NumPy

In Python, we can use the numpy.where() function to select elements from a numpy array, based on a condition. Not only that, but we can perform some operations on those elements if the condition is….

Being a linear sequence generator, the numpy.arange() function is used to generate a sequence of numbers in linear space with a uniform step size. This is similar to another function, numpy.linspace(), which also generates a….

Being a sequence generator, the numpy.linspace() function is used to generate a sequence of numbers in linear space with a uniform step size. Numpy generally can generate sequences using numpy.arange(), but when we use floating-point….

The transpose of a matrix is obtained by moving the rows data to the column and columns data to the rows. If we have an array of shape (X, Y) then the transpose of the….

NumPy matrix multiplication can be done by the following three methods. multiply(): element-wise matrix multiplication. matmul(): matrix product of two arrays. dot(): dot product of two arrays. 1. NumPy Matrix Multiplication Element Wise If you….

Python numpy cumsum() function returns the cumulative sum of the elements along the given axis. Python numpy cumsum() syntax The cumsum() method syntax is: cumsum(array, axis=None, dtype=None, out=None) The array can be ndarray or array-like….

We can use numpy ndarray tolist() function to convert the array to a list. If the array is multi-dimensional, a nested list is returned. For one-dimensional array, a list with the array elements is returned…..

Python numpy.ones() function returns a new array of given shape and data type, where the element’s value is set to 1. This function is very similar to numpy zeros() function. numpy.ones() function arguments The numpy.ones()….

Python numpy sum() function is used to get the sum of array elements over a given axis. Python numpy sum() function syntax Python NumPy sum() method syntax is: sum(array, axis, dtype, out, keepdims, initial) The….

Python numpy append() function is used to merge two arrays. This function returns a new array and the original array remains unchanged. NumPy append() Syntax The function syntax is: numpy.append(arr, values, axis=None) The arr can….