Tips on how to Rely Occurrences of Parts in NumPy

You’ll be able to significance refer to modes to rely the occurrences of components in a NumPy array:

Mode 1: Rely Occurrences of a Explicit Price

np.count_nonzero(x == 2)

Mode 2: Rely Occurrences of Values that Meet One Status

np.count_nonzero(x < 6)

Mode 3: Rely Occurrences of Values that Meet Certainly one of A number of Statuses

np.count_nonzero((x == 2) | (x == 7))

Refer to examples display find out how to significance each and every form in observe with refer to NumPy array:

import numpy as np

#form NumPy array
x = np.array([2, 2, 2, 4, 5, 5, 5, 7, 8, 8, 10, 12])

Refer to code displays find out how to rely the selection of components within the NumPy array which can be equivalent to the worth 2:

#rely selection of values in array equivalent to two
np.count_nonzero(x == 2)

3

From the output we will be able to see that 3 values within the NumPy array are equivalent to two.

Refer to code displays find out how to rely the selection of components within the NumPy array that experience a price lower than 6:

#rely selection of values in array which can be lower than 6
np.count_nonzero(x < 6)

7

From the output we will be able to see that 7 values within the NumPy array have a price lower than 6.

Refer to code displays find out how to rely the selection of components within the NumPy array which can be equivalent to two or 7:

#rely selection of values in array which can be equivalent to two or 7
np.count_nonzero((x == 2) | (x == 7))

4

From the output we will be able to see that 4 values within the NumPy array are equivalent to two or 7.

Refer to tutorials give an explanation for find out how to carry out alternative familiar operations in Python:

Tips on how to Calculate the Method of NumPy Array
Tips on how to Map a Serve as Over a NumPy Array
Tips on how to Type a NumPy Array through Column