How to view numpy array attributes in python3 library

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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