Numpy empty_like() to get array of same input shape and type array

numpy.empty_like(prototype, dtype=None, order='K', subok=True, shape=None)

Return array of same shape and type of input proto_type.

`proto_type`	Input array to use shape and type
`shape`	Int, or sequence ( 2,3), shape of the output array
`dtype`	data-type( Optional ), Data Type of returned array.
`order`	{'C','F'} Optional, how the output is to be stored. C- style or Fortan style

Examples

import numpy as np
ar=np.array([4,7,9])
ar=np.empty_like(ar)
print(ar)

Output

[4 7 9]

dtype

import numpy as np
ar=np.array([4,7,9])
ar_l=np.empty_like(ar,dtype=np.int64)
print(ar_l)

Output

[4 7 9]

dtype=str

import numpy as np
ar=np.array([4,7,9])
ar_l=np.empty_like(ar,dtype=str)
print(ar_l)

Output

['' '' '']

dtype=float

import numpy as np
ar=np.array([4,7,9])
ar_l=np.empty_like(ar,dtype=float)
print(ar_l)

Output

[2.0e-323 3.5e-323 4.4e-323]

Using shape

import numpy as np
ar=np.array([4,7,9])
ar_l=np.empty_like(ar,shape=(2,3))
print(ar_l)

Output

[[36598224        0        0]
 [       0        0        0]]

empty()
Numpy eye() bincount() arange() linspace()

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