matplotlib: disregard outliers when plotting

Question

I\'m plotting some data from various tests. Sometimes in a test I happen to have one outlier (say 0.1), while all other values are three orders of magnitude smaller.

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Answer 1

I think using pandas quantile is useful and much more flexible.

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

fig = plt.figure()
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)

pd_series = pd.Series(np.random.normal(size=300)) 
pd_series_adjusted = pd_series[pd_series.between(pd_series.quantile(.05), pd_series.quantile(.95))] 

ax1.boxplot(pd_series)
ax1.set_title('Original')

ax2.boxplot(pd_series_adjusted)
ax2.set_title('Adjusted')

plt.show()