Python

>>> np.diag(np.diag(x))
array([[0, 0, 0],
       [0, 4, 0],
       [0, 0, 8]])

x = [0, 4, 8]
print(np.diag(x))

# Output:
[[0, 0, 0],
 [0, 4, 0],
 [0, 0, 8]]

PREVIOUS	NEXT

Code Example
Python :: python list pop equivalent
Python :: deque in python
Python :: linear search in c++
Python :: scikit learn
Python :: prompt python
Python :: linked list python
Python :: python try except print error
Python :: random.random
Python :: count function in python
Python :: python double underscore methods
Python :: numpy array into tuple
Python :: python if in one line
Python :: python modules list
Python :: setup vs code for python
Python :: row count pandas
Python :: how to change title font size in plotly
Python :: isenable selenium python
Python :: pd column to one hot vector
Python :: python change font in 1 line
Python :: Python - Comment convertir le texte en discours
Python :: pdf reading shows gibberish python
Python :: Fifth step Creating Advance app in python django
Python :: best api for python
Python :: adding if statements in pyhton with tuple
Python :: python with statement local variables
Python :: pythonmodules.txt
Python :: sklearn mahalanobis distance
Python :: def LinearSearch(array, n, k):
Python :: dickyfuller test in python
Python :: python integrated with activeX