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| # Bins numerical data and returns the different counts for each category | |
| mport numpy as np | |
| a = np.array([22,87,5,43,56,73,55,54,11,20,51,5,79,31,27]) | |
| hist,bins = np.histogram(a,bins = [0,20,40,60,80,100]) | |
| print(hist) # [3 4 5 2 1] | |
| print(bins) # [ 0 20 40 60 80 100] |
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