How to use astype() In Python

Q: How to use astype() In Python

when we have a list of values, and we want to change their type to prevent errors.

We can use the .astype() function and give the argument “int”. astype() function: When we need to convert a certain array of data from one type to another, the method comes in helpful.

Parameters

dtype: refers to data type of list, or dict of column name

copy: boolean value,in default it’s set to True

errors: {‘raise’, ‘ignore’}, default is ‘raise’

Python3

# code 
import numpy as np 
  
# an array of float values 
arr = np.array([1.5, 2.5, 3.5]) 
  
arr = arr.astype(int) 
  
# we loop to print out range of values 
# at each index 
for i in range(len(arr)): 
    print(range(arr[i])) 

Output:

range(0, 1)
range(0, 2)
range(0, 3)

How to Fix: ‘numpy.float64’ object cannot be interpreted as an integer

In this article, we are going to see how to fix: ‘numpy.float64’ object cannot be interpreted as an integer.

When a function or operation is applied to an object of the wrong type, a type error is raised. The ‘numpy.float64’ object cannot be interpreted as an integer is one example of this type of problem. Let’s see what we can do about that.