Numpy random normal seed time

>>> numpy.random.seed(0) ; numpy.random.rand(4)
array([ 0.55,  0.72,  0.6 ,  0.54])
>>> numpy.random.seed(0) ; numpy.random.rand(4)
array([ 0.55,  0.72,  0.6 ,  0.54])

Source: stackoverflow.com

Numpy random normal seed time

>>> numpy.random.rand(4)
array([ 0.42,  0.65,  0.44,  0.89])
>>> numpy.random.rand(4)
array([ 0.96,  0.38,  0.79,  0.53])

Source: stackoverflow.com

Similar codes

1 vote162 views1 answer
How to make multiple place holders in a string with %s python
Python
0 vote166 views1 answer
Python for loop in range 01 02
Python
0 vote160 views1 answer
Pandas normalize rows to max value
Python
5 votes176 views3 answers
Show multiple plots python
Python
0 vote160 views1 answer
Append vector to vector python
Python
-1 vote130 views1 answer
Django any() function raw sql query
Python
0 vote167 views1 answer
Instead of: firstName = "John" lastName = "Henry" city = "Manchester"
Python
4 votes185 views2 answers
Mysql.connector.errors.NotSupportedError: Authentication plugin 'caching_sha2_password' is not supported
Python
0 vote127 views1 answer
Django select_related multiple tables
Python
0 vote160 views1 answer
Limit of list in python
Python