Skip to content

Tag Archives: Python scipy-stats-functions

scipy.stats.describe(array, axis=0) computes the descriptive statistics of the passed array elements along the specified axis of the array. Parameters : array: Input array or object… Read More
scipy.stats.tmax(array, lowerlimit=None, axis=0, inclusive=True) function calculates the trimmed maximum of the array elements along with ignoring the values lying outside the specified limits, along the… Read More
scipy.stats.tmean(array, limits=None, inclusive=(True, True)) calculates the trimmed mean of the array elements along the specified axis of the array. It’s formula – Parameters : array:… Read More
scipy.stats.tstd(array, limits=None, inclusive=(True, True)) calculates the trimmed standard deviation of the array elements along the specified axis of the array. It’s formula – Parameters :… Read More
scipy.stats.gmean(array, axis=0, dtype=None) calculates the geometric mean of the array elements along the specified axis of the array (list in python). It’s formula – Parameters… Read More
scipy.stats.tmin(array, lowerlimit=None, axis=0, inclusive=True) function calculates the trimmed minimum of the array elements along with ignoring the values lying outside the specified limits, along the… Read More
scipy.stats.hmean(array, axis=0, dtype=None) calculates the harmonic mean of the array elements along the specified axis of the array (list in python). It’s formula – Parameters… Read More
scipy.stats.tvar(array, limits=None, inclusive=(1, 1)) function calculates the trimmed variance of the array elements along with ignoring the values lying outside the specified limits. It’s formula… Read More