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data_analysis13

news 来源：原创 2025/6/18 21:52:27

笔记

import numpy as np

us_file_path = "./data/US_video_data_numbers.csv"
uk_file_path = "./data/GB_video_data_numbers.csv"

# t1 = np.loadtxt(us_file_path, delimiter=",",dtype="int",unpack=True)
t2 = np.loadtxt(us_file_path, delimiter=",",dtype="int")

# print(t1)
# print("*"*100)
print(t2)
print("*"*100)

# 取行
print(t2[2])

# 取连续的多行
print(t2[2:])

# 取不连续的多行
print(t2[[2,8,10]])

print(t2[1:])
print(t2[2:,:])
print(t2[[2,10,3],:])
print(t2[:,0])
print("*"*100)

# 取连续的多列
print(t2[:,2:])

# 取不连续的多列
print(t2[:,[0,2]])
print("*"*100)

# 取多行和多列，取第三行第四列的值
a = t2[2,3]
print(a)
print(type(a))

# 取多行和多列，取第三行到第五行，第二列到第四列的结果
# 取的是行和列交叉点的位置
b = t2[2:5,1:4]
print(b)
print("*"*100)

# 取多个不相邻的点
# 选出来的结果是(0,0) (2,1) (2,3)
c = t2[[0,2,2],[0,1,3]]
print(c)


# a = np.arange(24).reshape((4,6))
# print(a)
# # 数据行列转换
# print(a.transpose())
# print()
# print(a.T)
# print()
# print(a.swapaxes(1,0))
# print("*"*100)