Regrouping pandas dataframe
Question:
How can I make this dataframe:
datecreated timestamp value
2022-11-15 1 4000
2022-11-15 2 3900
2022-11-15 3 3850
2022-11-15 4 3810
2022-11-15 5 3790
to become:
datecreated 1 2 3 4 5
0 2022-11-15 4000 3900 3850 3810 3790
I tried:
df = df.pivot(index='datecreated', columns='timestamp', values='value')
and the result is:
timestamp 1 2 3 4 5
datecreated
2022-11-15 4000 3900 3850 3810 3790
Reset index:
timestamp datecreated 1 2 3 ...
0 2022-11-15 4000.0 3900.0 3850.0...
Answers:
What you’re seeing is just the column’s axis name being automatically set to timestamp because of your pivot. This can be remedied by renaming the axis:
out = (df.pivot(index='datecreated',
columns='timestamp',
values='value')
.reset_index()
.rename_axis(columns=None))
print(out)
Output:
datecreated 1 2 3 4 5
0 2022-11-15 4000 3900 3850 3810 3790
How can I make this dataframe:
datecreated timestamp value
2022-11-15 1 4000
2022-11-15 2 3900
2022-11-15 3 3850
2022-11-15 4 3810
2022-11-15 5 3790
to become:
datecreated 1 2 3 4 5
0 2022-11-15 4000 3900 3850 3810 3790
I tried:
df = df.pivot(index='datecreated', columns='timestamp', values='value')
and the result is:
timestamp 1 2 3 4 5
datecreated
2022-11-15 4000 3900 3850 3810 3790
Reset index:
timestamp datecreated 1 2 3 ...
0 2022-11-15 4000.0 3900.0 3850.0...
What you’re seeing is just the column’s axis name being automatically set to timestamp because of your pivot. This can be remedied by renaming the axis:
out = (df.pivot(index='datecreated',
columns='timestamp',
values='value')
.reset_index()
.rename_axis(columns=None))
print(out)
Output:
datecreated 1 2 3 4 5
0 2022-11-15 4000 3900 3850 3810 3790