objectiv-analytics
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objectiv
Powerful product analytics for data teams, with full control over data & models.
* Make tests with 'difficult' columns Postgres only * Add new tests that can work cross database Tests: * `tests.functional.bach.test_df_describe.test_include_mixed.*` * `tests.functional.bach.test_series.test_series_unstack`
# Updated description When using positional slicing: raise Exception if the DataFrame is not sorted See `tests.functional.bach.test_df_getitem.test_positional_slicing` on what we mean by positional slicing # Old description Below is the...
values formatted with leading `0-0 0 ` when date difference is 0. to reproduce (and add missing test): ```python def test_describe_timedelta(engine) -> None: df = get_bt_with_test_data() df['timedelta'] = datetime.timedelta(days=0,hours=1) pdf...
Inform users why unstacked values are invalid column names and tell them how to fix it.
Include an SQL file for inserting data to BigQuery testing table, refer to it in README file.
Since we expose this series to end users, we should change the name from private to public.
Current POC considers only the first identityt context found for the event, include a filtering by name
Currently the docker based demo setup has a single database user that can both read and write to the data. We should have two separate users: 1. A backend user...
* Write tests for `SeriesList` and `SeriesDict` that use merge() * Fix any problems that might arise
Make all tests related to `DataFrame.from_pandas()`, `from_model()`, and `from_table()` multi database. Evaluate if we need to port all writing tests. We might run into write limitations on the BigQuery side....