Re: [Matplotlib-users] BrokenBarHCollection with pandas timeseries

[Fabien <fab...@gm...>]

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()
#-------------------------------------------