Parsing a JSON string which was loaded from a CSV using Pandas

Question

I am working with CSV files where several of the columns have a simple json object (several key value pairs) while other columns are normal. Here is an example:

Answer 1

I think applying the json.load is a good idea, but from there you can simply directly convert it to dataframe columns instead of writing/loading it again:

stdf = df['stats'].apply(json.loads)
pd.DataFrame(stdf.tolist()) # or stdf.apply(pd.Series)

or alternatively in one step:

df.join(df['stats'].apply(json.loads).apply(pd.Series))