Flatten Nested Json Into Pandas Dataframe Columns
I have a pandas column with nested json data string. I'd like to flatten the data into multiple pandas columns. Here's data from a single cell: rent['ques'][9] = '{'Rent': [{'Nam
Solution 1:
Try this:
df['quest'] = df['quest'].str.replace("'", '"')
dfs = []
for i in df['quest']:
data = json.loads(i)
dfx = pd.json_normalize(data, record_path=['Rent'], meta=[['Vacancy', 'Name'], ['Vacancy', 'Unit'], ['Vacancy', 'Value']])
dfs.append(dfx)
df = pd.concat(dfs).reset_index(drop=['index'])
print(df)
Name Value Unit Vacancy.Name Vacancy.Unit Vacancy.Value
0 Asking 16.07 Usd Vacancy Pct 25.341
1 Asking 16.07 Usd Vacancy Pct 25.341
2 Asking 16.07 Usd Vacancy Pct 25.341
Post a Comment for "Flatten Nested Json Into Pandas Dataframe Columns"