CODEWITHSUNDEEP
pythonpandas
user3173363
user3173363

Reputation: 11

How to groupby a pandas dataframe

I have a pandas dataframe like this

StudentID   Grades
101 A
101 C
101 B
102 B
102 C

I need the output as below as another dataframe

StudentID   Grades
101 A,B,C
102 B,C

How to do this in pandas. When i groupby, it returns a groupby object and not a dataframe

Upvotes: 0

Views: 233

Answers (2)

HYRY
HYRY

Reputation: 97331

import pandas as pd
df = pd.DataFrame({
        'StudentID': [101,101,101,102,102],
        'Grades': ['A','C','B','B','C']
     })

df.groupby('StudentID').Grades.agg(",".join)

Upvotes: 2

YS-L
YS-L

Reputation: 14748

You can access the DataFrame you want via the returned groupby object:

import pandas as pd
df = pd.DataFrame({
        'StudentID': [101,101,101,102,102],
        'Grades': ['A','C','B','B','C']
     })
grouped = df.groupby('StudentID')
for student_id, df_student in grouped:
    print 'ID:', student_id
    print df_student

Output:

ID: 101
  Grades  StudentID
0      A        101
1      C        101
2      B        101
ID: 102
  Grades  StudentID
3      B        102
4      C        102

You can also access the DataFrame with a specific key

print grouped.get_group(101)

which will return the DataFrame with all StudentID being equal to 101.

Upvotes: 0

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