Closed
Description
Bug report
Bug summary
If I plot a pandas Series with dates index and then try to plot a simple line, I get a TypeError.
Code for reproduction
In [3]: from matplotlib import pyplot as plt
In [4]: import pandas as pd
In [5]: s = pd.Series(range(10), index=pd.date_range(start='2000-12-31', periods=10, freq='D'))
In [6]: s.plot()
Out[6]: <matplotlib.axes._subplots.AxesSubplot at 0x7f1bfdcb1c88>
In [7]: plt.plot(["2001-01-01"], [-5])
Traceback (most recent call last):
File "/home/nobackup/repo/matp
62DA
lotlib/lib/matplotlib/cbook/__init__.py", line 290, in process
proxy(*args, **kwargs)
File "/home/nobackup/repo/matplotlib/lib/matplotlib/cbook/__init__.py", line 137, in __call__
return mtd(*args, **kwargs)
File "/home/nobackup/repo/matplotlib/lib/matplotlib/lines.py", line 635, in recache_always
self.recache(always=True)
File "/home/nobackup/repo/matplotlib/lib/matplotlib/lines.py", line 639, in recache
xconv = self.convert_xunits(self._xorig)
File "/home/nobackup/repo/matplotlib/lib/matplotlib/artist.py", line 186, in convert_xunits
return ax.xaxis.convert_units(x)
File "/home/nobackup/repo/matplotlib/lib/matplotlib/axis.py", line 1521, in convert_units
ret = self.converter.convert(x, self.units, self)
File "/home/nobackup/repo/matplotlib/lib/matplotlib/category.py", line 53, in convert
unit.update(values)
File "/home/nobackup/repo/matplotlib/lib/matplotlib/category.py", line 188, in update
raise TypeError("{val!r} is not a string".format(val=val))
TypeError: Period('2000-12-31', 'D') is not a string
Out[7]: [<matplotlib.lines.Line2D at 0x7f1be11ff898>]
Expected outcome
No error
Matplotlib version
The above is ran on last git, and works instead with matplotlib 2.0.0.
- Operating system: Debian Linux (but the Debian packaged version, 2.0.0, works)
- Matplotlib version: last git
- Matplotlib backend : reproduced both with
pdfand withmodule://ipykernel.pylab.backend_inline - Python version:3.5
- Jupyter version (if applicable):5.4.0
- Other libraries: up-to-date git pandas