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5 changes: 5 additions & 0 deletions lib/matplotlib/axes/_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,7 @@
import matplotlib.ticker as mticker
import matplotlib.transforms as mtransforms
import matplotlib.tri as mtri
import matplotlib.transforms as mtrans
from matplotlib.container import BarContainer, ErrorbarContainer, StemContainer
from matplotlib.axes._base import _AxesBase

Expand Down Expand Up @@ -3762,6 +3763,10 @@ def hexbin(self, x, y, C=None, gridsize=100, bins=None,
xmax = np.amax(x)
ymin = np.amin(y)
ymax = np.amax(y)
# to avoid issues with singular data, expand the min/max pairs
xmin, xmax = mtrans.nonsingular(xmin, xmax, expander=0.1)
ymin, ymax = mtrans.nonsingular(ymin, ymax, expander=0.1)

# In the x-direction, the hexagons exactly cover the region from
# xmin to xmax. Need some padding to avoid roundoff errors.
padding = 1.e-9 * (xmax - xmin)
Expand Down
13 changes: 13 additions & 0 deletions lib/matplotlib/tests/test_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,8 @@
from matplotlib.testing.decorators import image_comparison, cleanup
import matplotlib.pyplot as plt
from numpy.testing import assert_array_equal
import warnings


@image_comparison(baseline_images=['formatter_ticker_001',
'formatter_ticker_002',
Expand Down Expand Up @@ -2990,6 +2992,17 @@ def test_pie_ccw_true():
plt.axis('equal')


@cleanup
def test_pathological_hexbin():
# issue #2863
with warnings.catch_warnings(record=True) as w:
mylist = [10] * 100
fig, ax = plt.subplots(1, 1)
ax.hexbin(mylist, mylist)
plt.show()
assert_equal(len(w), 0)


if __name__ == '__main__':
import nose
import sys
Expand Down