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

0 vote312 views1 answer
Tkinter text blurry
Python
0 vote309 views1 answer
Python split into rows
Python
7 votes331 views1 answer
Filter dataframe multiple conditions
Python
78 votes360 views4 answers
Extract data from json file python
Python
0 vote305 views1 answer
Sort files in windows order python
Python
2 votes361 views1 answer
Import validation error in django
Python Django
37 votes380 views6 answers
List into string python
Python
87 votes310 views6 answers
Write dataframe to csv python
Python
0 vote324 views1 answer
Python function cache
Python
5 votes302 views1 answer
Python matplt
Python