问题
I want to create 10 violin plots but within one diagram. I looked at many examples like this one: Violin plot matplotlib, what shows what I would like to have at the end.
But I did not know how to adapt it to a real data set. They all just generate some random data which is normal distributed. I have data in form D[10,730] and if I try to adapt it from the link above with : example:
axes[0].violinplot(all_data,showmeans=False,showmedians=True)
my code:
axes[0].violinplot(D,showmeans=False,showmedians=True)
it do not work.
It should print 10 violin plot in parallel (first dimension of D
).
So how do my data need to look like to get the same type of violin plot?
回答1:
You just need to transpose your data array D
.
axes[0].violinplot(D.T,showmeans=False,showmedians=True)
This appears to be a small bug in matplotlib. The axes are treated in a non-consistent manner for a list of 1D arrays and a 2D array.
import numpy as np
import matplotlib.pyplot as plt
n_datasets = 10
n_samples = 730
data = np.random.randn(n_datasets,n_samples)
fig, axes = plt.subplots(1,3)
# http://matplotlib.org/examples/statistics/boxplot_vs_violin_demo.html
axes[0].violinplot([d for d in data])
# should be equivalent to:
axes[1].violinplot(data)
# is actually equivalent to
axes[2].violinplot(data.T)
You should file a bug report.
来源:https://stackoverflow.com/questions/43224751/violin-plot-with-python