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Description
Bug report
Hi everyone,
I don't know whether it is a bug or a missing feature in numpy or matplotlib, but plotting with fill_between and a simple datetime.timedelta (x axis) throws the following exception:
TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
Here is a simple (runnable) example:
from datetime import timedelta
from matplotlib import pyplot
from pandas import DataFrame
if __name__ == '__main__':
df = DataFrame([[timedelta(seconds=0), 4], [timedelta(seconds=10), 5]], columns=['TIME', 'VALUE'])
df = df.set_index('TIME')
pyplot.fill_between(df.index, 0, df.VALUE)Full stacktrace:
Traceback (most recent call last):
File "/de/test.py", line 11, in <module>
pyplot.fill_between(df.TIME, 0, df.VALUE)
File "/usr/lib/python3.6/site-packages/matplotlib/pyplot.py", line 2896, in fill_between
**kwargs)
File "/usr/lib/python3.6/site-packages/matplotlib/__init__.py", line 1819, in inner
return func(ax, *args, **kwargs)
File "/usr/lib/python3.6/site-packages/matplotlib/axes/_axes.py", line 4581, in fill_between
x = ma.masked_invalid(self.convert_xunits(x))
File "/usr/lib/python3.6/site-packages/numpy/ma/core.py", line 2340, in masked_invalid
condition = ~(np.isfinite(a))
TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
With dates, everthing works as expected:
from matplotlib import pyplot
from pandas import DataFrame
import pandas
if __name__ == '__main__':
df = DataFrame([[1488364614802, 4], [1488364615802, 5]], columns=['TIME', 'VALUE'])
df.TIME = pandas.to_datetime(df.TIME, unit='ms')
df = df.set_index('TIME')
print(df)
pyplot.fill_between(df.index, 0, df.VALUE)Matplotlib version
Matplotlub version: Version: 2.0.0 (via pip)
Python 3.6.0
Plattform: Linux 4.10.1-1 x86_64