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Fix for _axes.scatter() array index out of bound error #12673

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Nov 2, 2018
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5 changes: 3 additions & 2 deletions lib/matplotlib/axes/_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -4187,8 +4187,9 @@ def scatter(self, x, y, s=None, c=None, marker=None, cmap=None, norm=None,
if (c_none or
co is not None or
isinstance(c, str) or
(isinstance(c, collections.abc.Iterable) and
isinstance(c[0], str))):
(isinstance(c, collections.Iterable) and
len(c) > 0 and
isinstance(cbook.safe_first_element(c), str))):
c_array = None
else:
try: # First, does 'c' look suitable for value-mapping?
Expand Down
17 changes: 16 additions & 1 deletion lib/matplotlib/tests/test_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -5828,7 +5828,7 @@ def test_spines_properbbox_after_zoom():
bb = ax.spines['bottom'].get_window_extent(fig.canvas.get_renderer())
# this is what zoom calls:
ax._set_view_from_bbox((320, 320, 500, 500), 'in',
None, False, False)
None, False, False)
bb2 = ax.spines['bottom'].get_window_extent(fig.canvas.get_renderer())
np.testing.assert_allclose(bb.get_points(), bb2.get_points(), rtol=1e-6)

Expand Down Expand Up @@ -5856,3 +5856,18 @@ def test_gettightbbox_ignoreNaN():
t = ax.text(np.NaN, 1, 'Boo')
renderer = fig.canvas.get_renderer()
np.testing.assert_allclose(ax.get_tightbbox(renderer).width, 532.444444)


def test_scatter_series_non_zero_index(pd):
# create non-zero index
ids = range(10, 18)
x = pd.Series(np.random.uniform(size=8), index=ids)
y = pd.Series(np.random.uniform(size=8), index=ids)
c = pd.Series([1, 1, 1, 1, 1, 0, 0, 0], index=ids)
plt.scatter(x, y, c)


def test_scatter_empty_data():
# making sure this does not raise an exception
plt.scatter([], [])
plt.scatter([], [], s=[], c=[])
7 changes: 7 additions & 0 deletions lib/matplotlib/tests/test_cbook.py
Original file line number Diff line number Diff line change
Expand Up @@ -526,3 +526,10 @@ def test_contiguous_regions():
assert cbook.contiguous_regions([False]*5) == []
# Empty mask
assert cbook.contiguous_regions([]) == []


def test_safe_first_element_pandas_series(pd):
# delibrately create a pandas series with index not starting from 0
s = pd.Series(range(5), index=range(10, 15))
actual = cbook.safe_first_element(s)
assert actual == 0