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 vote270 views2 answers
Python selenium hover over element
Python
0 vote295 views1 answer
Python def text
Python
5 votes280 views1 answer
Pandas version from python script
Python
0 vote269 views1 answer
Art library in python spyder
Python
1 vote265 views1 answer
Utc to local time python
Python
4 votes283 views3 answers
ArrayField in Django
Python
0 vote260 views1 answer
Change image in tkinter canvas
Python
0 vote264 views6 answers
Gcd
Python
0 vote240 views1 answer
Finetune vision model huggingface pytorch github
Python
0 vote245 views1 answer
Tkinter responsive gui
Python