Найденные страницы с тегом numpy всего 32626

NumPy split()

In this tutorial, you'll learn how to use the NumPy split() function to split an array into multiple sub-arrays.

NumPy hstack()

In this tutorial, you'll learn how to use the NumPy hstack() function to join two or more arrays horizontally.

NumPy vstack

In this tutorial, you'll learn how to use the NumPy vstack() function to vertically join elements of two or more arrays into a single array.

NumPy stack

In this tutorial, you'll learn how to use the NumPy stack() function to join two or more arrays into a single array.

NumPy concatenate()

In this tutorial, you'll learn how to use the NumPy concatenate() function to join elements of two or more arrays into a single array

numpy add

In this tutorial, you'll learn how to use the numpy add() function or the + operator to add two equal-sized arrays.

NumPy Subtract

In this tutorial, you'll learn how to use the numpy subtract() function or the - operator to find the difference between two equal-sized arrays.

NumPy multiply()

In this tutorial, you'll learn how to use the numpy multiply() function or the * operator to return the product of two equal-sized arrays, element-wise.

NumPy divide()

In this tutorial, you'll learn how to use the numpy divide() function or the / operator to find the quotient of two equal-sized arrays, element-wise.

NumPy Broadcasting

In this tutorial, you'll learn about NumPy broadcasting and understand how it works.

NumPy any()

In this tutorial, you'll learn how to use the numpy any() function that returns True if any element in an array evaluates True.

NumPy transpose()

In this tutorial, you'll learn how to use the numpy transpose() function to reverse the axes of an array.

NumPy sort()

In this tutorial, you'll learn how to use the numpy sort() function to sort elements of an array.

NumPy flatten()

In this tutorial, you'll learn how to use the numpy flatten() method to return a copy of an array collapsed into one dimension.

NumPy ravel()

In this tutorial, you'll learn how to use the NumPy ravel() to return a contiguous flattened array.

NumPy Sum

In this tutorial, you'll learn how to use the numpy sum() function to return the sum of all elements in an array.

NumPy std

In this tutorial, you'll learn how to use the numpy std() function to calculate the standard deviation.

NumPy mean

In this tutorial, you'll learn how to use the numpy mean() function to calculate the average of elements of an array.

NumPy var(): Calculate Variances of Numbers in an Array

In this tutorial, you'll learn how to use the var() function to calculate the variances of elements in an array

NumPy prod

In this tutorial, you'll learn how to use the numpy prod() function to calculate the product of numbers in an array.

NumPy amin

In this tutorial, you will learn how to use the numpy amin() function to find the minimum element in an array.

NumPy amax

In this tutorial, you will learn how to use the numpy amax() function to find the maximum element in an array.

NumPy all

In this tutorial, you'll learn how to use the numpy all() function that returns True if all elements in an array evaluate True.

NumPy reshape

In this tutorial, you'll learn how to use the NumPy reshape() function to change the shape of an array.

NumPy copy

Summary: in this tutorial, you’ll learn how to use the NumPy copy() method to create a copy of an array rather than a view. Introduction to the NumPy copy() method When you slice an array, you get a subarray. The subarray is a view of the original array. In other words, if you change elements […]