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Hello everyone,First off, big thanks to everyone here. You've been super helpful as I've been figuring things out with Cognite. I've hit a bit of a snag though, and I'm hoping someone here might have an answer.Check out the attached screenshot. It's got a 3D view of an asset and one of its time-series. Now, I've also got this other chart that shows the time-series for the asset, along with some predictions and models I’ve been playing with. (See Below) Here's my question: When I'm looking at the 3D view of the asset, is there a way to see this full chart with all the models and predictions instead of just one time-series? I've looked all over the forums and tried searching everywhere, but I can't find an answer. If someone could help out, that'd be awesome. Thanks so much for always being there and helping out. I'm excited to show off what I've been working on with Cognite! Cheers, Vishnu Iyengar
Dear Cognite Community,I hope this message finds you well. Firstly, I'd like to acknowledge that I've been asking quite a few questions lately, and I sincerely appreciate the time and effort many of you have invested in guiding me. This community has evolved into a mentorship hub for me, and for that, I'm deeply grateful. :)I've been working extensively with Cognite Charts to visualize my time-series data and have been greatly impressed by its capabilities. However, I have a couple of specific needs that I'd like to discuss, and I was hoping to get some insights from the experts in this community.Dynamic Visualization of Actual vs. Predicted Model:I'm looking for a way to dynamically visualize my actual data against the predicted model within Cognite Charts. I came across Data Point Subscriptions as a potentially relevant feature. While the documented use-cases don't exactly match my needs, they seem to be the closest match. Would this feature be applicable to my scenario or is there a
Hello esteemed members of the Cognite community,I come to you with a sense of urgency and a deep need for expert guidance. I've been attempting to familiarize myself with Cognite for the last six months, and despite my best efforts, I find myself at an impasse with some critical aspects. My situation is time-sensitive, and I am truly hoping for your assistance to navigate this complex but fascinating journey.My Setup:Environment: Google Colab (Free version)SDK: Cognite Python SDKAssets: Wind Farm with two sub-assets (Asset A and Asset B)My Goals:Connect to Cognite Project via Python SDK: I need to use my client ID and client secret to establish a connection from Google Colab.Create Hierarchical Assets: My aim is to create a parent asset, named "Wind Farm," and within this parent asset, include two child assets, Asset A and Asset B.Upload Time-Series Data from CSV: I have CSV files containing wind-speed and wind-power data for Asset A and Asset B. I need to upload these as time-series d
Hello Cognite Community,I'm currently in the process of deepening my understanding of the Cognite Python SDK, and I've encountered some hurdles that I believe this community could help me overcome. I'm working with a time-series dataset and aiming to use it to make machine learning-based predictions. To facilitate a more comprehensive response, I've provided a snapshot of the data I'm working with and detailed my queries below.Dataset Structure: The data comprises 5 columns: time, ws_E05, ws_E06, wp_true_E05, wp_true_E06. The 'ws_E05' represents the true wind speed at location E05, and 'wp_true_E06' signifies the true wind power at location E06.Query 1: I plan to utilize this dataset to forecast the subsequent 10 minutes using Linear Regression in the Python SDK on Cognite. Could you advise me if the present state of this time-series data is sufficient to get started, or are there certain modifications or preprocessing steps I should consider? I'm also interested in visualizing this da
I am new to learning how to utilize Cognite Data Fusion. I apologize if this question has already been answered; if it has, please inform me!Currently, I plan to use Cognite to establish a connection with a digital twin and utilize the Python SDK to import and extract data using custom-built models. However, I have a question regarding connecting the SDK to a private project. In the case of Open Industrial Data, we were provided with a Tenant ID, Client ID, and Base_URL.Hence, I would like to inquire whether there are any specific steps or requirements to connect to a private access project using the Python SDK. I would greatly appreciate any assistance you can provide. Thank you!
Greetings Cognite Community!It is my pleasure to introduce myself as Vishnu Iyengar, an undergraduate student at Rutgers University, pursuing a degree in Industrial and Systems Engineering. I am excited to be a part of the Cognite community and eager to learn more about Cognite CDF. As a research assistant at our University’s Energy Lab, I recognize the importance of keeping up with the latest technologies and Cognite CDF is at the forefront of innovation. I have been impressed by the warm welcome and openness of the Cognite community thus far. My career aspirations are focused on the Data Science field and I believe that Cognite CDF can provide me with the knowledge and experience to achieve my goals. I am grateful to be a part of such a welcoming and supportive community. Thank you all for this opportunity and I look forward to learning and growing with all of you!
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