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Commit b11fb2f

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dstansbyMeeseeksDev[bot]
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MeeseeksDev[bot]
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Backport PR #9705: Fix scatterplot categorical support
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‎lib/matplotlib/category.py

Copy file name to clipboardExpand all lines: lib/matplotlib/category.py
+6Lines changed: 6 additions & 0 deletions
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@@ -40,6 +40,12 @@ def convert(value, unit, axis):
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"""Uses axis.unit_data map to encode
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data as floats
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"""
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value = np.atleast_1d(value)
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# try and update from here....
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if hasattr(axis.unit_data, 'update'):
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for val in value:
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if isinstance(val, six.string_types):
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axis.unit_data.update(val)
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vmap = dict(zip(axis.unit_data.seq, axis.unit_data.locs))
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if isinstance(value, six.string_types):

‎lib/matplotlib/tests/test_category.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_category.py
+13Lines changed: 13 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -243,3 +243,16 @@ def test_plot_update(self):
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unit_data = MockUnitData(list(zip(labels, ticks)))
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self.axis_test(ax.yaxis, ticks, labels, unit_data)
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def test_scatter_update(self):
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fig, ax = plt.subplots()
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ax.scatter(['a', 'b'], [0., 3.])
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ax.scatter(['a', 'b', 'd'], [1., 2., 3.])
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ax.scatter(['b', 'c', 'd'], [4., 1., 2.])
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fig.canvas.draw()
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labels = ['a', 'b', 'd', 'c']
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ticks = [0, 1, 2, 3]
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unit_data = MockUnitData(list(zip(labels, ticks)))
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self.axis_test(ax.xaxis, ticks, labels, unit_data)

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