Timeline for Getting the average score for hotel scores in different countries using pandas
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| Jun 26, 2018 at 19:21 | comment | added | Graipher |
@maufcost There would have been some small improvements possible, like using a collections.defaultdict in the calculation of the sum of average scores (no need for special casing if country not in d). Other than that it looks good and is always good practice.
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| Jun 26, 2018 at 19:18 | comment | added | maufcost | That helps a lot. I wrote from scratch most of the algorithms in my original code. In general, do you think I wrote them well? (I know that pandas's version is a lot more efficient :) ) | |
| Jun 26, 2018 at 19:17 | vote | accept | maufcost | ||
| Jun 26, 2018 at 14:07 | history | edited | Graipher | CC BY-SA 4.0 |
deleted 15 characters in body
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| Jun 26, 2018 at 13:39 | history | answered | Graipher | CC BY-SA 4.0 |