How to use the np.modf() function for a 2D array in Python

The numpy.modf() function

The Python library, NumPy, has a method called modf(). The numpy.modf() method returns the fractional and integral parts of an input array, element-wise.

Note: A two-dimensional (2D) array can be created using a list of lists in Python.

Syntax

numpy.modf(x1, x2, dtype=None, out=None)

Parameters

  • x1: This is an array-like parameter that 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.

Return value

The numpy.modf() method returns the fractional and integral parts of an input array, element-wise.

Note: If the specified number is negative, the fractional and integral parts are negative.

Code

The following code shows how to use the numpy.modf() method for two-dimensional (2D) arrays:

# import numpy
import numpy as np
# create a 2D arrays
x = np.array([[2,-0.6,5],[3.0,4,8.23]])
# using modf()
result = np.modf(x)
print(result)

Explanation

  • Line 2: We import the numpy library.
  • Line 4: We create a 2D array called x.
  • Line 7: We use the np.modf() with the parameter x. This returns the fractional and integral parts of an input array element-wise. The result is stored in a new variable called result.
  • Line 9: We display the result.

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