通过使用 Pandas Python 删除和转换列来格式化 csv 文件

Question

I want to modify a data frame in python with the pandas function. So I want to delete the first and the 7th column (Unix Timestamp, Close) . I have also moved the column Symbol to the end of the columns. How could I do these transformations to the csv file below. I want the formats to be written in the csv file permanently, would this be possible?

import pandas as pd
url= input.csv
data = pd.read_csv(url, low_memory=False)

original csv:

Formatted csv/Expected Output:

Answer 1

Firstly drop your columns by drop() method:-

data=data.drop(columns=['Unix Timestamp','Close'])

Now use pop() method:-

symbol=data.pop('Symbol')

Finally:-

data['Symbol']=symbol

After that if you wants to change the contents of csv file then save this data to your csv file by to_csv() method

data.to_csv(url)

Note:- If you don't want to save index then pass index=False in to_csv() method