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February 12, 2016 13:39
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Normalised histogram using matplotlib.pyplot.hist and numpy weights
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| counts = [10, 8, 6, 14] | |
| weights = np.ones_like(counts) / float(len(counts)) | |
| plt.figure(figsize=(10, 5)) | |
| plt.hist(counts, bins=range(1, max(counts)+2), align='left', weights=weights) | |
| plt.xticks(range(1, max(counts)+1)) | |
| plt.show() |
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