Hi,
I'm new to Alteryx and trying to find solutions to a problem that's seemingly easy to do in Python.
My table has a set of columns with very generic names with values and another set with meaningful names with generic column name references. The columns with meaningful names are supposed to replace the ones with generic names.
Example -
From:
| Col X | Col Y | f1 | f2 | q1 | q2 | Col A | Col B | Col C | Col D |
| J | M | 1 | | | | f1 | | | |
| J | M | 2 | | | | f1 | | | |
| J | M | 3 | | | | f1 | | | |
| J | N | | 14 | | | | f2 | | |
| J | N | | 15 | | | | f2 | | |
| J | N | | 16 | | | | f2 | | |
| K | O | | | 37 | | | | q1 | |
| K | O | | | 38 | | | | q1 | |
| K | O | | | 39 | | | | q1 | |
| K | P | | | | 50 | | | | q2 |
| K | P | | | | 51 | | | | q2 |
| K | P | | | | 52 | | | | q2 |
To:
| Col X | Col Y | f1 | f2 | q1 | q2 | Col A | Col B | Col C | Col D |
| J | M | 1 | | | | 1 | | | |
| J | M | 2 | | | | 2 | | | |
| J | M | 3 | | | | 3 | | | |
| J | N | | 14 | | | | 14 | | |
| J | N | | 15 | | | | 15 | | |
| J | N | | 16 | | | | 16 | | |
| K | O | | | 37 | | | | 37 | |
| K | O | | | 38 | | | | 38 | |
| K | O | | | 39 | | | | 39 | |
| K | P | | | | 50 | | | | 50 |
| K | P | | | | 51 | | | | 51 |
| K | P | | | | 52 | | | | 52 |
Can you please help me solve this..
Due to my organization restrictions, I cannot upload anything.
Thanks,
Krishna.