计算重复范围内的出现次数

Question

I want to count the number of occurrences/events within a range given a Numpy array of numbers.

For example, let's consider the array called arr and the result called arr via the function event_count :

import numpy as np
arr = np.array([0, 0.2, 0.3, 1, 1.5, 2])
bins = [0, 1, 2]
res = event_count(arr, bins=bins)
print(res)
>>> [3, 2, 1]

This is somewhat similar to what a historgram performs with it's bin argument, but I want to do it without creating a histogram plot. This is also similar to what bincount does, but I want a range instead of specific instances. This is also similar to this Finding Occurrences in a Range question, but I want a repeated range.

Answer 1

You can use a histogram without using it to plot . Here's an example using the previous code:

import numpy as np

arr = np.array([0, 0.2, 0.3, 1, 1.5, 2])
bins = [0, 1, 2, 3]
res = np.histogram(arr, bins=bins)
print(res[0])
>>> [3, 2, 1]