Title: Rolling function not working as described in the docs · Issue #1375 · googleapis/python-bigquery-dataframes · GitHub
Open Graph Title: Rolling function not working as described in the docs · Issue #1375 · googleapis/python-bigquery-dataframes
X Title: Rolling function not working as described in the docs · Issue #1375 · googleapis/python-bigquery-dataframes
Description: In the docs, there is the same explanation for using rolling windows as when using Pandas. Although, in the case of BigFrames only a int is accepted while the docs state different. In this way, I can't use something like a str (7d) or a ...
Open Graph Description: In the docs, there is the same explanation for using rolling windows as when using Pandas. Although, in the case of BigFrames only a int is accepted while the docs state different. In this way, I c...
X Description: In the docs, there is the same explanation for using rolling windows as when using Pandas. Although, in the case of BigFrames only a int is accepted while the docs state different. In this way, I c...
Opengraph URL: https://github.com/googleapis/python-bigquery-dataframes/issues/1375
X: @github
Domain: github.com
{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Rolling function not working as described in the docs","articleBody":"In the docs, there is the same explanation for using rolling windows as when using Pandas. Although, in the case of BigFrames only a `int` is accepted while the docs state different. In this way, I can't use something like a `str` (`7d`) or a `timedelta`. These options are pretty vital to the rolling method in Pandas. Is there something I am overlooking (I looked in the source code of BigFrames and it seems that only an `int` is accepted as its arguments). ","author":{"url":"https://github.com/wesselhuising","@type":"Person","name":"wesselhuising"},"datePublished":"2025-02-07T12:39:00.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":6},"url":"https://github.com/1375/python-bigquery-dataframes/issues/1375"}| route-pattern | /_view_fragments/issues/show/:user_id/:repository/:id/issue_layout(.:format) |
| route-controller | voltron_issues_fragments |
| route-action | issue_layout |
| fetch-nonce | v2:8d1229d1-5add-a1d3-b3a9-56ad4773ef40 |
| current-catalog-service-hash | 81bb79d38c15960b92d99bca9288a9108c7a47b18f2423d0f6438c5b7bcd2114 |
| request-id | AD34:16035A:315DAC7:43DFABE:6A54A6B5 |
| html-safe-nonce | 03b753e56f53ff36e145787cf9b6a996534bcf2e309f0668a72b09b219d2b36a |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJBRDM0OjE2MDM1QTozMTVEQUM3OjQzREZBQkU6NkE1NEE2QjUiLCJ2aXNpdG9yX2lkIjoiODQ3ODgwNDY2ODY0MjAxMDgwNSIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9 |
| visitor-hmac | f9d0ff2e42f10751c35f84e5745d8f0e94669b54c5a5c6e4159895a3110eca7f |
| hovercard-subject-tag | issue:2838064617 |
| github-keyboard-shortcuts | repository,issues,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/_view_fragments/issues/show/googleapis/python-bigquery-dataframes/1375/issue_layout |
| twitter:image | https://opengraph.githubassets.com/889eb3b016032220e021ea6e6d2893a463a61305e259ffcbd29aced70fc171e8/googleapis/python-bigquery-dataframes/issues/1375 |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/889eb3b016032220e021ea6e6d2893a463a61305e259ffcbd29aced70fc171e8/googleapis/python-bigquery-dataframes/issues/1375 |
| og:image:alt | In the docs, there is the same explanation for using rolling windows as when using Pandas. Although, in the case of BigFrames only a int is accepted while the docs state different. In this way, I c... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| og:author:username | wesselhuising |
| hostname | github.com |
| expected-hostname | github.com |
| None | b9a586c06a05a7a86fc7e3f4dbd03e42f6869085879aa184aa6369456dbd50fb |
| turbo-cache-control | no-preview |
| go-import | github.com/googleapis/python-bigquery-dataframes git https://github.com/googleapis/python-bigquery-dataframes.git |
| octolytics-dimension-user_id | 16785467 |
| octolytics-dimension-user_login | googleapis |
| octolytics-dimension-repository_id | 667598363 |
| octolytics-dimension-repository_nwo | googleapis/python-bigquery-dataframes |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 667598363 |
| octolytics-dimension-repository_network_root_nwo | googleapis/python-bigquery-dataframes |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | f8cfff6384f62259baea531c7f58bc7040f8dd92 |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width