BigQuery: Fixed pandas DataFrames being returned with incorrect index. #7953
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When loading large datasets from BIgQuery as pandas DataFrames, sometimes the index contains duplicates. This happens when the results are collected as multiple DataFrames and then concatenated without resetting the index.
As an example, we get
0, 1
repeated in the index:which has some unintended consequences when we try to subset:
Instead, by setting
ignore_index=True
we get:From the pandas documentation https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.concat.html:
In our case the indexes really don't have any meaningful information.
Reproducible example
We can see this in action by running the following query on the
crypto-dash
dataset:and then checking if the indexes are unique:
I have replicated the problem with two different unit tests, and fixed it in this PR.