NumPy: Compute the histogram of nums against the bins
NumPy Statistics: Exercise-14 with Solution
Write a NumPy program to compute the histogram of nums against the bins.
import numpy as np import matplotlib.pyplot as plt nums = np.array([0.5, 0.7, 1.0, 1.2, 1.3, 2.1]) bins = np.array([0, 1, 2, 3]) print("nums: ",nums) print("bins: ",bins) print("Result:", np.histogram(nums, bins)) plt.hist(nums, bins=bins) plt.show()
nums: [0.5 0.7 1. 1.2 1.3 2.1] bins: [0 1 2 3] Result: (array([2, 3, 1], dtype=int64), array([0, 1, 2, 3]))
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You can chain comparison operators in Python as following: n = 10 result = 1 < n < 20
distance = 200 checker = 100 < distance < 350 print(checker)
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