NumPy笔记：多维度数组

"""
    多维数组
"""
import numpy as np
 
print("--------------多维数组----------------")
data = np.array(3)
data1 = np.array([1, 2, 3, 4, 5, 6])
data2 = np.array([[1, 2, 3, 4, 5, 6]])
data3 = np.array([[[1, 2, 3, 4, 5, 6]]], dtype=float)
 
print("标量：", data, data.shape, type(data), data.dtype)
print("数组：", data1, data1.shape, type(data1), data1.dtype)
print("矩阵：", data2, data2.shape, type(data2), data2.dtype)
print("张量：", data3, data3.shape, type(data3), data3.dtype)

--------------多维数组----------------
标量： 3 () <class 'numpy.ndarray'> int32
数组： [1 2 3 4 5 6] (6,) <class 'numpy.ndarray'> int32
矩阵： [[1 2 3 4 5 6]] (1, 6) <class 'numpy.ndarray'> int32
张量： [[[1. 2. 3. 4. 5. 6.]]] (1, 1, 6) <class 'numpy.ndarray'> float64

 

标签：dtype,多维度,笔记,data,np,print,NumPy,data3,data2
来源： https://www.cnblogs.com/jumpkin1122/p/11503590.html