8000 Inconsistent indexes for tick label plotting by nrebena · Pull Request #28733 · pandas-dev/pandas · GitHub
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Inconsistent indexes for tick label plotting #28733

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Merged
merged 19 commits into from
Nov 21, 2020
Merged

Inconsistent indexes for tick label plotting #28733

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3699e11
TST: Test for issues #26186 and #11465
nrebena Oct 1, 2019
82a3110
BUG: Generate the tick position in BarPlot using convert tools from m…
nrebena Oct 1, 2019
c449d59
TST: Modify tests/plotting/test_frame.test_bar_categorical
nrebena Oct 1, 2019
a1d9a53
TST: Fix test for windows OS
nrebena Oct 1, 2019
383e7a4
TST: Add test for plotting MultiIndex bar plot
nrebena Oct 1, 2019
85881d1
BUG: Special case for MultiIndex bar plot
nrebena Oct 3, 2019
8661103
DOC: Add whatsnew entry for PR #28733
nrebena Oct 3, 2019
0ef2dd5
CLN: Clean up in code and doc
nrebena Oct 6, 2019
e22710a
CLN: Clean up test_bar_numeric
nrebena Nov 14, 2019
52cfacb
DOC Move to whatsnew v1.1
nrebena Feb 12, 2020
0ac15a0
FIX: Make tick dtype int for backwards compatibility
nrebena Feb 15, 2020
70683b8
DOC: Improve whatsnew message
nrebena Mar 15, 2020
3c8b54f
ENH: Add UserWarning when plotting bar plot with MultiIndex
nrebena Mar 15, 2020
28f06fc
CLN: Remove duplicate code line
nrebena Jun 13, 2020
c19ef4b
TST: Capture UserWarning for Bar plot with MultiIndex
nrebena Jun 13, 2020
a28db9c
TST: Improve test explanation
nrebena Jun 14, 2020
1e39ad9
ENH: Raise UserWarning only if redrawing on existing axis with data
nrebena Jun 14, 2020
23635d4
DOC: Move to whatsnew v1.2.9
nrebena Sep 12, 2020
9593256
Merge remote-tracking branch 'upstream/master' into pr/nrebena-issue_…
MarcoGorelli Nov 21, 2020
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TST: Fix test for windows OS
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@nrebena
nrebena committed Sep 12, 2020
commit a1d9a538c889589f9054d8723e91c7f6897da3ab
2 changes: 1 addition & 1 deletion pandas/tests/plotting/test_frame.py
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Expand Up @@ -3472,7 +3472,7 @@ def test_bar_numeric(self):
# Bar plot with numeric index have tick location values equal to index
# values
# GH: 11465
index = np.arange(10, 20)
index = np.arange(10, 20, dtype=np.int64)
df = pd.DataFrame(np.random.rand(10), index=np.arange(10, 20))
ax = df.plot.bar()
ticklocs = ax.xaxis.get_ticklocs()
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