#29 Python Tutorial for Beginners | Ways of Creating Arrays in Numpy

Check out our courses:

Coupon: TELUSKO10 (10% Discount)

Coupon: TELUSKO10 (10% Discount)

Coupon: TELUSKO20 (20% Discount)

Udemy Courses:

For More Queries WhatsApp or Call on : [phone]

In this lecture we are discussing about:

-- Ways of creating arrays in numpy:
we have 6 way of creating arrays in numpy
a)array()
b)linspace()
c)arange()
d)logspace()
e)zeros()
f)ones()

from numpy import *
arr =array([1,2,3,4,5])
print(arr)

arr =array([1,2,3,4,5.0])
-- automatically it will convert the data type to float

arr =array([1,2,3,4,5],float)
-- we can also specify the data type of array

b) linspace()
-- it is used to create an array with equal interval between the elements
-- syntax: linspace(start,stop,num=50,endpoint=True,retstep=False,dtype=None)
arr=linspace(0,15,16) # here it break the range into 16 equal parts
-- by default it will take 50 parts

arr =linspace(0,15)
print(arr)

c) arange()
-- it is used to create an array with equal interval between the elements
-- syntax: arange(start,stop,step,dtype=None)
arr =arange(1,15,2)
print(arr)
-- it will create an array with start value 1 and end value 15 with step size 2
arr=arange(1,15,2.5)

d) logspace()
-- it is used to create an array with equal interval between the elements in log scale
-- syntax: logspace(start,stop,num=50,endpoint=True,base=10.0,dtype=None)
arr=logspace(1,40,5)
print(arr)

e) zeros()
-- it is used to create an array with all zeros
-- syntax: zeros(shape,dtype=float,order='C')
arr= zeros(5)
print(arr)

f) ones()
-- it is used to create an array with all ones
-- syntax: ones(shape,dtype=float,order='C')
arr=ones(5)
print(arr)

# if i want work with int
arr=ones(4,int)
print(arr)

Subscribe to our other channel:
Telusko Hindi :

Donation:
PayPal Id : navinreddy20
Patreon : navinreddy20

[service_to_krishna]

I started learning programming through this Python playlist. It's the BEST!

[minatisahoo]

Simple way to learn python, thanks for creating such excellent videos and keeping it free for everyone to learn .

[ob]

Hehe I am a total and complete n00b, you lost me at round lesson #21 to be honest, I am still going along to try and grasp the terminology etc. I think things will start coming together when I start doing practical examples. The material is incredible and I am loving it !

[rashmis]

thank fun learning with you....being cs student i was always afraid of coding...but the way you are teaching really creates interest and enjoy so much sir

[chaitanyabingumalla]

Sir, can u clearly explain what exactly is logspace(). What is meant that the values are divided on the basis of a logscale

[SammarpanDasguptaOfficial]

You increase my knowledge about python array to a higher level....You are really a genius

[gunasagarchinnu]

Sir please explain clearly logspace once again so many has doubts on that

[mahendrakumarraichur]

sir please explain the logspace() clearly, that is about how will the elements be divided any specific formula

[venkateswarans]

Hi Sir,

You are doing a great job.
I would like to give a feedback for this video. While importing module Numpy(or any other module) try to avoid using *, because it may have lots of functions with different names. In future, if we create a variable or method name with same name used in Numpy it may get conflict.
Import numpy as np
arr = np.array([1, 2])
It could be the better way.

[RAVINDERKUMAR-unhy]

sir please start a project so we can implement all things

[harishsingh]

Hello Sir, i have a question, in Automation testing which scripting language i should choose java or python for getting job quickly and getting more calls.

[b.sasikumar]

Ur teaching is paranormal to others teaching sir I would like to appreciate ur videos sir tq....

[SohailKhan-fbgb]

Difference beween linspace() and logspace():

Suppose you have a cake, and you ask linspace to cut it into 5 parts, linspace will cut it in five EQUAL parts, But if you ask logspace to cut the cake into 5 parts, it will cut the cake in five UNEQUAL parts. Everyone will get different sizes, just that it will cut in five parts that's it.

[omsaipotti]

Can you give us the PDF which will consist of all the concepts, methods to study and a better way to remember and study later
Pls consider my question sir pls

[siddharthrangnani]

add two arrays using for loop:


from numpy import *
arr=array([1, 2, 3, 4], int)
arr1=array([1, 1, 1, 1], int)
for a in arr+arr1:

print(a)

[vakhariyajay]

Thank you very much. You are a genius.

[swapnilkshirsagar]

sir, but what is the use of this zeros and ones function in array...& when it can be use

[maheshvangala]

Those who want Clarity on logspace()

The values that are given as input are log(base10) values
so if input is 2 the actual value is 10^2=100(^ means power)

logspace() follows Geometric Progression

It uses log(base 10) values. In simple Terms

Eg : logspace(2, 5, 3)

here 2 means 10 raised 2 times which is 100 (Prior Knowledge on log is required here)

and 5 means 10 raised 5 times which is

In Geometric Progression nth term is a*r^(n-1) (^ means power

here a value is 100
n is 3
last term (nth term)=



r^2=1000



so the 3 numbers are
,



So The 3 numbers are


Like If You Got Clarity

[danielkamau]

nice one Mr == right sir. can't stop learning and running this

[vivekkumar-jnwh]

addition of array is
from numpy import *
arr1=array([1, 2, 3, 4, 5])
arr2=array([6, 7, 18, 9, 2])
for i in range(5):
arr3 = arr1+arr2
print(arr3)