What is the numpy.can_cast() function in Python?
Overview
The numpy.can_cast() function in Python is used to check if we can cast between given data types according to the rules of casting. It will return True if the casting is possible and False if otherwise.
Syntax
numpy.can_cast(from_, to, casting='safe')
Parameter value
The numpy.can_cast() function takes the following parameter values:
from_: This represents the data type, scalar, or the array to cast from.to: This represents the data type, scalar, or the array to cast to.casting: This controls what kind of data casting is likely to occur. This parameter is optional.
Return value
The numpy.can_cast() function returns a Boolean value. It returns True if the casting can occur and False if it cannot.
Code example
import numpy as np# casting 32 bit int to 64 bit int data typea = np.can_cast(np.int32, np.int64)# casting a 64 bit float to a complex data typeb = np.can_cast(np.float64, complex)# casting a complex to a float data typec = np.can_cast(complex, float)print(a)print(b)print(c)
Code explanation
- Line 1: We import the
numpymodule. - Line 4: We use the
np.can_cast()function to check if we can cast from anint32data type to anint64data type. The Boolean value is assigned to a variablea. - Line 7: We use the
np.can_cast()function to check if we can cast from afloat64data type to acomplexdata type. The Boolean value is assigned to a variableb. - Line 10: We use the
np.can_cast()function to check if we can cast from acomplexdata type to afloatdata type. The Boolean value is assigned to a variablec. - Lines 12-14: We print the
a,b, andcvariables that contain the Boolean values.