How can I reduce data set by deleting any rows that have allFALSE bool values for every column in
that row using pandas. Assuming there are 20+ columns/rows to loopthrough. Example: The table data below the pandas code shoulddrop/reduce the data to remove the second & fifth row.True and False in the table are dtype bool.
| id | Test1 | value1 | value2 | value3 | value4 |
| 0.1 | 1 | False | False | False | False |
| 0.2 | 2 | False | True | True | False |
| 0.3 | 3 | True | False | False | False |
| 0.4 | 4 | False | False | False | False |
