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Return True if cast between scalar and data type can occur according to the casting rule in Python
The numpy.can_cast() method returns True if scalar and data type can occur according to the casting rule. The 1st parameter is the scalar or 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
Checking if scalar and data type can occur according to the casting rule. −
print("Checking with can_cast() method in Numpy\n")
print("Result...",np.can_cast(20, 'i1'))
print("Result...",np.can_cast(280, 'i1'))
print("Result...",np.can_cast(80, 'u1'))
print("Result...",np.can_cast(300.7, np.float32))
print("Result...",np.can_cast(120.6, np.float64))
print("Result...",np.can_cast(7.2e100, np.float32))
print("Result...",np.can_cast(6.5e100, np.float64))Example
import numpy as np
# The numpy.can_cast() method returns True if scalar and data type can occur according to the casting rule.
# The 1st parameter is the scalar or 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(20, 'i1'))
print("Result...",np.can_cast(280, 'i1'))
print("Result...",np.can_cast(80, 'u1'))
print("Result...",np.can_cast(300.7, np.float32))
print("Result...",np.can_cast(120.6, np.float64))
print("Result...",np.can_cast(7.2e100, np.float32))
print("Result...",np.can_cast(6.5e100, np.float64))Output
Checking with can_cast() method in Numpy Result... True Result... False Result... True Result... True Result... True Result... False Result... True
Updated on: 28-Feb-2022
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