# Tag Archives: Python numpy-Statistics Functions

## Compute the median of the flattened NumPy array

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… Read More »

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

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… Read More »

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

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… Read More »

## Calculate the mean across dimension in a 2D NumPy array

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… Read More »

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

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 the… Read More »

## Compute the covariance matrix of two given NumPy arrays

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… Read More »

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

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… Read More »

## Describe a NumPy Array in Python

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.… Read More »

## Python – Coefficient of Determination-R2 score

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… Read More »

## numpy.nanstd() function – Python

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 »

## Python – Kendall Rank Correlation Coefficient

What is correlation test? The strength of the association between two variables is known as correlation test. For instance, if we are interested to know… Read More »

## Python | numpy.nanmean() function

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… Read More »

## Python | numpy.cov() function

Covariance provides the a measure of strength of correlation between two variable or more set of variables. The covariance matrix element Cij is the covariance… Read More »

## Python | Numpy nanmedian() function

numpy.nanmedian() function can be used to calucate the median of array ignoring the NaN value. If array have NaN value and we can find out… Read More »

## Estimation of Variable | set 2

Prerequisite: Estimation of Variable | set 1 Terms related to Variability Metrics : -> Deviation -> Variance -> Standard Deviation -> Mean Absolute Deviation ->… Read More »