One common error you may encounter when using Python is:
TypeError: 'numpy.float64' object does not support item assignment
This error usually occurs when you attempt to use brackets to assign a new value to a NumPy variable that has a type of float64.
The following example shows how to resolve this error in practice.
How to Reproduce the Error
Suppose we create some NumPy variable that has a value of 15.22 and we attempt to use brackets to assign it a new value of 13.7:
import numpy as np #define some float value one_float = np.float64(15.22) #attempt to modify float value to be 13.7 one_float = 13.7 TypeError: 'numpy.float64' object does not support item assignment
We receive the error that ‘numpy.float64’ object does not support item assignment.
We received this error because one_float is a scalar but we attempted to treat it like an array where we could use brackets to change the value in index position 0.
Since one_float is not an array, we can’t use brackets when attempting to change its value.
How to Fix the Error
The way to resolve this error is to simply not use brackets when assigning a new value to the float:
#modify float value to be 13.7 one_float = 13.7 #view float print(one_float) 13.7
We’re able to successfully change the value from 15.22 to 13.7 because we didn’t use brackets.
Note that it’s fine to use brackets to change values in specific index positions as long as you’re working with an array.
For example, the following code shows how to change the first element in a NumPy array from 15.22 to 13.7 by using bracket notation:
import numpy as np #define a NumPy array of floats many_floats = np.float64([15.22, 34.2, 15.4, 13.2, 33.4]) #modify float value in first index position of array to be 13.7 many_floats = 13.7 #view updated array print(many_floats) [13.7 34.2 15.4 13.2 33.4]
This time we don’t receive an error either because we’re working with a NumPy array so it makes sense to use brackets.
The following tutorials explain how to fix other common errors in Python: