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Commit e7aba70

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QuLogicmeeseeksmachine
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Backport PR #28649: FIX: improve formatting of image values in cases of singular norms
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‎lib/matplotlib/artist.py

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+3-1Lines changed: 3 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1346,7 +1346,9 @@ def format_cursor_data(self, data):
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delta = np.diff(
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self.norm.boundaries[neigh_idx:cur_idx + 2]
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).max()
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elif self.norm.vmin == self.norm.vmax:
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# singular norms, use delta of 10% of only value
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delta = np.abs(self.norm.vmin * .1)
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else:
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# Midpoints of neighboring color intervals.
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neighbors = self.norm.inverse(

‎lib/matplotlib/cbook.py

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+4Lines changed: 4 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -2252,6 +2252,10 @@ def _g_sig_digits(value, delta):
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it is known with an error of *delta*.
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"""
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if delta == 0:
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if value == 0:
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# if both value and delta are 0, np.spacing below returns 5e-324
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# which results in rather silly results
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return 3
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# delta = 0 may occur when trying to format values over a tiny range;
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# in that case, replace it by the distance to the closest float.
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delta = abs(np.spacing(value))

‎lib/matplotlib/tests/test_image.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_image.py
+2-1Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -411,7 +411,8 @@ def test_cursor_data_nonuniform(xy, data):
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([[.123, .987]], "[0.123]"),
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([[np.nan, 1, 2]], "[]"),
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([[1, 1+1e-15]], "[1.0000000000000000]"),
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([[-1, -1]], "[-1.0000000000000000]"),
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([[-1, -1]], "[-1.0]"),
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([[0, 0]], "[0.00]"),
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])
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def test_format_cursor_data(data, text):
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from matplotlib.backend_bases import MouseEvent

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