# Category: Numpy Functions

## Numpy Meshgrid functionNumpy Meshgrid function

Numpy Meshgrid function The numpy.meshgrid function is used to create a rectangular grid out of

## numpy.argmax() in Pythonnumpy.argmax() in Python

numpy.argmax() in Python The numpy.argmax() function returns indices of the max element of the array in a

## numpy.reshape() in Pythonnumpy.reshape() in Python

numpy.reshape() in Python The numpy.reshape() function shapes an array without changing the data of the array. Syntax:

## numpy.multiply() in Pythonnumpy.multiply() in Python

numpy.multiply() in Python numpy.multiply() function is used when we want to compute the multiplication of two

## numpy.subtract() in Pythonnumpy.subtract() in Python

numpy.subtract() in Python numpy.subtract() function is used when we want to compute the difference of two

## numpy.percentile() in pythonnumpy.percentile() in python

numpy.percentile() in python numpy.percentile()function used to compute the nth percentile of the given data (array

## numpy.linspace() in Pythonnumpy.linspace() in Python

numpy.linspace() in Python The numpy.linspace() function returns number spaces evenly w.r.t interval. Similar to numpy.arrange() function but instead of

## Numpy size() function | PythonNumpy size() function | Python

Numpy size() function | Python In Python, numpy.size() function count the number of elements along

## Python – math.cos() functionPython – math.cos() function

Python | math.cos() function In Python, math module contains a number of mathematical operations, which

## numpy.log() in Pythonnumpy.log() in Python

numpy.log() in Python The numpy.log() is a mathematical function that helps user to calculate Natural logarithm of x where