Answers for "np.log"

6

np.hstack

# np.hstack concatenates arrays column-wise

a = np.array([1], [2], [3]) #read as a vector, i.e. a column
b = np.array([4], [5], [6]) #read as a vector, i.e. a column 
							#concatenated to the first one
c = np.hstack((a, b)))
print(c)
# output is
# [[1, 4],
#  [2, 5],
#  [3, 6]]
Posted by: Guest on June-30-2020
0

np.stack

>>> a = np.array([1, 2, 3])
>>> b = np.array([2, 3, 4])
>>> np.stack((a, b))
array([[1, 2, 3],
       [2, 3, 4]])
Posted by: Guest on July-17-2020

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