pandas 如何在熊猫中用分隔符读取文件？
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How to read in file with delimiter in pandas?
提问by JimLohse
I am using the pandas library and how can I split the given dataframe into rows and columns based on comma seprated. Because if I try it gives the error it cannot seprate and throws following error.
我正在使用 Pandas 库，以及如何根据逗号分隔将给定的数据帧拆分为行和列。因为如果我尝试它会给出错误，它无法分离并引发以下错误。
6.1101,17.592
5.5277,9.1302
8.5186,13.662
7.0032,11.854
5.8598,6.8233
8.3829,11.886
And the above given line consist my dataset. And the code is:
上面给定的行包括我的数据集。代码是：
import pandas as pd
from sklearn import linear_model
import matplotlib.pyplot as plt
dataframe = pd.read_fwf("challenge_dataset.txt")
回答by omri_saadon
The pandas.read_fwfcan have delimiter argument.
该pandas.read_fwf可以有分隔符的说法。
dataframe = pd.read_fwf("challenge_dataset.txt", delimiter=",")
You can read more in pandas.read_fwf
您可以在pandas.read_fwf 中阅读更多内容
read_csvis automatically reads with comma separator, although you can change the delimiter argument in read_csvas well.
read_csv使用逗号分隔符自动读取，尽管您也可以更改分隔符参数read_csv。
回答by JimLohse
You need read_csv for comma separated values:
您需要 read_csv 逗号分隔值：
rt pandas as pd
dataframe = pd.read_csv("challenge_dataset.txt")
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html
