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As opposed to dicts, pandas.DataFramse etc. name in container does not check if a field exists in a numpy array. Hence, mustn't do args[1] in data unconditionally on the data type. This was spotted due to the indirectly related warning:
lib/matplotlib/tests/test_axes.py::test_structured_data
/home/travis/build/matplotlib/matplotlib/lib/matplotlib/axes/_axes.py:52: FutureWarning: elementwise == comparison failed and returning scalar instead; this will raise an error or perform elementwise comparison in the future.
if (not args[1] in data and
timhoffm
removed
the
Release critical
For bugs that make the library unusable (segfaults, incorrect plots, etc) and major regressions.
label
Sep 9, 2018
Bug report
As opposed to dicts, pandas.DataFramse etc.
name in container
does not check if a field exists in a numpy array. Hence, mustn't doargs[1] in data
unconditionally on the data type. This was spotted due to the indirectly related warning:Possible fixes:
_plot_args_replacer()
altogether.The text was updated successfully, but these errors were encountered: