Return True if cast between data types can occur according to the casting rule in Python

The numpy.can_cast() method returns True if cast between data types can occur according to the casting rule. The 1st parameter is the data type or array to cast from. The 2nd parameter is the data type to cast to.

Steps

At first, import the required library −

import numpy as np

Using the can_cast() to check if cast between data types can occur according to the casting rule −

print("Checking with can_cast() method in Numpy\n")
print("Result...",np.can_cast(np.int32, np.int64))
print("Result...",np.can_cast(np.float64, complex))
print("Result...",np.can_cast(complex, float))
print("Result...",np.can_cast('i8', 'f8'))
print("Result...",np.can_cast('i8', 'f4'))
print("Result...",np.can_cast('i4', 'S4'))

Example

import numpy as np

# The numpy.can_cast() method returns True if cast between data types can occur according to the casting rule.
# The 1st parameter is the data type or array to cast from.
# The 2nd parameter is the data type to cast to.

print("Checking with can_cast() method in Numpy\n")
print("Result...",np.can_cast(np.int32, np.int64))
print("Result...",np.can_cast(np.float64, complex))
print("Result...",np.can_cast(complex, float))
print("Result...",np.can_cast('i8', 'f8'))
print("Result...",np.can_cast('i8', 'f4'))
print("Result...",np.can_cast('i4', 'S4'))

Output

Checking with can_cast() method in Numpy

Result... True
Result... True
Result... False
Result... True
Result... False
Result... False