KeyError when plotting a sliced pandas dataframe with datetimes

HYRY explained why you get the KeyError. To plot with slices using matplotlib you can do:

In [157]: plot(test['x'][5:10].values)
Out[157]: [<matplotlib.lines.Line2D at 0xc38348c>]

In [158]: plot(test['x'][5:10].reset_index(drop=True))
Out[158]: [<matplotlib.lines.Line2D at 0xc37e3cc>]

x, y plotting in one go with 0.7.3

In [161]: test[5:10].set_index('x')['y'].plot()
Out[161]: <matplotlib.axes.AxesSubplot at 0xc48b1cc>

Instead of calling plot(test["x"][5:10]), you can call the plot method of Series object:

test["x"][5:10].plot()

The reason: test["x"][5:10] is a Series object with integer index from 5 to 10. plot() try to get index 0 of it, that will cause error.

I encountered this error with pd.groupby in Pandas 0.14.0 and solved it with df = df[df['col']!= 0].reset_index()