Open raheems opened 5 years ago
I was able to reproduce the issue and the following has solved it for now.
conda install nomkl
This has upgraded some packages including numpy
import numpy as np
import pandas as pd
from plotnine import *
d1 = np.random.normal(loc=10, scale = 10, size=5000000)
d2 = np.random.randint(2, size=5000000)
d12 = pd.DataFrame({'d1': d1, 'd2': d2})
ggplot(d12) + aes(x ='d1', color= 'factor(d2)' ) + geom_density()
Density is computed using statsmodels.api.nonparametric.KDEUnivariate
. I think that is where the problem is/was.
I’m also experiencing this issue. nomkl
did not fix.
Has anyone experienced kernel issue when plotting geom_density()? I have a large data set with 4 million observations and the geom_density is causing the kernel to become "dead".
geom_boxplot is working fine.
It does not give any error message or anything but the Jupyter notebook pops up a message saying "The Kernel appears to have died". And it happens only when I run the geom_density(). It takes a couple of minute or so to get the message. At that point I would have to restart the kernel.
Please let me know what sort of information would help to debug it.