Python 用 Panda 解析 csv 中的字符串值

Question

I am new to Python and I am trying to read a csv file using pandas but I have a bit of a problem within my csv file. I have strings which contains commas at the end and this creates an undesired column at towards the end as shown:

This is the raw csv:

For example, on line 14 , the green string value ends with a comma and creates a new column which then gives me parsing errors when using this:

import pandas as pd

pd.read_csv("data.csv")

ParserError: Error tokenizing data. C error: Expected 6 fields in line 8, saw 7

Is there a way I can clean up this and merge the last two columns?

Answer 1

You can use np.where to replace APP with the last column where APP is missing, then drop the last column.

import pandas as pd
import numpy as np
df = pd.read_csv("data.csv")
df['APP'] = np.where(df.app.isna(), df[-1], df.APP)
df = df.iloc[:,:-1]