numpy.core._exceptions._UFuncOutputCastingError: Cannot cast ufunc 'subtract' output from dtype('float64') to dtype('int32') with casting rule 'same_kind'

The error message indicates that you are trying to perform a subtraction operation in numpy that results in a type casting error. Specifically, you are trying to cast the output of the subtraction operation from a float64 type to an int32 type, which is not allowed with the "same_kind" casting rule.

One way to solve this issue is to explicitly specify the output data type of the operation to be float64 or int32, depending on your needs. Here is an example:

import numpy as np

# create two arrays with different data types
a = np.array([1, 2, 3], dtype=np.int32)
b = np.array([0.5, 1.5, 2.5], dtype=np.float64)

# perform subtraction operation with explicit output data type
c = np.subtract(a, b, dtype=np.float64)

# print result
print(c)

In this example, we explicitly specify the output data type of the subtraction operation to be float64 using the `dtype` parameter. This allows the operation to complete without any casting errors.

Alternatively, you can also use the `astype()` method to convert the data type of the array after the operation has completed. For example:

import numpy as np

# create two arrays with different data types
a = np.array([1, 2, 3], dtype=np.int32)
b = np.array([0.5, 1.5, 2.5], dtype=np.float64)

# perform subtraction operation and convert result to int32
c = np.subtract(a, b).astype(np.int32)

# print result
print(c)

In this example, we perform the subtraction operation first and then convert the data type of the result to int32 using the `astype()` method. This allows us to perform the operation without any casting errors and then convert the result to the desired data type.