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

What about something like:

import pandas as pd

# Create mock dataframe
df = pd.DataFrame([
    [20, 30, {'ab':1, 'we':2, 'as':3}, 'String1'],
    [21, 31, {'ab':4, 'we':5, 'as':6}, 'String2'],
    [22, 32, {'ab':7, 'we':8, 'as':9}, 'String2'],
], columns=['Col A', 'Col B', 'Col C', 'Col D'])

# Create dataframe where you'll store the dictionary values
ddf = pd.DataFrame(columns=['AB','WE','AS'])

# Populate ddf dataframe
for (i,r) in df.iterrows():
    e = r['Col C']
    ddf.loc[i] = [e['ab'], e['we'], e['as']]

# Replace df with the output of concat(df, ddf)
df = pd.concat([df, ddf], axis=1)

# New column order, also drops old Col C column
df = df[['Col A', 'Col B', 'AB', 'WE', 'AS', 'Col D']]

print(df)

Output:

   Col A  Col B  AB  WE  AS    Col D
0     20     30   1   2   3  String1
1     21     31   4   5   6  String2
2     22     32   7   8   9  String2