Question

我有以下数据框：

Index   Recipe_ID   order   content
0       1285        1       Heat oil in a large frypan with lid over mediu...
1       1285        2       Meanwhile, add cauliflower to a pot of boiling...
2       1285        3       Remove lid from chicken and let simmer uncover... 
3       1289        1       To make the dressing, whisk oil, vinegar and m...
4       1289        2       Cook potatoes in a large saucepan of boiling w..

任务：我需要在一个单元格中获取内容：

df = df.groupby('recipe_variation_part_id', as_index=False).agg(lambda x: x.tolist())

这将返回以下内容：

Index   Recipe_ID   order         content
0       1285        [1, 2, 3]     [Heat oil in a large frypan with lid over medi...
1       1289        [1, 2, 3]     [To make the dressing, whisk oil, vinegar and ...
2       1297        [1, 2, 4, 3]  [Place egg in saucepan of cold water and bring...
3       1301        [1, 2]        [Preheat a non-stick frying pan and pan fry th...
4       1309        [2, 3, 4, 1]  [Meanwhile, cook noodles according to package ...

如果您查看第一个食谱条目，则会得到以下信息：

['Heat oil in a large frypan with lid over medium-high heat. Cook onions, garlic and rosemary for a couple of minutes until soft. Add chicken and brown on both sides for a few minutes, then add in tomatoes and olives. Season with salt and pepper and allow to simmer with lid on for 20-25 minutes. ',
 'Meanwhile, add cauliflower to a pot of boiling water and cook for 10 minutes or until soft. Drain and then mash and gently fold in olive oil, parmesan, salt and pepper. ',
 'Remove lid from chicken and let simmer uncovered for five minutes more. Sprinkle with parsley then serve with cauliflower mash. ']

这就是我想要的，但是我需要去掉方括号

dtype =列表

我尝试过：

df.applymap(lambda x: x[0] if isinstance(x, list) else x)

仅返回第一个条目，而不是每个步骤

我尝试过：

df['content'].str.replace(']', '')

仅返回NAN

我尝试过：

df['content'].str.replace(r'(\[\[(?:[^\]|]*\|)?([^\]|]*)\]\])', '')

仅返回NAN

我尝试过：

df['content'].str.get(0)

仅返回第一个条目

任何帮助将不胜感激。

如果您需要其他任何信息，请告诉我。

Answer 1

我创建了一个小示例，可以为您解决此问题：

import pandas as pd
df = pd.DataFrame({'order': [1, 1, 2], 'content': ['hello', 'world', 'sof']})
df
Out[4]: 
   order content
0      1   hello
1      1   world
2      2     sof
df.groupby(by=['order']).agg(lambda x: ' '.join(x))
Out[5]: 
           content
order             
1      hello world
2              sof

因此，就像您在问题的第5行中一样，您使用' '.join(x)而不是tolist()，这会将所有内容都作为1个大字符串而不是字符串列表，因此没有[]

删除熊猫数据框中的列表

1 个答案: