python实现excel和csv中的vlookup函数示例代码

import pandas as pd
import openpyxl
import os

shu = r'D:/Python_Project/data_analysis/csdn/pandas/pandas合并excel/源文件/蜀.xlsx'
#删除指定行
df_shu = pd.read_excel(shu)
selected_rows = df_shu.loc[df_shu["国家"] == "晋"]
print(selected_rows)

df_shu = df_shu.drop(selected_rows.index)
print(df_shu)

#保存至excel
df_shu.to_excel(shu, index=False)

import pandas as pd
import openpyxl
import os

shu = r'D:/Python_Project/data_analysis/csdn/pandas/pandas合并excel/源文件/蜀.xlsx'
wei = r'D:/Python_Project/data_analysis/csdn/pandas/pandas合并excel/源文件/魏.xlsx'
wu = r'D:/Python_Project/data_analysis/csdn/pandas/pandas合并excel/源文件/吴.xlsx'
#删除指定行
df_shu = pd.read_excel(shu)
df_wei = pd.read_excel(wei)
df_wu = pd.read_excel(wu)

#查看最大行数
workbook = openpyxl.load_workbook(wei)
worksheet = workbook['Sheet1']
max_row = worksheet.max_row

print(max_row)

import pandas as pd
import openpyxl
import os

shu = r'D:/Python_Project/data_analysis/csdn/pandas/pandas合并excel/源文件/蜀.xlsx'
wei = r'D:/Python_Project/data_analysis/csdn/pandas/pandas合并excel/源文件/魏.xlsx'
wu = r'D:/Python_Project/data_analysis/csdn/pandas/pandas合并excel/源文件/吴.xlsx'
#删除指定行
df_shu = pd.read_excel(shu)
df_wei = pd.read_excel(wei)
df_wu = pd.read_excel(wu)

#两张表进行上下拼接
df = pd.concat([df_shu, df_wei, df_wu])

# 将合并后的数据写入新的Excel文件
df.to_excel(r"D:/Python_Project/data_analysis/csdn/pandas/pandas合并excel/源文件/三国.xlsx", index=False)

import pandas as pd
import openpyxl
import os

#两张表进行vlookup
sanguo = r'D:/Python_Project/data_analysis/csdn/pandas/pandas合并excel/源文件/三国.xlsx'
wuqi = r'D:/Python_Project/data_analysis/csdn/pandas/pandas合并excel/源文件/武器.xlsx'

df_sanguo = pd.read_excel(sanguo)
df_wuqi = pd.read_excel(wuqi)

df=pd.merge(df_sanguo, df_wuqi, how= 'left',left_on = '人物', right_on = '名称')
print(df)