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法律返回物件的Python型別的標量資料型別或NumPy等效型別
要返回物件的Python型別的標量資料型別或NumPy等效型別，請使用numpy.obj2sctype()方法。第一個引數是要返回其型別的物件。如果提供了預設引數，則返回無法確定其型別的物件。如果沒有給出，則為這些物件返回None。
步驟
首先，匯入所需的庫 -
import numpy as np
要返回物件的 Python 型別 的標量資料型別或 NumPy 等效型別，請使用 numpy.obj2sctype() 方法 -
print("Using the obj2sctype() method in Numpy
")檢查int -
print("Result...",np.obj2sctype(np.array([45, 89])))
print("Result...",np.obj2sctype(np.array([389, 7985])))檢查float -
print("Result...",np.obj2sctype(np.float32))
print("Result...",np.obj2sctype(np.float64))
print("Result...",np.obj2sctype(np.array([5., 25., 40.])))檢查complex -
print("Result...",np.obj2sctype(np.array([5.6j]))示例
import numpy as np
# To return the scalar dtype or NumPy equivalent of Python type of an object, use the numpy.obj2sctype() method.
# The 1st parameter is the object of which the type is returned
# The default parameter, if given, is returned for objects whose types cannot be determined.
# If not given, None is returned for those objects.
print("Using the obj2sctype() method in Numpy
")
# checking for int
print("Result...",np.obj2sctype(np.array([45, 89])))
print("Result...",np.obj2sctype(np.array([389, 7985])))
# checking for float
print("Result...",np.obj2sctype(np.float32))
print("Result...",np.obj2sctype(np.float64))
print("Result...",np.obj2sctype(np.array([5., 25., 40.])))
# checking for complex
print("Result...",np.obj2sctype(np.array([5.6j])))輸出
Using the obj2sctype() method in Numpy Result... <class 'numpy.int64'> Result... <class 'numpy.int64'> Result... <class 'numpy.float32'> Result... <class 'numpy.float64'> Result... <class 'numpy.float64'> Result... <class 'numpy.complex128'>
更新日期： 2022-02-24
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