如何用帶有逗號分隔符和空格的pandas解析csv？

Question

我目前有以下data.csv ，它有逗號分隔符：

name,day
Chicken Sandwich,Wednesday
Pesto Pasta,Thursday
Lettuce, Tomato & Onion Sandwich,Friday
Lettuce, Tomato & Onion Pita,Friday
Soup,Saturday

解析器腳本是：

import pandas as pd


df = pd.read_csv('data.csv', delimiter=',', error_bad_lines=False, index_col=False)
print(df.head(5))

輸出是：

Skipping line 4: expected 2 fields, saw 3
Skipping line 5: expected 2 fields, saw 3

               name        day
0  Chicken Sandwich  Wednesday
1       Pesto Pasta   Thursday
2              Soup   Saturday

我該如何處理Lettuce, Tomato & Onion Sandwich 。 每個項目應該分開,但項目中可能有逗號后跟空格。 所需的輸出是：

                               name        day
0                  Chicken Sandwich  Wednesday
1                       Pesto Pasta   Thursday
2  Lettuce, Tomato & Onion Sandwich     Friday
3      Lettuce, Tomato & Onion Pita     Friday
4                              Soup   Saturday

Answer 1

這可能有所幫助。

import pandas as pd
p = "PATH_TO.csv"
df = pd.read_csv(p, delimiter='(,(?=\S)|:)')
#print(df.head(5))
print "-----"
print df["name"]
print "-----"
print df["day"]

輸出：

-----
0                    Chicken Sandwich
1                         Pesto Pasta
2    Lettuce, Tomato & Onion Sandwich
3        Lettuce, Tomato & Onion Pita
4                                Soup
Name: name, dtype: object
-----
0    Wednesday
1     Thursday
2       Friday
3       Friday
4     Saturday
Name: day, dtype: object

Answer 2

另一種適用於其他情況的替代方案。 好的，這很難看。

import pandas as pd
from io import StringIO

for_pd = StringIO()
with open('theirry.csv') as input:
    for line in input:
        line = line.rstrip().replace(', ', '|||').replace(',', '```').replace('|||', ', ').replace('```', '|')
        print (line, file=for_pd)
for_pd.seek(0)

df = pd.read_csv(for_pd, sep='|')

print (df)

結果：

                               name        day
0                  Chicken Sandwich  Wednesday
1                       Pesto Pasta   Thursday
2  Lettuce, Tomato & Onion Sandwich     Friday
3      Lettuce, Tomato & Onion Pita     Friday
4                              Soup   Saturday