diff --git a/lib/matplotlib/cbook/__init__.py b/lib/matplotlib/cbook/__init__.py
index 9f2a75ce3df0..2722b6c8a3be 100644
--- a/lib/matplotlib/cbook/__init__.py
+++ b/lib/matplotlib/cbook/__init__.py
@@ -1300,47 +1300,13 @@ def _to_unmasked_float_array(x):
def _check_1d(x):
"""Convert scalars to 1D arrays; pass-through arrays as is."""
+ if hasattr(x, 'to_numpy'):
+ # if we are given an object that creates a numpy, we should use it...
+ x = x.to_numpy()
if not hasattr(x, 'shape') or len(x.shape) < 1:
return np.atleast_1d(x)
else:
- try:
- # work around
- # https://github.com/pandas-dev/pandas/issues/27775 which
- # means the shape of multi-dimensional slicing is not as
- # expected. That this ever worked was an unintentional
- # quirk of pandas and will raise an exception in the
- # future. This slicing warns in pandas >= 1.0rc0 via
- # https://github.com/pandas-dev/pandas/pull/30588
- #
- # < 1.0rc0 : x[:, None].ndim == 1, no warning, custom type
- # >= 1.0rc1 : x[:, None].ndim == 2, warns, numpy array
- # future : x[:, None] -> raises
- #
- # This code should correctly identify and coerce to a
- # numpy array all pandas versions.
- with warnings.catch_warnings(record=True) as w:
- warnings.filterwarnings(
- "always",
- category=Warning,
- message='Support for multi-dimensional indexing')
-
- ndim = x[:, None].ndim
- # we have definitely hit a pandas index or series object
- # cast to a numpy array.
- if len(w) > 0:
- return np.asanyarray(x)
- # We have likely hit a pandas object, or at least
- # something where 2D slicing does not result in a 2D
- # object.
- if ndim < 2:
- return np.atleast_1d(x)
- return x
- # In pandas 1.1.0, multidimensional indexing leads to an
- # AssertionError for some Series objects, but should be
- # IndexError as described in
- # https://github.com/pandas-dev/pandas/issues/35527
- except (AssertionError, IndexError, TypeError):
- return np.atleast_1d(x)
+ return x
def _reshape_2D(X, name):
@@ -1649,7 +1615,7 @@ def index_of(y):
The x and y values to plot.
"""
try:
- return y.index.values, y.values
+ return y.index.to_numpy(), y.to_numpy()
except AttributeError:
pass
try:
diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index cc93bfae4976..204e3cbd984f 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -1762,11 +1762,15 @@ def test_bar_hatches(fig_test, fig_ref):
def test_pandas_minimal_plot(pd):
# smoke test that series and index objcets do not warn
- x = pd.Series([1, 2], dtype="float64")
- plt.plot(x, x)
- plt.plot(x.index, x)
- plt.plot(x)
- plt.plot(x.index)
+ for x in [pd.Series([1, 2], dtype="float64"),
+ pd.Series([1, 2], dtype="Float64")]:
+ plt.plot(x, x)
+ plt.plot(x.index, x)
+ plt.plot(x)
+ plt.plot(x.index)
+ df = pd.DataFrame({'col': [1, 2, 3]})
+ plt.plot(df)
+ plt.plot(df, df)
@image_comparison(['hist_log'], remove_text=True)
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