scipy.stats.describe¶
- scipy.stats.describe(a, axis=0)[source]¶
Computes several descriptive statistics of the passed array.
Parameters: a : array_like
data
axis : int or None
axis along which statistics are calculated. If axis is None, then data array is raveled. The default axis is zero.
Returns: size of the data : int
length of data along axis
(min, max): tuple of ndarrays or floats
minimum and maximum value of data array
arithmetic mean : ndarray or float
mean of data along axis
unbiased variance : ndarray or float
variance of the data along axis, denominator is number of observations minus one.
biased skewness : ndarray or float
skewness, based on moment calculations with denominator equal to the number of observations, i.e. no degrees of freedom correction
biased kurtosis : ndarray or float
kurtosis (Fisher), the kurtosis is normalized so that it is zero for the normal distribution. No degrees of freedom or bias correction is used.