alexpearce

import numpy as np
from matplotlib import pyplot as plt

fig = plt.figure(figsize=(5, 4))
# Generate some data
mu, sigma = 1e7, 1e6
s = np.random.normal(mu, sigma, 10000)
# Plot it
plt.hist(s, 30, histtype='step')
# Format it

justiceamoh

# New matplotlib colormaps by Nathaniel J. Smith, Stefan van der Walt,
# and (in the case of viridis) Eric Firing.
#
# This file and the colormaps in it are released under the CC0 license /
# public domain dedication. We would appreciate credit if you use or
# redistribute these colormaps, but do not impose any legal restrictions.
#
# To the extent possible under law, the persons who associated CC0 with
# mpl-colormaps have waived all copyright and related or neighboring rights
# to mpl-colormaps.