在数据框的每一行中添加两个已经在字典中的字典

Question

I have dictionary that has two dictionaries inside it in each row of a column. Column name is 'price' and I have written two rows here:

row1 = {'offer_price': {'currency': 'GBP', 'value': 35.0}, 'regular_price': {'currency': 'GBP', 'value': 35.0}}

row2 = {'offer_price': {'currency': 'GBP', 'value': 55.0}, 'regular_price': {'currency': 'GBP', 'value': 55.0}}

I need to create a dataframe that has three columns, namely 'offer_price', 'regular_price' and 'currency', with the 'value' in both price columns and GBP in currency column.

I have tried but I am not getting the required dataframe

df1 = pd.DataFrame()

for rows in df.price:

    x = pd.DataFrame(rows)

    df1 = df1.append(x)

Answer 1

You could use this command

pd.DataFrame.from_dict(row1)

It will permits you to create Dataframe from dict.

Result for 'row1'

You can find documentation here: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.from_dict.html

I hope it will helps you !