Seaborn distplot with rugplot from different array

Question

Making a distplot with a rug using seaborn is easy:

import seaborn as sns, numpy as np
%matplotlib inline
sns.set(rc={"figure.figsize": (8, 4)}); np.random.seed(0)
x = np.random.randn(100)
ax = sns.distplot(x, rug=True)

The rug plot above reflects the distribution x. But what if I want to display the rug from a different distribution, rug_array, under the dist plot of x?

rug_array = np.array([-2.0, -1, 0, 1, 2, 2.1, 3])

The answer should display a plot of the curve x with rug plot ticks at -2,-1, ,0, 1, 2, 2.1, and 3.

ImportanceOfBeingErnest · Accepted Answer · 2017-04-30 19:39:47Z

5

Seaborn provides a function rugplot to draw the rugplot. The idea is to use this function.

import seaborn as sns
import numpy as np; np.random.seed(0)
import matplotlib.pyplot as plt

x = np.random.randn(100)
rug_array = np.array([-2.0, -1, 0, 1, 2, 2.1, 3])

ax = sns.distplot(x, rug=False)
sns.rugplot(rug_array, height=0.05, axis='x', ax=ax)

plt.show()

answered Apr 30, 2017 at 19:39

ImportanceOfBeingErnest

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2 Comments

Thomas Matthew Over a year ago

Not to make this more complicated, but if rug_array was in a different scale than the current x-axis (eg log10), how could I add a separate axis to match the rug? I can post this as a different question if need be.

ImportanceOfBeingErnest Over a year ago

You can add a new axis with ax2 = ax.twiny(), and plot the rugplot to it via sns.rugplot(..., ax=ax2). However, I doubt that the plot will be easily understandable. If this does not help you, posting a new question with an exact problem description might make sense.

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