## 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 »

## Estimation of Variable | set 1

Variability: It is the import dimension which measures the data variation i.e. whether the data is spread out or tightly clustered. Also known as Dispersion… Read More »

## numpy.nanvar() in Python

numpy.nanvar(arr, axis = None) : Compute the variance of the given data (array elements) along the specified axis(if any), while ignoring NaN values. Example :… Read More »

## numpy.var() in Python

numpy.var(arr, axis = None) : Compute the variance of the given data (array elements) along the specified axis(if any). Example : x = 1 1… Read More »

## numpy.nanquantile() in Python

numpy.nanquantile(arr, q, axis = None) : Compute the qth quantile of the given data (array elements) along the specified axis, ignoring the nan values. Quantile… Read More »

## numpy.quantile() in Python

numpy.quantile(arr, q, axis = None) : Compute the qth quantile of the given data (array elements) along the specified axis. Quantile plays a very important… Read More »

## numpy.std() in Python

numpy.std(arr, axis = None) : Compute the standard deviation of the given data (array elements) along the specified axis(if any).. Standard Deviation (SD) is measured… Read More »

## numpy.mean() in Python

numpy.mean(arr, axis = None) : Compute the arithmetic mean (average) of the given data (array elements) along the specified axis. Parameters : arr : [array_like]input… Read More »

## numpy.median() in Python

numpy.median(arr, axis = None) : Compute the median of the given data (array elements) along the specified axis. How to calculate median? Given data points.… Read More »

## numpy.percentile() in python

numpy.percentile()function used to compute the nth precentile of the given data (array elements) along the specified axis. Syntax : numpy.percentile(arr, n, axis=None, out=None) Parameters :… Read More »

## numpy.nanpercentile() in Python

numpy.nanpercentile()function used to compute the nth precentile of the given data (array elements) along the specified axis ang ignores nan values. Syntax : numpy.nanpercentile(arr, q,… Read More »

## numpy.ptp() in Python

numpy.ptp()functions use to plays an important role in statistics by finding out Range of given numbers. Range = max value – min value. Syntax :… Read More »