Power of array

>> import numpy as np 

>> x1 = np.arange(6)

>> x1
[0, 1, 2, 3, 4, 5]

>> np.power(x1, 3)
array([  0,   1,   8,  27,  64, 125])

# allso works with raising one array to the power of another 
>> x2 = np.array([[1, 2, 3, 3, 2, 1], [1, 2, 3, 3, 2, 1]])

>> x2
array([[1, 2, 3, 3, 2, 1],
       [1, 2, 3, 3, 2, 1]])

>> np.power(x1, x2)
array([[ 0,  1,  8, 27, 16,  5],
       [ 0,  1,  8, 27, 16,  5]])

Similar codes

1 vote399 views4 answers
Flask activ environment
Python Flask
0 vote375 views1 answer
Bulk m4a to wav ffmepeg
Python
-4 votes354 views4 answers
Latest django version
Python Django
0 vote346 views1 answer
Model.fit(X_train, Y_train, batch_size=80, epochs=2, validation_split=0.1)
Python
0 vote357 views1 answer
What mean import in python
Python
23 votes330 views5 answers
Flask app example
Python
0 vote345 views1 answer
Write to file in p
Python
1 vote377 views1 answer
Python get last element of iterator
Python
3 votes406 views1 answer
How to remove coma in python
Python
6 votes334 views2 answers
Check if numpy arrays are equal
Python