Regarding storing different data types in numpy arrays

#1

can we store different type of data in a single numpy array

like storing string in 1 column and storing integers in another column or same data type should be there for whole numpy array??

#2

Hey @amankharb, yes you are right, we can store different types of data in a single numpy array. It is possible to store string in 1 column and store integers in another column.

Hope this helps !
Happy Learning :slight_smile:

#3

i want to ask that if i have a numpy array of all integer values of shape m*n and then i want to change one of the columns datatype to string can we do that?? if yes how??

#4

as i am trying to do that but it is throwing an error

#5

No first you asked something else. If this is your case then you cannot change one of the columns datatype. But to achieve the same I would say that first store all your mixed data as a list and then convert that list into a numpy array. Something like this :

import numpy as np 
l=[['a',20,30],['a',20,"abc"],["abc",3,"aman"]]
m = np.array((l))
print(m)

Hope this helps.
Happy Learning :slight_smile:

#6

ok now i got it thankx bhaiya

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