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Return True if cast between data types can occur controlling what kind of data casting may occur 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. The 3rd parameter controls what kind of data casting may occur, with values ‘no’, ‘equiv’, ‘safe’, ‘same_kind’ and ‘unsafe’,
‘no’ means the data types should not be cast at all.
‘equiv’ means only byte-order changes are allowed.
‘safe’ means only casts which can preserve values are allowed.
‘same_kind’ means only safe casts or casts within a kind, like float64 to float32, are allowed.
‘unsafe’ means any data conversions may be done.
Steps
At first, import the required library −
import numpy as np
The numpy.can_cast() method returns True if cast between data types can occur according to the casting rule −
print("Checking with can_cast() method in Numpy\n")
The type "no" −
print("Result...",np.can_cast('i8', 'i8', 'no'))
print("Result...",np.can_cast('<i8', '>i8', 'no'))The type "equiv" −
print("Result...",np.can_cast('<i8', '>i8', 'equiv'))
print("Result...",np.can_cast('<i4', '>i8', 'equiv'))The type "safe" −
print("Result...",np.can_cast('i4', 'i8', 'safe'))
print("Result...",np.can_cast('i8', 'i4', 'safe'))The type "same_kind" −
print("Result...",np.can_cast('i8', 'i4', 'same_kind'))
print("Result...",np.can_cast('i8', 'i4', 'same_kind'))Example
import numpy as np
# The numpy.can_cast() method returns True if cast between data types can occur according to the casting rule.
print("Checking with can_cast() method in Numpy\n")
# The type "no"
print("Result...",np.can_cast('i8', 'i8', 'no'))
print("Result...",np.can_cast('<i8', '>i8', 'no'))
# The type "equiv"
print("Result...",np.can_cast('<i8', '>i8', 'equiv'))
print("Result...",np.can_cast('<i4', '>i8', 'equiv'))
# The type "safe"
print("Result...",np.can_cast('i4', 'i8', 'safe'))
print("Result...",np.can_cast('i8', 'i4', 'safe'))
# The type "same_kind"
print("Result...",np.can_cast('i8', 'i4', 'same_kind'))
print("Result...",np.can_cast('i8', 'i4', 'same_kind'))Output
Checking with can_cast() method in Numpy Result... True Result... False Result... True Result... False Result... True Result... False Result... True Result... True
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