![]() ![]() flatten a portion of data, data and load into dataframe, ‘bookstores’.data is variable we save json dump coming in from http request.Situation: Before creating a dataframe as we saw above, sometimes we just need to convert nested JSON data. ![]() As a bonus, we’ll also use try-except(error handling) to handle an AttributeError.įinally, we’ll create the dataframe from lists.įor dct in df_manifest_24:Ĭircle_id_list_24.append(dct)ĭf_24 = pd.DataFrame(list(zip(name_list_24, address_list_24, circle_id_list_24)),Ĭolumns=) ![]() Second example, we’ll conditionally loop through the second level (a dictionary) to grab specific values. We’re going to loop through one level (list of dictionaries) and append data to empty lists. In one example, we’re looping through a particular endpoint fromĬoordinape. API endpoint, that is structured as a nested json, here’s how to loop through and select certain values into a dataframe for further processing. ![]()
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