Dictionary column in pandas dataframe

Question

I\'ve got a csv that I\'m reading into a pandas dataframe. However one of the columns is in the form of a dictionary. Here is an example:

ColA, ColB, ColC, C         


        

Answer 1

So starting with your one row df

    Col A   Col B   Col C                           Col D
0   20      30      {u'we': 2, u'ab': 1, u'as': 3}  String1

EDIT: based on the comment by the OP, I'm assuming we need to convert the string first

import ast
df["ColC"] =  df["ColC"].map(lambda d : ast.literal_eval(d))

then we convert Col C to a dict, transpose it and then join it to the original df

dfNew = df.join(pd.DataFrame(df["Col C"].to_dict()).T)
dfNew

which gives you this

    Col A   Col B   Col C                           Col D   ab  as  we
0   20      30      {u'we': 2, u'ab': 1, u'as': 3}  String1 1   3   2

Then we just select the columns we want in dfNew

dfNew[["Col A", "Col B", "ab", "we", "as", "Col D"]]

    Col A   Col B   ab  we  as  Col D
0   20      30      1   2   3   String1