Re: [Matplotlib-users] BrokenBarHCollection with pandas timeseries

[Benjamin R. <ben...@ou...>]

Ok, then this looks like a legitimate bug in span_where(). It probably
isn't applying units, somehow. This isn't really a problem with pandas, it
is an issue where we aren't being consistent in applying units for all
plotting functions. Could you file a bug report, please?

Cheers!
Ben Root

On Tue, Dec 2, 2014 at 11:15 AM, Fabien <fab...@gm...> wrote:

> On 02.12.2014 16:59, Benjamin Root wrote:
> > Does the workaround posted here fix things for you?
> >
> https://github.com/matplotlib/matplotlib/issues/3727#issuecomment-60899590
>
> sorry it doesn't.
>
> I updated the test case below (including the workaround, I hope I got it
> right). The strange thing is that fill_between() works fine, but
> pan_where() is the problem.
>
> Thanks!
>
> #-------------------------------------------
> import pandas as pd
> import numpy as np
> from datetime import datetime as dt
> import matplotlib.pyplot as plt
> import matplotlib.collections as collections
> span_where = collections.BrokenBarHCollection.span_where
> import matplotlib.units as units
>
> units.registry[np.datetime64] = pd.tseries.converter.DatetimeConverter()
>
> # init the dataframe
> time = pd.date_range(pd.datetime(1950,1,1), periods=5, freq='MS')
> df = pd.DataFrame(np.arange(5), index=time, columns=['data'])
> df['cond'] = df['data'] >= 3
>
> # This is working (but its not what I want)
> x = np.arange(5)
> fig = plt.figure()
> ax = fig.add_subplot(111)
> plt.plot(x, df['data'], 'k')
> c = span_where(x, ymin=0, ymax=4, where=df['cond'], color='green')
> ax.add_collection(c)
> plt.show()
>
> #This is not
> x = df.index.values
> fig = plt.figure()
> ax = fig.add_subplot(111)
> plt.plot(x, df['data'], 'k')
> c = span_where(x, ymin=0, ymax=4, where=df['cond'], color='green')
> ax.add_collection(c)
> plt.show()
>
> #This is producing an error
> x = df.index
> fig = plt.figure()
> ax = fig.add_subplot(111)
> plt.plot(x, df['data'], 'k')
> c = span_where(x, ymin=0, ymax=4, where=df['cond'], color='green')
> ax.add_collection(c)
> plt.show()
> #-------------------------------------------
>
>
>
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