[GitHub] spark issue #16793: [SPARK-19454][PYTHON][SQL] DataFrame.replace improvement...
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/16793 Otherwise, please give me few days .. let me give a shot with `def replace(self, to_replace, *args, **kwargs):`and see if I can resolve it if we are okay with that although I guess pydoc will show a less pretty doc .. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #16793: [SPARK-19454][PYTHON][SQL] DataFrame.replace improvement...
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/16793
I think the actual root cause is because we happen to allow a dictionary
for `to_replace` at the first place.
So, do you prefer to have?
```python
def replace(self, to_replace, value, subset=None):
...
```
but in this case, we should do as below if `to_replace` is a dictionary.
```
df.replace({"Alice": "Bob"}, 1).show()
```
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[GitHub] spark issue #16793: [SPARK-19454][PYTHON][SQL] DataFrame.replace improvement...
Github user rxin commented on the issue: https://github.com/apache/spark/pull/16793 Also the implementation doesn't match what was proposed in https://issues.apache.org/jira/browse/SPARK-19454 Having null value as the default in a function called replace is too risky and error prone. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #16793: [SPARK-19454][PYTHON][SQL] DataFrame.replace improvement...
Github user rxin commented on the issue: https://github.com/apache/spark/pull/16793 Sorry I object this change. Why would we put null as the default replace value, in a function called replace? That seems very counterintuitive and error prone. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #16793: [SPARK-19454][PYTHON][SQL] DataFrame.replace improvement...
Github user zero323 commented on the issue: https://github.com/apache/spark/pull/16793 Thanks @holdenk --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user holdenk commented on the issue: https://github.com/apache/spark/pull/16793 Merged to master --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #16793: [SPARK-19454][PYTHON][SQL] DataFrame.replace improvement...
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/16793 LGTM --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #16793: [SPARK-19454][PYTHON][SQL] DataFrame.replace improvement...
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/16793 Let me try and take a look tonight. It seems like there are some small formatting issues still at a quick glance but I feel like this should be close. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #16793: [SPARK-19454][PYTHON][SQL] DataFrame.replace improvement...
Github user zero323 commented on the issue: https://github.com/apache/spark/pull/16793 @holdenk Do you think it is realistic to see this merged into 2.2? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user zero323 commented on the issue: https://github.com/apache/spark/pull/16793 > I think (and I could be wrong) that @nchammas was suggesting it might make sense to have some more tests with dict, not that the other additional new tests are bad. I am like Python - you have to be explicit :) I'll try to figure out some useful tests and get back to you. Thanks for the feedback @holdenk, @nchammas --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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