Reputation: 441
Is there any way to concatenate multiple rows into one as the exemple below:
Name Date_1 Date_2 Date_3
0 name1 11 NaT NaT
1 name1 NaT 12 NaT
2 name1 NaT NaT 43
3 name2 12 NaN NaT
4 name2 NaT Text NaT
So it could be NaT or NaN.
I'm looking to it:
Name Date_1 Date_2 Date_3
name1 11 12 43
name2 12 Text NaT
Thanks in advance
Upvotes: 1
Views: 1136
Reputation: 340
You haven't stated how you want to handle duplicates but to get the min/max you can use the following:
import pandas as pd
df = pd.DataFrame(
[
{"name": "name1", "date_1": 11},
{"name": "name1", "date_2": 12},
{"name": "name1", "date_3": 43},
{"name": "name2", "date_1": 12},
],
columns=["name", "date_1", "date_2", "date_3"],
)
df.groupby('name').max().reset_index()
which gives:
name date_1 date_2 date_3
0 name1 11.0 12.0 43.0
1 name2 12.0 NaN NaN
Upvotes: 3