Closed
Description
I have reduced the error to the following code snippet which I run in a Jupyter notebook. A NaN as the first item in the series causes plt.vlines to not scale the y limits appropriately. The data values are in the thousands, but the ylimits are [-0.06, 0.06].
%matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import sys
print sys.version
print 'pandas', pd.__version__
print 'matplotlib', matplotlib.__version__
df = pd.DataFrame(index = pd.DatetimeIndex(['2016-10-07', '2016-10-14', '2016-10-21', '2016-10-28'], name='Date'),
data = [np.nan, -1000, -3000, 4500],
columns = ['Amount'])
print df
plt.figure(figsize=(12,3))
plt.vlines(df.index, 0, df['Amount'])2.7.12 |Continuum Analytics, Inc.| (default, Jul 2 2016, 17:42:40)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]
pandas 0.19.0
matplotlib 1.5.3
Amount
Date
2016-10-07 NaN
2016-10-14 -1000.0
2016-10-21 -3000.0
2016-10-28 4500.0
-
Matplotlib version, Python version and Platform (Windows, OSX, Linux ...)
1.5.3, python 2.7.12, Linux -
How did you install Matplotlib and Python (pip, anaconda, from source ...)
conda -
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