Np array describe

>>> from scipy import stats
>>> a = np.arange(10)
>>> stats.describe(a)
DescribeResult(nobs=10, minmax=(0, 9), mean=4.5, variance=9.166666666666666,
               skewness=0.0, kurtosis=-1.2242424242424244)
>>> b = [[1, 2], [3, 4]]
>>> stats.describe(b)
DescribeResult(nobs=2, minmax=(array([1, 2]), array([3, 4])),
               mean=array([2., 3.]), variance=array([2., 2.]),
               skewness=array([0., 0.]), kurtosis=array([-2., -2.]))

Source: docs.scipy.org

Similar codes

1 vote215 views1 answer
Distribution plot with curve python
Python
0 vote202 views1 answer
Np arange shape
Python
1 vote244 views1 answer
Python how to open a file in a different directory in mac
Python
0 vote226 views1 answer
Python string match http
Python
1 vote224 views1 answer
Seaborn rotate xlabels
Python
0 vote252 views1 answer
Python string: string concatenation
Python
0 vote230 views1 answer
Access CSV Files in Google Colab
Python
0 vote232 views1 answer
Pandas mean and sum
Python
0 vote215 views1 answer
Python dataset createdimension unlimited
Python
1 vote233 views1 answer
F string python not working in linux
Python