CODEWITHSUNDEEP
pythonmatplotlibhistogram
user3456863
user3456863

Reputation: 45

superimposed histograms in matplotlib

I know how to make histograms but I wanted to reproduce this image:

Imgur

The original is form a PNAS (journal) paper by Andrew Karplus et al. 2011.

I have the following image from my own histogram:

I have the following questions:

1) How can I start the plot with histogram smoothed out?

2) How can I superimpose but yet not distort the color as I have done in my plot (2nd image), that is omit the points in the exterior plot that are in the interior one as well to produce a clean superimposition?

Upvotes: 0

Views: 624

Answers (1)

unutbu
unutbu

Reputation: 879451

You could use fill_between:

import numpy as np
import matplotlib.pyplot as plt

def gaussian(x, x0, y0, variance):
    return y0 * np.exp(-(x - x0) ** 2 / variance)

x = np.linspace(150, 210, 100)
plt.fill_between(x, 0, gaussian(x, 180, 5000, 30), color='red', zorder=0)
plt.fill_between(x, 0, gaussian(x, 181, 4500, 10), color='blue', zorder=1)

plt.show()

yields

enter image description here

Above I used gaussian to generate a substitute for your data; you can replace gaussian(...) with your actual histogram values.

Upvotes: 1

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