How to re-arrange this df in groups of 3
Question:
I have a shortened version of my real data in which I would like to re-arrange as described below.
Input:
import pandas as pd
import numpy as np
data4 = [[45], [285], [256], [55], [360], [213], [65], [435], [368]]
df4 = pd.DataFrame(data4)
Output:
0
0 45
1 285
2 256
3 55
4 360
5 213
6 65
7 435
8 368
Desired Output:
0 1 2
0 45 285 256
1 55 360 213
2 65 435 368
Answers:
With np.reshape: pd.DataFrame(df4.values.reshape(-1, 3))
With pivot() :
df4["count"] = df4.index%3
df4.pivot(index=None, columns="count", values=0).bfill().iloc[::3, :].reset_index(drop=True)
I have a shortened version of my real data in which I would like to re-arrange as described below.
Input:
import pandas as pd
import numpy as np
data4 = [[45], [285], [256], [55], [360], [213], [65], [435], [368]]
df4 = pd.DataFrame(data4)
Output:
0
0 45
1 285
2 256
3 55
4 360
5 213
6 65
7 435
8 368
Desired Output:
0 1 2
0 45 285 256
1 55 360 213
2 65 435 368
With np.reshape: pd.DataFrame(df4.values.reshape(-1, 3))
With pivot() :
df4["count"] = df4.index%3
df4.pivot(index=None, columns="count", values=0).bfill().iloc[::3, :].reset_index(drop=True)