Reputation: 45
I have a dataframe something like this
I want to combine row 0 to row 5 so that the dataframe should look like this
Please find the unformatted DF below
{0: {0: 'Budget allocation for 1998-2019 financial years',
1: 'In million',
2: 'USD',
3: '',
4: '',
5: '',
6: 'Atyrau',
7: 'Mangistau',
8: 'Total'},
1: {0: '',
1: 'ITD VOWD',
2: 'Dec',
3: '',
4: '2018',
5: '',
6: '318.5',
7: '302.3',
8: '620.8'},
2: {0: '',
1: 'YTD VOWD',
2: 'February',
3: '',
4: '2019',
5: 'Incl. VAT',
6: '5.1',
7: '2.0',
8: '7.2'},
3: {0: '',
1: 'ITD VOWD',
2: 'February',
3: '',
4: '2019',
5: '[A]',
6: '323.6',
7: '304.3',
8: '628.0'},
4: {0: '',
1: 'PSA obligation',
2: 'as of Feb` 2019',
3: '',
4: '',
5: '[B]',
6: '362.6',
7: '362.6',
8: '725.3'},
5: {0: '',
1: 'Existing',
2: 'commitments',
3: '',
4: '',
5: '[C]',
6: '43.9',
7: '51.9',
8: '95.8'},
6: {0: '',
1: 'Available',
2: 'approved',
3: 'budget',
4: '[B-A-C]',
5: 'Incl. VAT',
6: '-5',
7: '6',
8: '2'}}
Upvotes: 1
Views: 57
Reputation: 34086
You can do this:
## concat every column for 5 rows into a pd.Series
df = df.iloc[0:6, :].apply(' '.join)
## convert Series to dataframe and Transpose it
df = pd.DataFrame(df).T
Upvotes: 2