Numpy shape to get row column and dimension of the array

Numpy

numpy.shape(shape, dtype=None, order='C')

Return tuple with details of the array.

`a`	array input

Shape() returns a tuple giving shape of the array. Number of rows , columns and dimension of the array.

Let us check how different dimensional arrays returns the value as tuple when we use shape().

One Dimensional array ( 1-D )  : (n, ) :tuple elements = 1 
Two Dimensional array ( 2-D )  : (n,m )   :tuple elements  = 2
Three Dimensional array ( 3-D) : (n,m,j)  : tuple elements  = 3 
Four Dimensional array ( 4-D ) : (n,m,j,k): tuple  elements = 4


Shape: (3, 4) Dimension 2	Shape: (4, 3) Dimension 2

You can read more on how to create arrays by using ones(). We will input different shapes to create the array by using ones().

Along with shape() we will display the dimainsion of the array by using ndim

One dimensional array

import numpy as np
ar=np.ones((3,))
print(ar)
print("Shape: ", ar.shape)
print("Dimension ", ar.ndim)

Output

[1. 1. 1.]
Shape:  (3,)
Dimension  1

Two dimensional array

import numpy as np
ar=np.ones((3,2))
print(ar)
print("Shape: ", ar.shape)
print("Dimension ", ar.ndim)

Output

[[1. 1.]
 [1. 1.]
 [1. 1.]]
Shape:  (3, 2)
Dimension  2

Three dimensional array

import numpy as np
ar=np.ones((3,2,3))
print(ar)
print("Shape: ", ar.shape)
print("Dimension ", ar.ndim)

Output

[[[1. 1. 1.]
  [1. 1. 1.]]

 [[1. 1. 1.]
  [1. 1. 1.]]

 [[1. 1. 1.]
  [1. 1. 1.]]]
Shape:  (3, 2, 3)
Dimension  3

Four dimensional array

import numpy as np
ar=np.ones((3,2,3,4))
print(ar)
print("Shape: ", ar.shape)
print("Dimension ", ar.ndim)

Output

[[[[1. 1. 1. 1.]
   [1. 1. 1. 1.]
   [1. 1. 1. 1.]]

  [[1. 1. 1. 1.]
   [1. 1. 1. 1.]
   [1. 1. 1. 1.]]]


 [[[1. 1. 1. 1.]
   [1. 1. 1. 1.]
   [1. 1. 1. 1.]]

  [[1. 1. 1. 1.]
   [1. 1. 1. 1.]
   [1. 1. 1. 1.]]]


 [[[1. 1. 1. 1.]
   [1. 1. 1. 1.]
   [1. 1. 1. 1.]]

  [[1. 1. 1. 1.]
   [1. 1. 1. 1.]
   [1. 1. 1. 1.]]]]
Shape:  (3, 2, 3, 4)
Dimension  4

reshape() : Change shape or dimension of the input array

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

Python Tkinter Pandas Python- Tutorials

Subscribe to our YouTube Channel here

Numpy shape()

One dimensional array

Two dimensional array

Three dimensional array

Four dimensional array

Subscribe