# Tag Archives: Python scipy-stats-functions

A normal distribution is a type of continuous probability distribution for a real-valued random variable. It is based on mean and standard deviation. The probability… Read More
In this article, we will discuss how to find the geometric mean of a given DataFrame. Generally geometric mean of nth numbers is the nth… Read More
With the help of scipy.fft() method, we can compute the fast fourier transformation by passing simple 1-D numpy array and it will return the transformed… Read More
With the help of scipy.ifft() method, we can compute the inverse fast fourier transformation by passing simple 1-D numpy array and it will return the… Read More
With the help of scipy.fftshift() method, we can shift the lower and upper half of vector by using fast fourier transformation and return the shifted… Read More
With the help of scipy.fftfreq() method, we can compute the fast fourier transformation frequency and return the transformed array by using this method. Syntax :… Read More
With the help of scipy.rfft() method, we can compute the fast fourier transformation for real sequence and return the transformed vector by using this method.… Read More
With the help of stats.invgamma.rvs() method, we can generate the random variate from inverted gamma generalized normal distribution function by using stats.invgamma.rvs() method. Syntax :… Read More
With the help of stats.hypsecant.interval() method, we can get the value of endpoints of the range that contains alpha percent of the distribution by using… Read More
With the help of stats.hypsecant.var() method, we can get the value of variance of distribution by using stats.hypsecant.var() method. Syntax : stats.hypsecant.var(beta) Return : Return… Read More
With the help of stats.hypsecant.mean() method, we can get the value of mean of distribution by using stats.hypsecant.mean() method. Syntax : stats.hypsecant.mean(beta) Return : Return… Read More
With the help of stats.hypsecant.median() method, we can get the value of median of distribution by using stats.hypsecant.median() method. Syntax : stats.hypsecant.median(beta) Return : Return… Read More
With the help of stats.hypsecant.fit() method, we can get the parameter estimates for generic data by using stats.hypsecant.fit() method. Syntax : stats.hypsecant.fit(data) Return : Return… Read More
With the help of stats.hypsecant.entropy() method, we can get the value of entropy of random variate by using stats.hypsecant.entropy() method. Syntax : stats.hypsecant.entropy(beta) Return :… Read More
With the help of stats.hypsecant.stats() method, we can get the value of Mean(‘m’), variance(‘v’), skew(‘s’), and/or kurtosis(‘k’) by using stats.hypsecant.stats() method. Syntax : stats.hypsecant.stats(beta, moments)… Read More