# 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

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.

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 […]

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