Question is unclear: please provide code you've tried, the error message you're getting, and expected output.
Create a row that sums the rows that do not have a data in all the columns.
I'm working on a project that keeps throwing dataframes like this:




1
2
3
4
5





108.864

INTERCAMBIADORES DE
1123.60      210.08     166.71     1333.68





CALOR 8419500300




147.420       5.000
PZ
1A0181810000
81039.25       15149.52    19237.754880        96188.77



147.420

INTERCAMBIADORES DE
3882.25      725.75     921.60     4608.00





CALOR 8419500300




566.093      12.000
PZ
1A0183660000
66187.40       12374.29     6546.806709        78561.68



566.093

INTERCAMBIADORES DE
3170.76      592.80     313.63     3763.56





CALOR 8419500300




3.645       1.000
PZ
1A0185890000
836.64          159.69      996.330339          996.33



3.645

INTERCAMBIADORES DE
40.08        7.65      47.73       47.73





CALOR 8419500300




131.998       3.000
PZ
1A0190390000
32819.41        6135.17    12984.858315        38954.57



131.998

INTERCAMBIADORES DE
1572.24      293.91     622.05     1866.15





CALOR 8419500300




123.833       3.000
PZ
1A0190790000
54769.36       10238.84    21669.402087        65008.21



123.833

INTERCAMBIADORES DE
2623.77      490.50    1038.09     3114.27





CALOR 8419500300




115.214       2.000
PZ
1A0195920000
54642.66       10215.05    32428.851279        64857.70



115.214

INTERCAMBIADORES DE
2617.70      489.36    1553.53     3107.06




This is going to insert a sql database, I don't know how to add the empty rows with the row that has all the information.
NOTE: Spacing Empty cells is variable
Create a row that sums the rows that do not have a data in all the columns pandas