Pandas, DataFrame: Splitting one column into multiple columns

Question

I have the following DataFrame. I am wondering whether it is possible to break the data column into multiple columns. E.g., from this:

ID       Date             


        

Answer 1

Here is a function that can convert the string to a dictionary and aggregate values based on the key; After the conversion it will be easy to get the results with the pd.Series method:

def str_to_dict(str1):
    import re
    from collections import defaultdict
    d = defaultdict(int)
    for k, v in zip(re.findall('[A-Z]', str1), re.findall('\d+', str1)):
        d[k] += int(v)
    return d

pd.concat([df, df['dictionary'].apply(str_to_dict).apply(pd.Series).fillna(0).astype(int)], axis=1)