Python：数据框中的类字典对象到新数据框

Question

Hello I've done some webscraping and I have a dictionary-like object that is in one of the columns of my dataframe.

data.offerAggregate.property_aggregate.property.floors is the column name and the rest is a value inside the column.

data.offerAggregate.property_aggregate.property.floors
0  [{'units': [{'features': [{'Code': 'chairs', 'Exists': True}, {'Code': 'window', 'Exists': True}, {'Code': 'balcony', 'Exists': True}, {'Code': 'fridge', 'Exists': True}, {'Code': 'stove', 'Exists': True}, {'Code': 'oven', 'Exists': True}, {'Code': 'microwave', 'Exists': True}, {'Code': 'washing-machine', 'Exists': True}, {'Code': 'dryer', 'Exists': False}, {'Code': 'dishwasher', 'Exists': False}, {'Code': 'table', 'Exists': True}]}, {'features': [{'Code': 'toilet', 'Exists': True}, {'Code': 'sink', 'Exists': True}, {'Code': 'bathtub', 'Exists': False}, {'Code': 'shower', 'Exists': True}]}, {'features': [{'Code': 'wardrobe', 'Exists': True}, {'Code': 'chest-of-drawers', 'Exists': True}, {'Code': 'desk', 'Exists': True}, {'Code': 'chairs', 'Exists': True}, {'Code': 'sofa', 'Exists': False}, {'Code': 'sofa-bed', 'Exists': False}, {'Code': 'window', 'Exists': True}, {'Code': 'balcony', 'Exists': False}, {'Code': 'tv', 'Exists': False}]}, {'features': [{'Code': 'desk', 'Exists': False}, {'Code': 'chairs', 'Exists': True}, {'Code': 'sofa', 'Exists': True}, {'Code': 'sofa-bed', 'Exists': False}, {'Code': 'coffee-table', 'Exists': False}, {'Code': 'table', 'Exists': True}, {'Code': 'tv', 'Exists': False}]}, {'features': [{'Code': 'chest-of-drawers', 'Exists': True}, {'Code': 'desk', 'Exists': True}, {'Code': 'chairs', 'Exists': True}, {'Code': 'sofa', 'Exists': False}, {'Code': 'sofa-bed', 'Exists': False}, {'Code': 'window', 'Exists': True}, {'Code': 'balcony', 'Exists': False}]}]}]

What I would like to end up with is a new dataframe that has the Code values as the column names and the Exists values as the column value. So instead of {'Code': 'chairs', 'Exists': True} , I would have chairs True

I tried making it into a json object so I can access the keys and store them into a new dataframe, but I'm getting errors.

df_floors = pd.DataFrame(df['data.offerAggregate.property_aggregate.property.floors'])

jsonObj = df_floors.to_json(orient='records')

print(jsonObj['Code'])
TypeError: string indices must be integers

I'm not sure if this is the right approach but any ideas or help is much appreciated!

Answer 1

检查jsonObj的格式，以便查看其是否符合您的期望。

print(jsonObj) 

Answer 2

pd.DataFrame(row[0]['units'][0]['features'])

produces:

               Code  Exists
0            chairs    True
1            window    True
2           balcony    True
3            fridge    True
4             stove    True
5              oven    True
6         microwave    True
7   washing-machine    True
8             dryer   False
9        dishwasher   False
10            table    True

or

---

print(pd.DataFrame([{x['Code']: x['Exists'] for x in row[0]['units'][0]['features']}]))

produces:

   balcony  chairs  dishwasher  dryer  fridge  microwave  oven  stove  table  
0     True    True       False  False    True       True  True   True   True