Element-wise division in Python NumPy
This tutorial shows you how to perform element-wise division on NumPy arrays in Python.
NumPy Element-Wise Division using numpy.divide()the function
If we have two arrays and want to divide each element of the first array with each element of the second array, we can use numpy.divide()the numpy.divide() function. The numpy.divide() function performs element-wise division on NumPy arrays. numpy.divide()The function takes the dividend array, divisor array, and output array as its arguments and stores the division result in the output array. Refer to the following code example.
import numpy as np
array1 = np.array([10, 20, 30])
array2 = np.array([2, 4, 6])
np.divide(array1, array2, array3)
print(array3)
Output:
[5. 5. 5.]
In the code above, we first np.array()create two NumPy arrays, the dividend array array1and the divisor array , using the function array2. We then array1divide by array2and np.divide()store the result array3in the NumPy array using the function.
NumPy Element-Wise Division and /Operators
We can also /perform element-wise division on NumPy arrays in Python using the operator. /The operator is np.true_divide()a shorthand for the function in Python. We can use /the operator to divide one array by another and store the result in a third array. Refer to the following code example.
import numpy as np
array1 = np.array([10, 20, 30])
array2 = np.array([2, 4, 6])
array3 = array1 / array2
print(array3)
Output:
[5. 5. 5.]
We array1divide by array2and /store the result array3in the NumPy array using the operator.
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