The python numpy tile function repeats the array elements for a given number of times and constructs a new array. This method will consider the input array as a tile or piece and repeat for a given number of times vertically and horizontally. numpy.tile(arr, repetition) This Python numpy tile method will return a 1D, 2D, … Read more
The Python numpy logspace function generate evenly spaced numbers on a log scale within a range. The syntax of the numpy logspace is numpy.logspace(start, stop, num = 50, endpoint = True, base = 10.0, dtype=None, axis = 0) The arguments of the Python numpy logspace array function are start – Starting value, i.e., base ** … Read more
The Python numpy digitize function returns the indices of the bins to which the array elements belong. The syntax of this array digitize method is numpy.digitize(a, bins, right = False) If a value(s) is beyond the bins boundary, the Python numpy array digitize method returns 0 or len(bins). a – Array of Values bins – … Read more
The Python numpy prod() function calculates the product or multiplication of all the elements in a given array along the specified axis. Syntax The syntax of this statistical Python numpy prod() method is numpy.prod(a, axis = None, dtype = None, out = None, keepdims = <no value>, initial = <no value>, where = <no value>) … Read more
The Python numpy max() function finds the maximum element in a given array along the specified axis. Syntax The syntax of this statistical Python numpy max() method is numpy.max(a, axis = None, out = None, keepdims = <no value>, initial = <no value>, where = <no value>) Here, a is a ndarray that is mandatory, … Read more
The Python numpy min() function finds the minimum element in a given array along the specified axis. Syntax The syntax of this statistical Python numpy min() method is numpy.min(a, axis = None, out = None, keepdims = <no value>, initial = <no value>, where = <no value>) Here, a is a ndarray that is mandatory, … Read more
The Python numpy sum() function helps compute the total or sum of all the elements in a given array along the specified axis. Syntax The syntax of this statistical Python numpy sum method is numpy.sum(a, axis = None, dtype = None, out = None, keepdims = <no value>, initial = <no value>, where = <no … Read more
The Python numpy degrees is a trigonometric function to convert the angles from radian to degrees. For instance, π radian = 180 and 2π = 360 degrees. Syntax The syntax of this mathematical method is numpy.degrees(a, axis = None, dtype = None, out = None) Python numpy degrees Example In this example, we declared two … Read more
The Python numpy radians is a trigonometric function to convert the angles from degrees to radians. For instance, 180 degrees = π and 360˚= 2π radians. Syntax The syntax of this mathematical method is numpy.radians(a, axis = None, dtype = None, out = None) Python numpy radians Example In this example, we declared two one-dimensional … Read more
The Python numpy average() function helps compute the weighted average of a given array along the specified axis. Python numpy average Syntax The syntax of this statistical method is numpy.average(a, axis = None, weights = None, returned = False, *, keepdims = <no value>) The arguments are a = Array If you specify the axis … Read more
