@@ -1754,6 +1754,29 @@ def test_hist_datetime_datasets():
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ax .hist (data , stacked = False )
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+ @pytest .mark .parametrize ("bins_preprocess" ,
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+ [mpl .dates .date2num ,
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+ lambda bins : bins ,
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+ lambda bins : np .asarray (bins ).astype ('datetime64' )],
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+ ids = ['date2num' , 'datetime.datetime' ,
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+ 'np.datetime64' ])
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+ def test_hist_datetime_datasets_bins (bins_preprocess ):
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+ data = [[datetime .datetime (2019 , 1 , 5 ), datetime .datetime (2019 , 1 , 11 ),
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+ datetime .datetime (2019 , 2 , 1 ), datetime .datetime (2019 , 3 , 1 )],
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+ [datetime .datetime (2019 , 1 , 11 ), datetime .datetime (2019 , 2 , 5 ),
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+ datetime .datetime (2019 , 2 , 18 ), datetime .datetime (2019 , 3 , 1 )]]
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+
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+ date_edges = [datetime .datetime (2019 , 1 , 1 ), datetime .datetime (2019 , 2 , 1 ),
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+ datetime .datetime (2019 , 3 , 1 )]
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+
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+ fig , ax = plt .subplots ()
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+ _ , bins , _ = ax .hist (data , bins = bins_preprocess (date_edges ), stacked = True )
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+ np .testing .assert_allclose (bins , mpl .dates .date2num (date_edges ))
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+
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+ _ , bins , _ = ax .hist (data , bins = bins_preprocess (date_edges ), stacked = False )
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+ np .testing .assert_allclose (bins , mpl .dates .date2num (date_edges ))
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+
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+
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@pytest .mark .parametrize ('data, expected_number_of_hists' ,
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[([], 1 ),
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([[]], 1 ),
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