Below I will share with you an article on how to view the numpy array attributes of the python3 library. It has a good reference value and I hope it will be helpful to everyone. Let’s come and take a look
The example is as follows:
import numpy as np a1 = np.array([1,2,3,4],dtype=np.complex128) print(a1) print("数据类型",type(a1)) #打印数组数据类型 print("数组元素数据类型:",a1.dtype) #打印数组元素数据类型 print("数组元素总数:",a1.size) #打印数组尺寸,即数组元素总数 print("数组形状:",a1.shape) #打印数组形状 print("数组的维度数目",a1.ndim) #打印数组的维度数目
However, it is more convenient to construct a function that can display the array attributes at once
import numpy as np def arrayinfo(a1): """一次性呈现数组的许多信息""" a2 = np.array([1,2]) #创建一个参照物数组 if type(a1) != type(a2): #判断传入参数是否为数组类型 print("It's not an numpy.ndarray") return None print(a1) print("数据类型",type(a1)) #打印数组数据类型 print("数组元素数据类型:",a1.dtype) #打印数组元素数据类型 print("数组元素总数:",a1.size) #打印数组尺寸,即数组元素总数 print("数组形状:",a1.shape) #打印数组形状 print("数组的维度数目",a1.ndim) #打印数组的维度数目 arrayinfo(a1)
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