# Numpy empty()

Numpy

``numpy.empty(shape, dtype=float, order='C')``
Return array without initializing entries.
 `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

## Using shape

``````import numpy as np
ar=np.empty((1,3))
print(ar)``````
Output
``[[5.e-324 5.e-324 5.e-324]]``
Let us use different value for shape
``````ar=np.empty((4,2))
print(ar)``````
Output
``````[[3.02200272e-316 1.58101007e-322]
[2.07955588e-312 1.16151774e-046]
[4.81836453e-038 1.33694116e+165]
[1.93417383e+184 1.33511316e-306]]``````
``````ar=np.empty((4,1))
print(ar) ``````
Output
``````[[5.e-324]
[5.e-324]
[5.e-324]
[0.e+000]]``````

## dtype

We will try to return string dtype
``````import numpy as np
ar=np.empty(4,dtype=str)
print(ar) # ['' '' '' '']``````
Output
``['' '' '' '']``
dtype=float
``````ar=np.empty(4,dtype=float)
print(ar)``````
Output
``[5.e-324 5.e-324 5.e-324 0.e+000]``
dtype=int
``````ar=np.empty(4,dtype=int)
print(ar) # [1 1 1 0]``````
Output
``[1 1 1 0]``
``````ar=np.empty(4,dtype=np.int64)
print(ar) # [1 1 1 0]``````
Output
``[1 1 1 0]``

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