Datawhale动手学习数据分析-Task3

数据重构

首先导入numpy、pandas包和数据文件

import numpy as np
import pandas as pd
# 载入data文件中的:train-left-up.csv
text = pd.read_csv(r'C:\Users\hp\hands-on-data-analysis-master\hands-on-data-analysis-master\第二章项目集合\data\train-left-up.csv')

1.数据合并

text_left_up = pd.read_csv("data/train-left-up.csv")
text_left_down = pd.read_csv("data/train-left-down.csv")
text_right_up = pd.read_csv("data/train-right-up.csv")
text_right_down = pd.read_csv("data/train-right-down.csv")

合并方法一：用concat函数

# 将数据train-left-up.csv和train-right-up.csv横向合并为一张表，并保存这张表为result_up
list_up = [text_left_up,text_right_up]
result_up = pd.concat(list_up,axis=1)
result_up.head()

# 将train-left-down和train-right-down横向合并为一张表，并保存这张表为result_down。
list_down=[text_left_down,text_right_down]
result_down = pd.concat(list_down,axis=1)

# 将上边的result_up和result_down纵向合并为result。
result = pd.concat([result_up,result_down])
result.head()

#合并方法二：使用DataFrame自带的方法join方法和append

resul_up = text_left_up.join(text_right_up)
result_down = text_left_down.join(text_right_down)
result = result_up.append(result_down)
result.head()

#合并方法三：使用Panads的merge方法和DataFrame的append方法

result_up = pd.merge(text_left_up,text_right_up,left_index=True,right_index=True)
result_down = pd.merge(text_left_down,text_right_down,left_index=True,right_index=True)
result = resul_up.append(result_down)
result.head()