Joining or Concatenating 2-D NumPy Arrays in Python | XII I.P. Complete Course 2020

This video explains how concatenate, hstack and vstack methods are used in Python to join -d arrays.
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[eboy]

Very very thank you mam, I get it in 1st attempt. Keep up the good work 👍
BTW- my mother name is also Anjali 😁

[kingofjaat]

0 means row wise 1 means column wise.... 😊

[astha]

Axis 0 is usred to concatenate array row wise while axis 1 is used to concatenate array column wise.

[sangeethasa]

By default its 0.
0 to concatenate row wise.
Axis 1 is to concatenate column wise

[shrutigupta]

i)when axis is 0 the the concatenated matrix will print vertically.By default the axis is always 0.
ii)when axis is 1 the the concatenated row is printed horizontally.
we can also use hstack to print horizontally and vstack to print vertically.

[_KITISH]

in concatenate 0 means row wise and axis 1 means column wise joining

[jatbalwan]

Axis=0 leads to vertical joining of array while axis=1 leads to horizontal joining
And also in O axis rows increase while in axis =1 columns increase 😇

[adarshkanojia]

Mam thank u very much for upload python am very thankful to you mam😊😊

[jyotidubey]

Axis=0 it stand for vertical concatination of data and Axis=1 is stad for horizontal concatination of data.

[dr.amrendrakumar]

Axis 0 is used to concatenate array in row wise while axis 1 is used to concatenate array in column wise.

[mukeshgupta-kebd]

Mam slicing mai jab apne[ :2] use kiya ye smjh nahi aya

[AnkitKumar-gdxx]

Axis O results to join vertically

And axis 1, to join horizontall, I.e. on same horizontal axis☺

[vineetnayak]

0 axis - row wise concatenate
1 axis- columns wise concatenate

[parmanandsingh]

When Axis = 0 then it arrange the data in vertical way and when axis =1 then it arrange the data in horizontal way .

[arshdeepgill]

(axis =0) means row wise or vertically, which is by default and we don't need to mention this if we simply performing row wise joining.
(axis =1) means column wise or horizontally and we are supposed to mention this statement if we want outcome in column wise manner.

[anmolsh]

np.concatenate((ar1, ar2), axis=0)

When axis is 0
It means the joining of two array having same shape vertically.


When axis=1
It means joining two array horizontally.

[harshitasrivastava]

Axis-0 concatenate vertically and axis-1 concatenate horizontally

[VineetKumar-ovig]

i think you should do back exercise of ch1 12 th ip new syllbi..

[_kavita_]

In concatenate axis equal to zero means it will add row in vertical

[divijjasuja]

by default its 0.
0 means row wise and 1 means column wise