Array Manipulation | Splitting and Joining Arrays | NumPy Tutorials | Python Programming

In this Python Programming video tutorial you will learn about array manipulation in detail. Here We will discuss how to split and join given array in detail.
NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
Here we will discuss about concatenate hstack vstack and split function in detail.
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#numpy #Python
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[@krrishshylock6984]

awesone explanation sister.

[@Anonymous-1011]

voice is equally good as explanation

[@AJ-et3vf]

Awesome video! Thank you! Well done!

[@6-b-46bsricharan2]

Great explanation and a beautiful voice

[@AmulsAcademy]

Thank you :)

[@santoshwali3114]

good knowledge

[@siddhu2605]

Nice explanation on array concatenation and the correlation between the hstack and vstack with concatenate

[@AmulsAcademy]

Thank you :)

[@pro_planting]

You have explained amezingly... thank you so much ⭐✨💖

[@agrimhanda3059]

Rip Inglis 😇

[@arijitghosh5]

Nice Explanation, really helped me

[@AmulsAcademy]

Glad to hear that :)

[@praveenagrawal3035]

well explained Madam...... Thanks :)!!

[@AmulsAcademy]

Most welcome 😊

[@hindiisonlyalanguagenotkno913]

It is worth mentioning something here. The NumPy version you have installed shows the wrong error message @ 7:17. It should be "ValueError: all the input array dimensions except for the concatenation axis must match exactly". The word EXCEPT is missing. It shows the right message in Numpy version 1.15.2 .

[@0SIGMA]

insted of all the fucntions why cant we focus onyl on one function prefered concat

[@holebasupanishetti3762]

Good Going 🤗

[@AmulsAcademy]

Thank you :)

[@RaviSingh-dr2eh]

Very helpful video

[@AmulsAcademy]

Glad to hear that :)

[@roshanpais]

After splitting an array, is there a way to name the split arrays?

[@yanamadalaharishkumar5041]

we already concatenated 2 d and 1d array @ 6:24 , then why its getting error at 9:36

[@AmulsAcademy]

We can concatenate a and b along the axis 0 [@6:24] but we cant concatenate a and b along the axis 1 [@9:36].

[@soumenkoley5476]

Love u

[@AmulsAcademy]

Thank you 😊

[@deepaksinha8010]

import numpy as np
from numpy import random
x=np.array([[1,2,3],[4,5,5]])
y=np.array([[1,2,3],[4,5,5]])
print(np.concatenate((x,y),axis=1))
print(np.concatenate((x,y),axis=0))
print(np.sum(x,axis=0))
print(np.sum(x,axis=1))
question is in sum function 0 gives (5,7,8) and 1 gives (6,14) 0 gives column and 1 gives row calculation as per numpy rules 1 refer to column and 0 refer to row kindly clear this

[@AmulsAcademy]

Axis 0 add row values first in row 0 we have 1 and in row 1 we have 4 so it will give 5.....it works like that :)

[@The_Mankita]

Why don’t we can concatenate using from numpy import *

[@AmulsAcademy]

How ?

[@The_Mankita]

Print(concatenate((a,b),axis=1))

[@abhishekshukla9373]

Velvet and Silky voice

[@AmulsAcademy]

Thank you 😊

[@suneel8480]

what is your age??