所以我有两个文本文件,“pt1.txt”和“pt2.txt”
“pt1.txt”的内容:
Name,ICO,Max,USD_ROI
Bitcoin,0.0,19535.7,N/A
Ethereum,0.0,1389.18,N/A
Ripple,0.0,3.6491,N/A
Bitcoin Cash,0.0,4091.7,N/A
EOS,0.99,21.4637,2068.05%
Cardano,0.0,1.27977,N/A
Stellar,0.0,0.851652,N/A
“pt2.txt”的内容:
BTC_ROI,ETH_ROI
N/A,N/A
N/A,N/A
N/A,N/A
N/A,N/A
N/A,N/A
-260.77%,-130.75%
N/A,N/A
N/A,N/A
我想通过将“pt2.txt”的内容添加到“pt1.txt”中来组合“pt1.txt”和“pt2.txt”
这是我的代码:
import pandas as pd
f = open("pt1.txt","w+")
df = pd.read_csv("pt2.txt")
f.write(df["BTC_ROI"])
f.write(df["ETH_ROI"])
我收到一条错误消息:
TypeError: write() argument must be str, not Series
如何更改我的代码,使“pt1.txt”最终看起来像这样?
Name,ICO,Max,USD_ROI,BTC_ROI,ETH_ROI
Bitcoin,0.0,19535.7,N/A,N/A,N/A
Ethereum,0.0,1389.18,N/A,N/A,N/A
Ripple,0.0,3.6491,N/A,N/A,N/A
Bitcoin Cash,0.0,4091.7,N/A,N/A,N/A
EOS,0.99,21.4637,2068.05%,-260.77%,-130.75%
Cardano,0.0,1.27977,N/A,N/A,N/A
Stellar,0.0,0.851652,N/A,N/A,N/A
最佳答案
您正在尝试向现有 CSV 添加列。最简单的方法是将两个帧读入内存,concat
,然后转储它们。
df1 = pd.read_csv('pt1.txt')
df2 = pd.read_csv('pt2.txt')
(pd.concat([df1, df2], axis=1)
.to_csv('pt2.txt', index=False, na_rep='N/A')
)
如果您的数据足够小,这是最简单的事情。
关于python - 水平连接两个 CSV 文件,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/50961460/