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Unpin mpl #34
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@@ -5,13 +5,17 @@ | |
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| import unittest | ||
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| import matplotlib.style | ||
| import matplotlib.dates as mdates | ||
| import cftime | ||
| import numpy as np | ||
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| from nc_time_axis import NetCDFTimeDateLocator | ||
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| matplotlib.style.use('classic') | ||
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| class Test_compute_resolution(unittest.TestCase): | ||
| def setUp(self): | ||
| self.date_unit = 'days since 2004-01-01 00:00' | ||
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@@ -108,7 +112,7 @@ def test_monthly(self): | |
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| def test_yearly(self): | ||
| np.testing.assert_array_equal( | ||
| self.check(5, 0, 5*365), [31., 638., 1246., 1856.]) | ||
| self.check(5, 0, 5*365), [31., 485., 942., 1399., 1856.]) | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. With the change in the steps, and taking advantage of the |
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| if __name__ == "__main__": | ||
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The docs mention that this should be between 1 and 10 but I'm not sure that is the ideal steps for
nc-time-axis.There was a problem hiding this comment.
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Holy 💩 ... I've just joined the dots here!
During the marathon that was SciTools/iris#3019, I raised the issue SciTools/iris#3019 to capture the oddity of a documentation example graphical test that is raising a
UserWarningfrom withinmpl...After digging a little, it turns out that the plot in question

uses
nc-time-axisto plot time on thexaxis... and the weird step values that are being passed into thematplotlib.ticker.MaxNLocatorthat cause it to raise theUserWarningare[1, 2, 4, 7, 14]no less!Awesome! So
nc-time-axisis indeed the root cause.I'll play with the steps to see the impact on plots...
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It took me a while to figure that out just to find out that @QuLogic already solved this last year 😄
#23 (comment)