Numpy full()

Numpy

numpy.full(shape, fill_value, dtype=None, order='C')
Return array filled with fill_value of given shape and type.
shapeInt, or sequence ( 2,3), shape of the output array
fill_valuefill value to be used
dtypedata-type( Optional ), Data Type of returned array.
order{'C','F'} Optional, how the output is to be stored. C- style or Fortan style

Using shape

import numpy as np
ar=np.full((1,3),5)
print(ar) # [[5 5 5]]
Output
[[5 5 5]]
Let us use different value for shape
ar=np.full((3,3),5)
print(ar)
Output
[[5 5 5]
 [5 5 5]
 [5 5 5]]
ar=np.full((4,1),88)
print(ar)
Output
[[88]
 [88]
 [88]
 [88]]

dtype

We will try to return string dtype
ar=np.full((3,3),'a',dtype=str)
print(ar)
Output
[['a' 'a' 'a']
 ['a' 'a' 'a']
 ['a' 'a' 'a']]
dtype=float
ar=np.full((1,3),4,dtype=float)
print(ar)
Output
[[4. 4. 4.]]
dtype=int
ar=np.full((1,4),12,dtype=int)
print(ar)
Output
[[12 12 12 12]]
Numpy eye() bincount() arange() linspace()


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