将一个 CSV 的行值映射到另一个 CSV 的标题值并在 python 中编写一个新的 CSV 文件

Question

import numpy as np
import pandas as pd
import csv

data=np.loadtxt(open("ff.csv","rb"),delimiter=",",dtype=np.str)
print(data)

data1=np.loadtxt(open("x.csv","rb"),delimiter=",",dtype=np.str)
print(data1)

for i in range(1,len(data)):

    for j in range(len(data1[0])):

        if data[i] == data1[0][j]:
            print(data[i],",",data1[0][j])

            column = pd.read_csv("x.csv",usecols=[data1[0][j]])
            print(column)

This is first csv data name is in row

here data is in coloums

want to match row name with coloum name and save it into new csv according to match with row

output what I want here

Answer 1

Pandas is a useful tool here - you can pull your column names into a list, pass that list to your second sheet of data as a subset of columns to pull, and then save that dataframe to a new file.

data=pd.read_csv("ff.csv", header = 0)

data1=pd.read_csv("x.csv", header = 0)

column_list = data['Name'].to_list()
column_list.append('class')

data1[column_list].to_csv("newfile.csv",index=False)