[英]Adding a row and appending values to columns in Pandas Python
I am trying to append 10, 5, 890, 50, Finish
for the Date,High,Low,Volume,Symbol
at the end of the input.csv
file.我正在尝试 append 10、5、890、50 10, 5, 890, 50, Finish
在input.csv
文件末尾为Date,High,Low,Volume,Symbol
完成。 It will format the contents of the csv file permanently so I use data.to_csv(url,index=False)
.它将永久格式化 csv 文件的内容,因此我使用data.to_csv(url,index=False)
。 How would I be able to do that?我怎么能做到这一点?
import pandas as pd
url= 'input.csv'
data = pd.read_csv(url, low_memory=False)
data.to_csv(url,index=False)
Current output:当前 output:
Date,High,Low,Volume,Symbol
2021-01-15 00:04:00,39358.98,39273.24,0.4786072902,BTCUSD
2021-01-15 00:03:00,39362.37,39166.19,0.2911817448,BTCUSD
2021-01-15 00:02:00,39187.06,39017.72,6.2488076695,BTCUSD
Expected output:预期 output:
Date,High,Low,Volume,Symbol
2021-01-15 00:04:00,39358.98,39273.24,0.4786072902,BTCUSD
2021-01-15 00:03:00,39362.37,39166.19,0.2911817448,BTCUSD
2021-01-15 00:02:00,39187.06,39017.72,6.2488076695,BTCUSD
10 , 5, 890, 50, Finish
Try with loc
:尝试使用loc
:
data = pd.read_csv(url, low_memory=False)
data.loc[len(data)] = [10 , 5, 890, 50, 'Finish' ]
data.to_csv(url,index=False)
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