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

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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)
print(arr.dtype) # int32

arr =array([1,2,3,4,5.0])
print(arr.dtype) # float
— automatically it will convert the data type to float

arr =array([1,2,3,4,5],float)
print(arr.dtype) # 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)

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