numpy.median() Function

The NumPy library has a numpy.median() function is used to compute the median of an array in sorted order on a specified axis and returns the median of the array…

How to Check the NumPy Version

There are multiple ways to check the NumPy version; however, the easiest and PEP8 standard practice is to import numpy and use the numpy.__version__ attribute to get the exact version…

numpy.ndarray.flatten() function

The numpy.ndarray.flatten() function in the NumPy array library is used to flatten an array of elements in different orders. The flattening of a NumPy n-dimensional array in python is a procedure to return a copy of…

numpy.mean() Function

The numpy.mean() is a function in the NumPy library that is used to calculate the mean of an array of elements along with an axis. In NumPy array library or…

numpy.average() Function

The numpy.average() function computes the weighted average of elements that are specified NumPy array along the specified axis. The average in linear algebra is the proportion of the sum of…

numpy.repeat() Function

The numpy.repeat() function takes the repetitions (int) as an input argument, repeats the elements of an array, and returns the repeated array as output. The repetitions can happen row and…

numpy.transpose() Function

The numpy.transpose() function takes the array as an input, reverses its dimension, and returns the transposed array. In simple terms, the NumPy transpose swaps from rows to columns and columns…

numpy.shape() Function

The numpy.shape() function will return the shape of the given array in tuple format. The shape of the array is the elements in each dimension. Dimension is the count of…

numpy.argmax() in Python

The numpy.argmax() function returns the indices of the maximum values along an axis. In case of multiple occurrences of the maximum values, the indices corresponding to the first occurrence will be returned.…