Update columns with duplicate values from the DataFrame in Pandas

I have a data set which has values for different columns as different entries with first name to identify the respective columns. For instance James’s gender is in first row and James’s age is in 5th row.

DataFrame df1=

Index	First Name	Age	Gender	Weight in lb	Height in cm
0	James		Male
1	John			175
2	Patricia	23
5	James	22
4	James			185
5	John	29
6	John				176

I am trying to make it combined into one DataFrame as below df1=

Index	First Name	Age	Gender	Weight	Height
0	James	22	Male	185
1	John	29		175	176
2	Patricia	23

I tried to do groupby but it is not working.

Answer

Assuming NaN in the empty cells, you can use groupby.first:

df.groupby('First Name', as_index=False).first()

output:

  First Name   Age Gender  Weight in lb  Height in cm
0      James  22.0   Male         185.0           NaN
1       John  29.0   None         175.0         176.0
2   Patricia  23.0   None           NaN           NaN