Example for plotting precomputed histogram in matplotlib

histogram_recover.py

import numpy as np
import matplotlib.pyplot as plt
# here's the precomputed histogram via `plt.hist` or `np.histogram`
bins = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9]).astype(float)
counts = np.array([5, 3, 4, 5, 6, 1, 3, 7]).astype(float)
assert len(bins) == len(counts) + 1

# recover
centroids = (bins[1:] + bins[:-1]) / 2
counts_, bins_, _ = plt.hist(centroids, bins=len(counts),
                             weights=counts, range=(min(bins), max(bins)))
plt.show()

# check the histogram is exactly reconstructed
assert np.allclose(bins_, bins)
assert np.allclose(counts_, counts)