, -1.43, -0.14],
'b': [0.56, 0.84, 0.29, 0.56, 0.85],
'c': [0, 1, 2, 3, 1]},
index=[0, 1, 2, 3, 4])

# standart behavior
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standard

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what is 'standard' mean here, can you update the comment

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Done.

axes = df.groupby('c').boxplot()
self._check_visible(axes[0].get_yticklabels(), visible=True)
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These tests are a bit wordy. I wonder if the following is clear?

expected = pd.Series([True, False, True, False])
result = axes.apply(lambda ax: ax.yaxis.get_visible())
tm.assert_frame_equal(result, expected)

Is that the same? Do you find it clearer?

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I see where you want to go. Would this be acceptable? It uses a function that you might want somewhere else though in case you want to use it in other tests? Where would be a good position to put it?

def test_groupby_boxplot_sharex(self):

    def _assert_xtickslabels_visibility(axes, expected):
        for ax, exp in zip(axes, expected):
            self._check_visible(ax.get_xticklabels(), visible=exp)

    df = DataFrame({'a': [-1.43, -0.15, -3.70, -1.43, -0.14],
                    'b': [0.56, 0.84, 0.29, 0.56, 0.85],
                    'c': [0, 1, 2, 3, 1]},
                   index=[0, 1, 2, 3, 4])

    # standart behavior
    axes = df.groupby('c').boxplot()
    expected = [True, True, True, True]
    _assert_xtickslabels_visibility(axes, expected)
    # set sharex=False should be identical
    axes = df.groupby('c').boxplot(sharex=False)
    expected = [True, True, True, True]
    _assert_xtickslabels_visibility(axes, expected)        
    # sharex=True, xticklabels should be visible only for bottom plots
    axes = df.groupby('c').boxplot(sharex=True)
    expected = [False, False, True, True]
    _assert_xtickslabels_visibility(axes, expected)´

self._check_visible(axes[1].get_yticklabels(), visible=False)
self._check_visible(axes[2].get_yticklabels(), visible=True)
self._check_visible(axes[3].get_yticklabels(), visible=False)
# set sharey=True should be identical
axes = df.groupby('c').boxplot(sharey=True)
self._check_visible(axes[0].get_yticklabels(), visible=True)
self._check_visible(axes[1].get_yticklabels(), visible=False)
self._check_visible(axes[2].get_yticklabels(), visible=True)
self._check_visible(axes[3].get_yticklabels(), visible=False)
# sharey=False, all yticklabels should be visible
axes = df.groupby('c').boxplot(sharey=False)
self._check_visible(axes[0].get_yticklabels(), visible=True)
self._check_visible(axes[1].get_yticklabels(), visible=True)
self._check_visible(axes[2].get_yticklabels(), visible=True)
self._check_visible(axes[3].get_yticklabels(), visible=True)

def test_groupby_boxplot_sharex(self):
# https://github.com/pandas-dev/pandas/issues/9737 using gridspec,
# the axis in fig.get_axis() are sorted differently than pandas
# expected them, so make sure that only the right ones are removed

df = DataFrame({'a': [-1.43, -0.15, -3.70, -1.43, -0.14],
'b': [0.56, 0.84, 0.29, 0.56, 0.85],
'c': [0, 1, 2, 3, 1]},
index=[0, 1, 2, 3, 4])

# standart behavior
axes = df.groupby('c').boxplot()
self._check_visible(axes[0].get_xticklabels(), visible=True)
self._check_visible(axes[1].get_xticklabels(), visible=True)
self._check_visible(axes[2].get_xticklabels(), visible=True)
self._check_visible(axes[3].get_xticklabels(), visible=True)
# set sharex=False should be identical
axes = df.groupby('c').boxplot(sharex=False)
self._check_visible(axes[0].get_xticklabels(), visible=True)
self._check_visible(axes[1].get_xticklabels(), visible=True)
self._check_visible(axes[2].get_xticklabels(), visible=True)
self._check_visible(axes[3].get_xticklabels(), visible=True)
# sharex=True, yticklabels should be visible for bottom plots
axes = df.groupby('c').boxplot(sharex=True)
self._check_visible(axes[0].get_xticklabels(), visible=False)
self._check_visible(axes[1].get_xticklabels(), visible=False)
self._check_visible(axes[2].get_xticklabels(), visible=True)
self._check_visible(axes[3].get_xticklabels(), visible=True)

@pytest.mark.slow
def test_subplots_timeseries(self):
idx = date_range(start='2014-07-01', freq='M', periods=10)
Expand Down