[Python] How to create asymmetric violin plot in python using Matplotlib

I have these two sample datasets:

data = np.exp ( np.random.randn(N) )
data[data>threshold] = threshold + np.random.randn(sum(data>threshold))*0.2
data_1 = data
data_2 = np.random.randn(N)


And I would like to know how to create an asymmetric violin plot using Matplotlib plt.violinplot() in which both datasets plotted in two sides of the same axis. Unfortunately I could not find the proper options for this function as it is available for statsmodels.graphics.boxplots.violinplot(side=) or for seaborn library.
This is my code for separated violin plots:

import numpy as np
import matplotlib.pyplot as plt

N = 10000
threshold = 5

data = np.exp ( np.random.randn(N) )
data[data>threshold] = threshold + np.random.randn(sum(data>threshold))*0.2

data_1 = data
data_2 = np.random.randn(N)
plt.figure(figsize = (15,5))
plt.subplot(1,2,1)
plt.violinplot(data_1)
plt.title('Violin Plot For Dataset 1')

plt.subplot(1,2,2)[enter image description here][1]
plt.violinplot(data_2)
plt.title('Violin Plot For Dataset 2');


The result is attached. [1]: https://i.sstatic.net/hx0Ha.png

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