Hi,

In the course, i find sometimes the code is written as m=X.shape[0] and n=w.shape[1]. Can you tell me the difference between these 2 functions, .shape[0] and .shape[1], though both returns the number of columns in an array?

Hi,

In the course, i find sometimes the code is written as m=X.shape[0] and n=w.shape[1]. Can you tell me the difference between these 2 functions, .shape[0] and .shape[1], though both returns the number of columns in an array?

well,

`x.shape`

gives the dimensions of the array i,e m,n

if x is an array of 20,30

`m = x.shape[o]`

gives m = 20

you know indexing starts from 0 in python

let’s see for the same array x

`units = X.shape[1]`

gives units = 30

Hello @sanjay_shreesha

This is not true.

shape returns a tuple holding the dimensions of the array.

For example: an array X having 4 dimensions: with **2** elements in Dimension 1, **3** elements in Dim 2, **1** element in Dim 3 and **5** elements in dimension 4

X.shape = (2,3,1,5)

X.shape[0] = 2

X.shape[1] = 3

X.shape[2] = 1

X.shape[3] = 5

if X is a 2-d array with m rows and n columns. X.shape = (m,n)

X.shape[0] = m

X.shape[1] = n

Hi Shanup, Understood. Thank you for the explanation!