statistical functions

numpy.logspace() It creates an array by using the numbers that are evenly separated on a log scale. Syntax numpy.logspace(start, stop, num, endpoint,…

numpy.matlib.zeros() This function is used to return a new matrix with the values initialized to zeros. Syntax numpy.matlib.zeros(shape,dtype,order) Parameters It accepts the…

Numpy statistical functions Numpy provides various statistical functions which are used to perform some statistical data analysis. In this section of the…

NumPy Matrix Library NumPy contains a matrix library, i.e. numpy.matlib which is used to configure matrices instead of ndarray objects. numpy.matlib.empty() function…

numpy standard deviation The numpy module of Python provides a function called numpy.std(), used to compute the standard deviation along the specified…

NumPy Matrix Multiplication in Python Multiplication of matrix is an operation which produces a single matrix by taking two matrices as input…

NumPy String Functions NumPy contains the following functions for the operations on the arrays of dtype string. SN Function Description 1 add()…

numpy.mean() in Python The sum of elements, along with an axis divided by the number of elements, is known as arithmetic mean.…

numpy.sum() in Python The numpy.sum() function is available in the NumPy package of Python. This function is used to compute the sum…

numpy.meshgrid() in Python The numpy module of Python provides meshgrid() function for creating a rectangular grid with the help of the given…