How to use the np.divide() function for a 2D array in Python
Overview
The Python library NumPy has a method called divide() which can be used to divide two input arrays.
The numpy.divide() method
The numpy.divide() method divides two input arrays, element-wise (element by element).
Note: A two-dimensional (2D) array can be created using a list of lists in python.
Syntax
numpy.divide(x1, x2, dtype=None, out=None)
Parameters
x1: array_like, represents the input data.x2: array_like, represents the input data.dtype: This is an optional parameter. It represents the return type of the array.out: This is an optional parameter. It represents the alternative output array in which the result is to be placed.
Note: If
x1andx2have distinct shapes, they must be able to be broadcasted to a common shape for output representation.
Return value
The numpy.divide() method returns the division of the two input arrays, x1 and x2.
Note: If the
outparameter is specified, it returns an array reference toout.
Code
The following code shows how to divide two-dimensional (2D) arrays using the numpy.divide() method.
# import numpyimport numpy as np# create a two 2D arraysx1 = np.array([[2,6,5],[3,4,8]])x2 = np.array([[1,7,2],[10,9,4]])# divide the 2D arrays# and store the result in arr_mularr_div = np.divide(x1, x2)print(arr_div)
Explanation
- Line 2: We import the
numpylibrary. - Lines 4–5: We create two 2D arrays,
x1andx2. - Line 9: We use the
np.divide()to divide the arrays,x1andx2. The result is stored in a new variable calledarr_div. - Line 11: We display the result.
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