Numpy

>>> # The standard way to import NumPy:
>>> import numpy as np

>>> # Create a 2-D array, set every second element in
>>> # some rows and find max per row:

>>> x = np.arange(15, dtype=np.int64).reshape(3, 5)
>>> x[1:, ::2] = -99
>>> x
array([[  0,   1,   2,   3,   4],
       [-99,   6, -99,   8, -99],
       [-99,  11, -99,  13, -99]])
>>> x.max(axis=1)
array([ 4,  8, 13])

>>> # Generate normally distributed random numbers:
>>> rng = np.random.default_rng()
>>> samples = rng.normal(size=2500)

Source: numpy.org

Similar codes

4 votes125 views3 answers
Using a print function
Python
0 vote111 views1 answer
Python datetime into 12-hour format
Python
4 votes138 views1 answer
How to make sun as first day in calendar python
Python
1 vote114 views1 answer
Elif in django template
Python
0 vote75 views1 answer
Remove from list if not maches in list
Python
0 vote128 views1 answer
Django http response 204
Python Django
0 vote118 views1 answer
Pyplot width
Python
24 votes127 views6 answers
Python remove white space
Python
2 votes116 views1 answer
Matplotlib 3D plots reduce margins
Python
0 vote127 views1 answer
Mechanize python #10
Python