Have got a dataframe df like below:
Store Aisle Table
11 59 2
11 61 3
Need to expand each combination of row 3 times generating new column 'bit' with range value as below:
Store Aisle Table Bit
11 59 2 1
11 59 2 2
11 59 2 3
11 61 3 1
11 61 3 2
11 61 3 3
Have tried the below code but didn't worked out.
df.loc[df.index.repeat(range(3))]
Help me out! Thanks in Advance.
CodePudding user response:
You should provide a number, not a range to repeat
. Also, you need a bit of processing:
(df.loc[df.index.repeat(3)]
.assign(Bit=lambda d: d.groupby(level=0).cumcount().add(1))
.reset_index(drop=True)
)
output:
Store Aisle Table Bit
0 11 59 2 1
1 11 59 2 2
2 11 59 2 3
3 11 61 3 1
4 11 61 3 2
5 11 61 3 3
Alternatively, using MultiIndex.from_product
:
idx = pd.MultiIndex.from_product([df.index, range(1,3 1)], names=(None, 'Bit'))
(df.reindex(idx.get_level_values(0))
.assign(Bit=idx.get_level_values(1))
)
CodePudding user response:
df = df.iloc[np.repeat(np.arange(len(df)), 3)]
df['Bit'] = list(range(1, len(df)//3 1))*3