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

46 votes305 views6 answers
Dataframe to CSV
Python
0 vote335 views1 answer
Font tkinter combobox
Python
3 votes325 views4 answers
Fizz buzz fizzbuzz python game
Python
0 vote347 views1 answer
Change my python working directory
Python
5 votes306 views1 answer
Append item to array python
Python
5 votes320 views2 answers
How to make a url shortener in python
Python
0 vote314 views1 answer
Python split clever looping
Python
16 votes313 views6 answers
Python how to print
Python
0 vote338 views1 answer
Requests.packages.urllib3.util.retry could not be resolved from source
Python
1 vote325 views1 answer
Django sort descending
Python Django