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Hi, I’m doing the Learn to Use the Cognite Python SDK module in the Data Scientist basics seems incorrect.For example, I’m in the notebook `2_List_Search_Retrieve.ipynb` and the data presented appears to be very random, and not industrial data. When I run a query like:`c.assets.list(metadata={'ELC_STATUS_ID': '1211'},limit=5)` this comes back empty because there is no industrial data in any of the the datasets. In fact, almost all of the datsets in the c.data_sets.list() command are Deprecated and archived.It looks to me like potentially the datasets are tests that people have made. I would really like to be able to see some more realistic data in the dataset used for exploring the tool. Please let me know how I can do that, if anyone knows!
Hi, I’m doing the data science modules, I’m on Notebook 2 (List/Search/Retrieve) and I note that when I use the LabelFilter on the assets, I find a number of assets with a label called ‘COLD’. However, when I do c.labels.list (limit=None), I get only 4 labels and none of them match the ‘COLD’ label. Are labels for assets different from labels that are found using c.labels.list?
When I bring my chart into the canvas, the calculated values are not showing. I’m likely just missing a setting, but cannot figure it out. Hope someone can help me. Thanks.
Hi, I’m Laura Chutny, a Data Scientist and Process Engineer in Calgary, Canada working at Accenture on data and analytics in the Energy space. Taking the Intro courses to ensure I’m aware how/when/why to use CDF for clients.
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