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时装
法律寻找 Python 中标量值的最小数据类型
numpy.min_scalar() 方法查找最小数据类型。第一个参数是需要查找最小数据类型的值。对于标量，返回大小最小、标量类型最小的数据类型，它可以保存自己的值。对于非标量数组，返回矢量的 dtype 而不进行修改。浮点数不会降为整数，复杂值不会降为浮点数。
步骤
首先，导入必需的库 −
import numpy as np
numpy.min_scalar() 方法查找最小数据类型 −
print("Using the min_scalar() method in Numpy\n")
print("Result...",np.min_scalar_type(55))
print("Result...",np.min_scalar_type(38.9))
print("Result...",np.min_scalar_type(-78))
print("Result...",np.min_scalar_type(479))
print("Result...",np.min_scalar_type(2e100))
print("Result...",np.min_scalar_type(-45.8))
print("Result...",np.min_scalar_type(6.5e100))示例
# For scalar, returns the data type with the smallest size and smallest scalar kind which can hold its value.
# For non-scalar array, returns the vector’s dtype unmodified.
# Floating point values are not demoted to integers, and complex values are not demoted to floats.
import numpy as np
# The numpy.min_scalar() method finds the minimal data type.
# The 1st parameter is the value whose minimal data type is to be found.
print("Using the min_scalar() method in Numpy\n")
print("Result...",np.min_scalar_type(55))
print("Result...",np.min_scalar_type(38.9))
print("Result...",np.min_scalar_type(-78))
print("Result...",np.min_scalar_type(479))
print("Result...",np.min_scalar_type(2e100))
print("Result...",np.min_scalar_type(-45.8))
print("Result...",np.min_scalar_type(6.5e100))输出
Using the min_scalar() method in Numpy Result... uint8 Result... float16 Result... int8 Result... uint16 Result... float64 Result... float16 Result... float64
更新于： 28-2-2022
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