Timeline for Using Pandas to group data based on name and see if column value is greater than or equal to values based on group names
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Jul 6, 2023 at 22:04 | answer | added | Reinderien | timeline score: 2 | |
| Jul 6, 2023 at 21:36 | comment | added | jp207 | Good catch. I made a mistake. Obviously I didn't want to use real data and names so I typed that sample out myself. Neither Plaza Hotel or Nexus Hotel should contain Hotel. I updated it above. Hopefully, I didn't make any other errors. | |
| Jul 6, 2023 at 21:33 | history | edited | jp207 | CC BY-SA 4.0 |
removed the incorrect property names
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| Jul 6, 2023 at 20:42 | comment | added | Reinderien |
Plaza Hotel by the Sea is ambiguous. Which record should it match?
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| Jul 6, 2023 at 20:20 | comment | added | jp207 | I added an example of the data above. | |
| Jul 6, 2023 at 20:15 | history | edited | jp207 | CC BY-SA 4.0 |
added a sample of what data looks like
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| Jul 6, 2023 at 19:47 | comment | added | Reinderien | Based on the actual data, you may or may not need to break vectorisation and do a looped or mapped regular expression match. But it's impossible to say without seeing the real thing. | |
| Jul 6, 2023 at 18:11 | comment | added | Reinderien | Can you show an example data file? Otherwise we will not be able to run this. | |
| Jul 6, 2023 at 17:31 | history | asked | jp207 | CC BY-SA 4.0 |