Python numpy-program Archives

How to calculate the element-wise absolute value of NumPy array?

Last Updated: 29 August 2020

Let's see the program for finding the element-wise absolute value of NumPy array. For doing this task we are using numpy.absolute() function of NumPy library. This mathema...read more

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Find the number of weekdays of a given month using NumPy

Last Updated: 26 November 2020

In NumPy we can find the number of weekdays in a given month with the help of busday_count() In this pass the given month is the first parameter and next month as the seco...read more

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Get the dates of Yesterday, Today, and Tomorrow using NumPy

Last Updated: 26 November 2020

In NumPy with the help of NumPy.datetime64('today', 'D'), we will find today date and if we want some date before today then we will subtract the no-of-date with the help ...read more

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Display all the dates for a particular month using NumPy

Last Updated: 07 September 2021

In NumPy to display all the dates for a particular month, we can do it with the help of NumPy.arrange() pass the first parameter the particular month and the second parame...read more

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Compute pearson product-moment correlation coefficients of two given NumPy arrays

Last Updated: 02 September 2020

In NumPy, We can compute pearson product-moment correlation coefficients of two given arrays with the help of numpy.corrcoef() function.In this function, we will pass arra...read more

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How to find the maximum and minimum value in NumPy 1d-array?

Last Updated: 02 May 2022

Let's see the various ways to find the maximum and minimum value in NumPy 1d-array.Method 1: Using numpy.amax() and numpy.amin() functions of NumPy library.numpy.amax(): T...read more

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NumPy: How to Calculate the Difference Between Neighboring Elements in Array

Last Updated: 09 February 2024

To calculate the difference between neighboring elements in an array using the NumPy library we use numpy.diff() method of NumPy library.It is used to find the n-th discre...read more

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Calculate the mean across dimension in a 2D NumPy array

Last Updated: 29 August 2020

We can find out the mean of each row and column of 2d array using numpy with the function np.mean(). Here we have to provide the axis for finding mean.Syntax: numpy.mean(a...read more

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NumPy | Get the Powers of Array Values Element-Wise

Last Updated: 09 February 2024

To calculate the power of elements in an array we use the numpy.power() method of NumPy library.It raises the values of the first array to the powers in the second array.E...read more

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NumPy| How to get the unique elements of an Array

Last Updated: 09 February 2024

To find unique elements of an array we use the numpy.unique() method of the NumPy library in Python.It returns unique elements in a new sorted array.Example:Python3 ...read more

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Create an array which is the average of every consecutive subarray of given size using NumPy

Last Updated: 02 September 2020

In this article, we will see the program for creating an array of elements in which every element is the average of every consecutive subarrays of size k of a given numpy ...read more

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Find the number of occurrences of a sequence in a NumPy array

Last Updated: 05 September 2020

The sequence is consisting of some elements in the form of a list and we have to find the number of occurrences of that sequence in a given NumPy array. This can be done e...read more

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How to randomly select rows of an array in Python with NumPy ?

Last Updated: 25 February 2021

In this article, we will see two different methods on how to randomly select rows of an array in Python with NumPy. Let's see different methods by which we can select ran...read more

Slice a 2D Array in Python

Last Updated: 11 March 2024

We are given a 2D array matrix and we have to Slice this matrix 2D array and return the result. In this article, we will see how we can Slice the 2D array in Python.Exampl...read more

How to Take Array Input in Python Using NumPy

Last Updated: 19 November 2024

NumPy is a powerful library in Python used for numerical computing. It provides an efficient way to work with arrays making operations on large datasets faster and easier....read more

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