datetime conflict with matplotlib

[ocehugo]

Hi, just reposting this from the matplotlib issue 6796.

[ 1.5.1 , 3.5, OSX] Matplotlib version, Python version and Platform (Windows, OSX, Linux ...)
[ pip ] How did you install Matplotlib and Python (pip, anaconda, from source ...)
[0.6.1] statsmodels

The issue is that the import of statsmodels break compatibility with standard matplotlib plotting, since statsmodels overwrite the datetime namespace (or Pandas). This cause the following bug when using the Pandas datetime.

TypeError: float() argument must be a string or a number, not 'datetime.date'

How to reproduce:

import datetime
import matplotlib.pyplot as plt
import statsmodels.api as sm

#this works
x = [datetime.date(1678,1,1) + datetime.timedelta(days=i) for i in range(10)]
plt.plot(x,range(10))
#this do not
x = [datetime.date(1677,1,1) + datetime.timedelta(days=i) for i in range(10)]
plt.plot(x,range(10))

without the statsmodels.api as sm both lines works.

I would expect that just importing a function from the package would not override the defaults ones.

[ocehugo]

Hi just realize that this should be at pandas.
You can close this.

[josef-pkt]

cross-ref
matplotlib/matplotlib#6796 (comment)
pandas-dev/pandas#13713