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CI: Unpin matplotlib (pandas-dev#51990)
1 parent 42273e9 commit cc3b500

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-28
lines changed

‎ci/deps/actions-310.yaml

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@@ -32,7 +32,7 @@ dependencies:
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- gcsfs>=2022.05.0
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- jinja2>=3.1.2
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- lxml>=4.8.0
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- matplotlib>=3.6.1, <3.7.0
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- matplotlib>=3.6.1
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- numba>=0.55.2
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- numexpr>=2.8.0
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- odfpy>=1.4.1

‎ci/deps/actions-311.yaml

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@@ -32,7 +32,7 @@ dependencies:
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- gcsfs>=2022.05.0
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- jinja2>=3.1.2
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- lxml>=4.8.0
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- matplotlib>=3.6.1, <3.7.0
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- matplotlib>=3.6.1
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# - numba>=0.55.2 not compatible with 3.11
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- numexpr>=2.8.0
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- odfpy>=1.4.1

‎ci/deps/actions-38-downstream_compat.yaml

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@@ -33,7 +33,7 @@ dependencies:
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- gcsfs>=2022.05.0
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- jinja2>=3.1.2
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- lxml>=4.8.0
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- matplotlib>=3.6.1, <3.7.0
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- matplotlib>=3.6.1
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- numba>=0.55.2
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- numexpr>=2.8.0
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- odfpy>=1.4.1

‎ci/deps/actions-38.yaml

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@@ -32,7 +32,7 @@ dependencies:
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- gcsfs>=2022.05.0
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- jinja2>=3.1.2
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- lxml>=4.8.0
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- matplotlib>=3.6.1, <3.7.0
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- matplotlib>=3.6.1
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- numba>=0.55.2
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- numexpr>=2.8.0
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- odfpy>=1.4.1

‎ci/deps/actions-39.yaml

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@@ -32,7 +32,7 @@ dependencies:
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- gcsfs>=2022.05.0
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- jinja2>=3.1.2
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- lxml>=4.8.0
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- matplotlib>=3.6.1, <3.7.0
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- matplotlib>=3.6.1
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- numba>=0.55.2
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- numexpr>=2.8.0
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- odfpy>=1.4.1

‎ci/deps/circle-38-arm64.yaml

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@@ -32,7 +32,7 @@ dependencies:
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- gcsfs>=2022.05.0
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- jinja2>=3.1.2
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- lxml>=4.8.0
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- matplotlib>=3.6.1, <3.7.0
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- matplotlib>=3.6.1
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- numba>=0.55.2
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- numexpr>=2.8.0
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- odfpy>=1.4.1

‎environment.yml

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@@ -35,7 +35,7 @@ dependencies:
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- ipython
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- jinja2>=3.1.2
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- lxml>=4.8.0
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- matplotlib>=3.6.1, <3.7.0
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- matplotlib>=3.6.1
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- numba>=0.55.2
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- numexpr>=2.8.0 # pin for "Run checks on imported code" job
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- openpyxl<3.1.1, >=3.0.7

‎pandas/plotting/_core.py

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@@ -393,7 +393,7 @@ def hist_frame(
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>>> boxplot = df.boxplot(column=['Col1', 'Col2'], return_type='axes')
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>>> type(boxplot)
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<class 'matplotlib.axes._subplots.AxesSubplot'>
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<class 'matplotlib.axes._axes.Axes'>
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When grouping with ``by``, a Series mapping columns to ``return_type``
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is returned:

‎pandas/plotting/_misc.py

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@@ -143,22 +143,15 @@ def scatter_matrix(
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>>> df = pd.DataFrame(np.random.randn(1000, 4), columns=['A','B','C','D'])
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>>> pd.plotting.scatter_matrix(df, alpha=0.2)
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array([[<AxesSubplot: xlabel='A', ylabel='A'>,
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<AxesSubplot: xlabel='B', ylabel='A'>,
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<AxesSubplot: xlabel='C', ylabel='A'>,
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<AxesSubplot: xlabel='D', ylabel='A'>],
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[<AxesSubplot: xlabel='A', ylabel='B'>,
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<AxesSubplot: xlabel='B', ylabel='B'>,
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<AxesSubplot: xlabel='C', ylabel='B'>,
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<AxesSubplot: xlabel='D', ylabel='B'>],
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[<AxesSubplot: xlabel='A', ylabel='C'>,
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<AxesSubplot: xlabel='B', ylabel='C'>,
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<AxesSubplot: xlabel='C', ylabel='C'>,
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<AxesSubplot: xlabel='D', ylabel='C'>],
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[<AxesSubplot: xlabel='A', ylabel='D'>,
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<AxesSubplot: xlabel='B', ylabel='D'>,
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<AxesSubplot: xlabel='C', ylabel='D'>,
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<AxesSubplot: xlabel='D', ylabel='D'>]], dtype=object)
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array([[<Axes: xlabel='A', ylabel='A'>, <Axes: xlabel='B', ylabel='A'>,
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<Axes: xlabel='C', ylabel='A'>, <Axes: xlabel='D', ylabel='A'>],
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[<Axes: xlabel='A', ylabel='B'>, <Axes: xlabel='B', ylabel='B'>,
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<Axes: xlabel='C', ylabel='B'>, <Axes: xlabel='D', ylabel='B'>],
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[<Axes: xlabel='A', ylabel='C'>, <Axes: xlabel='B', ylabel='C'>,
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<Axes: xlabel='C', ylabel='C'>, <Axes: xlabel='D', ylabel='C'>],
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[<Axes: xlabel='A', ylabel='D'>, <Axes: xlabel='B', ylabel='D'>,
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<Axes: xlabel='C', ylabel='D'>, <Axes: xlabel='D', ylabel='D'>]],
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dtype=object)
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"""
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plot_backend = _get_plot_backend("matplotlib")
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return plot_backend.scatter_matrix(
@@ -509,7 +502,7 @@ def lag_plot(series: Series, lag: int = 1, ax: Axes | None = None, **kwds) -> Ax
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:context: close-figs
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>>> pd.plotting.lag_plot(s, lag=1)
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<AxesSubplot: xlabel='y(t)', ylabel='y(t + 1)'>
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<Axes: xlabel='y(t)', ylabel='y(t + 1)'>
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"""
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plot_backend = _get_plot_backend("matplotlib")
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return plot_backend.lag_plot(series=series, lag=lag, ax=ax, **kwds)

‎pandas/tests/plotting/test_series.py

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@@ -456,8 +456,8 @@ def test_df_series_secondary_legend(self):
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)
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def test_secondary_logy(self, input_logy, expected_scale):
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# GH 25545
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s1 = Series(np.random.randn(30))
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s2 = Series(np.random.randn(30))
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s1 = Series(np.random.randn(100))
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s2 = Series(np.random.randn(100))
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# GH 24980
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ax1 = s1.plot(logy=input_logy)

‎requirements-dev.txt

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@@ -24,7 +24,7 @@ gcsfs>=2022.05.0
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ipython
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jinja2>=3.1.2
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lxml>=4.8.0
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matplotlib>=3.6.1, <3.7.0
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matplotlib>=3.6.1
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numba>=0.55.2
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numexpr>=2.8.0
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openpyxl<3.1.1, >=3.0.7

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