loadtxt(fname, dtype=float, delimiter=None, skiprows=0, usecols=None, unpack=False)

# fname： 文件名称

# dtype: 数据类型

# delimiter: 分隔符

# skiprows: 跳过的行数

# usercols: 读取指定的列

# unpack: 转换位置

import numpy as np

arr1 = np.loadtxt('./test.csv', delimiter=',', dtype=int)

print(arr1)

print(arr1.dtype)

import numpy as np

arr1 = np.loadtxt('./test.csv', delimiter=',', dtype=int, unpack=True)

print(arr1)

import numpy as np

arr1 = np.arange(2, 14).reshape(3, 4)

print(arr1)

print('=' * 30)

arr2 = np.transpose(arr1)

print(arr2)

arr1 = np.arange(2, 14).reshape(3, 4)

print(arr1)

print('=' * 30)

arr2 = np.swapaxes(arr1, 1, 0)

print(arr2)

import numpy as np

arr1 = np.arange(2, 14).reshape(3, 4)

print(arr1)

print('=' * 30)

arr2 = arr1.T

print(arr2)