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MNT/ENH: make hist and friends more forgiving of array-like #27714

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14 changes: 9 additions & 5 deletions lib/matplotlib/cbook.py
Original file line number Diff line number Diff line change
Expand Up @@ -1411,13 +1411,17 @@ def _reshape_2D(X, name):
*name* is used to generate the error message for invalid inputs.
"""

# Unpack in case of e.g. Pandas or xarray object
X = _unpack_to_numpy(X)

# Iterate over columns for ndarrays.
if isinstance(X, np.ndarray):
if hasattr(X, 'iloc'):
# probably pandas...
# return each column as a separate list element
if X.ndim == 1:
return [np.array(X)]
elif X.ndim == 2:
return [np.array(X.iloc[:, i]) for i in range(X.shape[1])]

if hasattr(X, 'T') and hasattr(X, 'ndim'):
X = X.T

if len(X) == 0:
return [[]]
elif X.ndim == 1 and np.ndim(X[0]) == 0:
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10 changes: 10 additions & 0 deletions lib/matplotlib/tests/test_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -6751,6 +6751,16 @@ def test_pandas_indexing_hist(pd):
ax.hist(ser_2)


def test_pandas_hist2D(pd):
np.random.seed(19680801)
x0 = np.random.randn(200, 3)
df = pd.DataFrame(x0, columns=["a", "b", "c"])
fig, ax = plt.subplots()
tops = ax.hist(df)
# one list of hist values for each column:
assert tops[0].shape[0] == 3


def test_pandas_bar_align_center(pd):
# Tests fix for issue 8767
df = pd.DataFrame({'a': range(2), 'b': range(2)})
Expand Down
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