How to choose bins in Matplotlib histogram?
If you just want them equally distributed, you can simply use range
import numpy as np import matplotlib.pyplot as plt # Data in numpy array data = np.array([12, 15, 13, 20, 19, 20, 11, 19, 11, 12, 19, 13, 12, 10, 6, 19, 3, 1, 1, 0, 4, 4, 6, 5, 3, 7, 12, 7, 9, 8, 12, 11, 11, 18, 19, 18, 19, 3, 6, 5, 6, 9, 11, 10, 14, 14, 16, 17, 17, 19, 0, 2, 0, 3, 1, 4, 6, 6, 8, 7, 7, 6, 7, 11, 11, 10, 11, 10, 13, 13, 15, 18, 20, 19, 1, 10, 8, 16, 19, 19, 17, 16, 11, 1, 10, 13, 15, 3, 8, 6, 9, 10, 15, 19, 2, 4, 5, 6, 9, 11, 10, 9, 10, 9, 15, 16, 18, 13]) # Plot the distribution of numpy data ax = plt.hist(data, bins=np.arange(min(data), max(data) + 0.25, 0.25), align='left') # Add axis labels plt.xlabel("Year") plt.ylabel("Salary") plt.title("Example of Histogram Plot") plt.show()
ax = plt.hist(data, bins=np.arange(min(data), max(data) + 0.5, 0.5), align='left')
ax = plt.hist(data, bins=np.arange(min(data), max(data) + 1, 1), align='left')
2018-11-02T00:32:20+05:30
2018-11-02T00:32:20+05:30
Amit Arora
Amit Arora
Python Programming Tutorial
Python
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