matplotlib-devel Mailing List for matplotlib

The KDE computation code is a copy of the KDE code from scipy (
https://github.com/scipy/scipy/blob/master/scipy/stats/kde.py), I suggest
raising this issue on their mailing list/github.
I strongly suspect that violin plot should be doing data sanitation on the
way in or catching exceptions like this, but I am not familiar enough with
the math to be sure what it should do instead.
Tom
On Fri, Jul 3, 2015 at 11:41 AM elmar werling <el...@ne...> wrote:
>
> Hi all,
>
> violinplot is crashing with singular matrix data. See example.
>
> Is this behaviour for a singular matrix intended or just a bug?
>
> Cheers
> Elmar
>
>
>
> #####################################################
> import numpy as np
> import matplotlib.pyplot as plt
>
> # data mimicing the
> # original cumsum data (may sum up to 100)
> N = 100
> y1 = np.random.randn(N) + 3.0
> y2 = np.random.randn(N) * 5.0 + 50
> y3 = np.ones(N) * 100 # data set causing violinplot problem
>
> plt.violinplot([y1, y2, y3])
>
> plt.boxplot([y1, y2, y3]) # ok
> plt.ylim(0,110)
>
> #####################################################
>
> OS: Debian
> Anaconda 2.3.0 (64-bit)
> Python 2.7.10
> numpy 2.3.0
> matplotlib 1.4.3
>
>
>
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Hi all,
violinplot is crashing with singular matrix data. See example.
Is this behaviour for a singular matrix intended or just a bug?
Cheers
Elmar
#####################################################
import numpy as np
import matplotlib.pyplot as plt
# data mimicing the
# original cumsum data (may sum up to 100)
N = 100
y1 = np.random.randn(N) + 3.0
y2 = np.random.randn(N) * 5.0 + 50
y3 = np.ones(N) * 100 # data set causing violinplot problem
plt.violinplot([y1, y2, y3])
plt.boxplot([y1, y2, y3]) # ok
plt.ylim(0,110)
#####################################################
OS:	Debian
Anaconda 2.3.0 (64-bit)
Python 2.7.10
numpy 2.3.0
matplotlib 1.4.3