Python numpy-Statistics Functions Archives

Last Updated: 01 June 2021

numpy.nanmean() function can be used to calculate the mean of array ignoring the NaN value. If array have NaN value and we can find out the mean without effect of NaN valu...read more

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Python numpy-Statistics Functions

Python | numpy.cov() function

Last Updated: 26 July 2024

Covariance provides the measure of strength of correlation between two variable or more set of variables. The covariance matrix element Cij is the covariance of xi and xj....read more

Python

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Python numpy-Statistics Functions

Python | Kendall Rank Correlation Coefficient

Last Updated: 05 August 2024

What is correlation test? The strength of the association between two variables is known as the correlation test. For instance, if we are interested to know whether there ...read more

Python numpy-Statistics Functions

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Python - Coefficient of Determination-R2 score

Last Updated: 05 August 2024

Coefficient of determination also called as R2 score is used to evaluate the performance of a linear regression model. It is the amount of the variation in the output depe...read more

Machine Learning

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AI-ML-DS With Python

numpy.nanstd() function - Python

Last Updated: 11 June 2020

numpy.nanstd() function compute the standard deviation along the specified axis, while ignoring NaNs.Syntax : numpy.nanstd(arr, axis = None, dtype = None, out = None, ...read more

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Python numpy-Statistics Functions

Describe a NumPy Array in Python

Last Updated: 02 September 2021

NumPy is a Python library used for numerical computing. It offers robust multidimensional arrays as a Python object along with a variety of mathematical functions. In this...read more

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Python numpy-Statistics Functions

Calculate the average, variance and standard deviation in Python using NumPy

Last Updated: 08 October 2021

Numpy in Python is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is ...read more

Data Science

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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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Python numpy-Statistics Functions

Compute the covariance matrix of two given NumPy arrays

Last Updated: 29 August 2020

In NumPy for computing the covariance matrix of two given arrays with help of numpy.cov(). In this, we will pass the two arrays and it will return the covariance matrix of...read more

Python

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Python numpy-Statistics Functions

Compute the mean, standard deviation, and variance of a given NumPy array

Last Updated: 29 August 2020

In NumPy, we can compute the mean, standard deviation, and variance of a given array along the second axis by two approaches first is by using inbuilt functions and secon...read more

Python

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Python numpy-Statistics Functions

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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Python numpy-program

Python numpy-Statistics Functions

Compute the median of the flattened NumPy array

Last Updated: 05 September 2020

In this article, we will discuss how to compute the median of the flattened array. Median is basically that value that separates the lower half of the array with the highe...read more

Python

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Python numpy-Statistics Functions

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

Python

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Python numpy-Statistics Functions

Winsorization

Last Updated: 30 May 2021

Winsorization is the process of replacing the extreme values of statistical data in order to limit the effect of the outliers on the calculations or the results obtained b...read more

Data Science

Python numpy-Statistics Functions

Tukey-Kramer Test for Post Hoc Analysis

Last Updated: 16 September 2021

If in ANOVA test we come to a conclusion that we have to reject our null hypothesis(H0) and then we know that some treatment or factor level means are different and we wis...read more

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