To return the scalar type of highest precision of the same kind as the input, use the maximum_sctype() method in Python Numpy. The parameter is the input data type. This can be a dtype object or an object that is convertible to a dtype.
Steps
At first, import the required library −
import numpy as np
Using the maximum_sctype() method in Numpy. Get the scalar type of highest precision −
print("Result...",np.maximum_sctype(int)) print("Result...",np.maximum_sctype(np.uint8)) print("Result...",np.maximum_sctype(complex)) print("Result...",np.maximum_sctype(str)) print("Result...",np.maximum_sctype('f4')) print("Result...",np.maximum_sctype('i2')) print("Result...",np.maximum_sctype('i4')) print("Result...",np.maximum_sctype('i8'))
Example
import numpy as np # To return the scalar type of highest precision of the same kind as the input, use the maximum_sctype() method in Python Numpy # The parameter is the input data type. This can be a dtype object or an object that is convertible to a dtype. print("Using the maximum_sctype() method in Numpy\n") # Get the scalar type of highest precision print("Result...",np.maximum_sctype(int)) print("Result...",np.maximum_sctype(np.uint8)) print("Result...",np.maximum_sctype(complex)) print("Result...",np.maximum_sctype(str)) print("Result...",np.maximum_sctype('f4')) print("Result...",np.maximum_sctype('i2')) print("Result...",np.maximum_sctype('i4')) print("Result...",np.maximum_sctype('i8'))
Output
Using the maximum_sctype() method in Numpy Result... <class 'numpy.int64'> Result... <class 'numpy.uint64'> Result... <class 'numpy.complex256'> Result... <class 'numpy.str_'> Result... <class 'numpy.float128'> Result... <class 'numpy.int64'> Result... <class 'numpy.int64'> Result... <class 'numpy.int64'>