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It looks like pandas is only supported on 3.9, 3.10, and 3.11https://pandas.pydata.org/docs/getting_started/install.html#python-version-support
Can you attach your pyproject.toml please? I think you are using python 3.12 but I’d like to try and reproduce this
You’re welcome!
Hey @andrelcalves ,Grafana is great and wrote up a quick little how-to for this already:https://grafana.com/docs/grafana/latest/setup-grafana/configure-security/configure-authentication/azuread/#create-the-azure-ad-application
@Bobby Agarwal That option has moved to Explore > Use the Data Catalog
@nabanitakar You have a few options available to you.You can create a new database and table by going to Integrate > Prepare data for transformation You should then see the RAW Explorer. From here you can click the plus (+) sign to create a database. On the next page you will be able to create a table and you can drag and drop your csv right here. You can use one of the SDKs to do the same thing. Here’s the python SDK documentation: https://cognite-sdk-python.readthedocs-hosted.com/en/latest/data_ingestion.html#raw
It looks like you haven’t replaced any of the parameter value’s placeholders. You might try deselecting the ones you aren’t using.
Try going directly to the main page for the documentation. That direct link isn’t correct.https://cognite-sdk-python.readthedocs-hosted.com/en/latest/
Hi Michael,As Sofie said the first half of the first day is critical with the most information around why you are attending the bootcamp and the skills you will be learning. Let’s talk Monday and see what we can do. You can always catch up on the coursework outside of class.
Hey checkout this part of the documentation.https://docs.cognite.com/cdf/integration/guides/transformation/write_sql_queries#read-from-other-cdf-resource-typesThis shows all the different tables you have available in the _cdf database. If you do a select * you will find that every column corresponds to a property for that resource type. All data that has been transformed into CDF resource types (asset, timeseries, etc) is queryable this way. You will have the same access and permissions to this data as your user. If you don’t have access to assets in a dataset because you aren’t in that group, then you won’t have access to them through the query.
Hi it looks like link you provided for Cognite Functions API documentation points to experimental. Would this one be better? https://docs.cognite.com/api/v1/#tag/Functions
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