# Numpy full()

Numpy

``numpy.full(shape, fill_value, dtype=None, order='C')``
Return array filled with fill_value of given shape and type.
 `shape` Int, or sequence ( 2,3), shape of the output array `fill_value` fill value to be used `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

## 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]]``

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