 The train.csv metadata description you've provided gives a good overview of how the dataset is structured and how the labeling was done by the experts. Given this information, we can understand the following. Each EEG ID corresponds to a full EEG recording session, while EEG sub-ID refers to a specific 50-second long segment within that full session. EEG label offset seconds indicates the start time of the 50-second segment in relation to the full EEG recording. The spectrogram information mirrors the EEG structure, but for a different representation, spectrogram of the data, with spectrogram ID relating to the full session and spectrogram sub-ID to specific 10-minute long segments. Label ID is a unique identifier for the set of labels applied to a given segment. Patient ID is the identifier for the individual from whom the EEG data was recorded. Expert consensus provides a convenient label that represents the consensus of the experts for the brain activity classification in that segment. Regarding the specific brain activity classes, these votes represent how many of the annotators agreed on a particular classification, which can range from seizure activity to different types of periodic or rhythmic discharges or activities. If there is a large number of overlapping windows in the data, it suggests that multiple annotations might exist for the same or very similar segments of data. This could be by design for ensuring reliability and consistency in annotations, but it's also possible that it could lead to some redundancy or conflicts in labels. In terms of data retrieval and display, when you're fetching EEG data for visualization based on this metadata, you'll want to make sure you're querying the correct 50-second segments according to the EEG label offset seconds and displaying the correct annotations alongside them. This is essential for ensuring the visualized data aligns with the expert labels and can be properly interpreted in the context of the research or application you're developing. Using the same dataset from Kegel, there's a link that should be at the bottom of the page. Eventually, this tool will be available for you to play with. You can select your EEG ID, select the channel. You have a standard EEG montage with one EEG channel. It's most of the time quite noisy. That great EEG. I could expect when the EEG looks like that, then there might be something wrong with the data as well. It looks like baseline EEG, but it was labeled as AVA. There's only one 50-second segment. Yeah, EEG is essentially missing. EEG is not great. And this was actually labeled as a clinical general. No, no, it's a lot of rubbish in it. There's DC shifts. I don't know what it is. The patient ID is being updated correctly. We did double check. The electrode list is being auto-populated, so that's okay. Default is loading the 604 that looks like a seizure. The only problem with it is there's a similar kind of pattern on the EEG electrode, which is highly unusual. And yes, so a couple ways to continue from here. There is the spectrogram data that was provided in this dataset. We might generate our own as well, because I don't think they correlate. There's some weird thing there. Let's open the train CSV again. Have a good look at it. Does it fit the screen? Yeah, just. Okay, let's see. I want to load all this AVA things. I want to load the spectrogram ID. So we have all these AVA labels with the actual label. So the idea is when you select the body fault, when you load the page, there's an EEG ID being pre-selected. You can select a different one. We'll show you the whole thing. When you select the sub ID, it will show you just the 50 seconds of that sub ID. Defaulted will be sub ID 00, because some of those EEG IDs don't have extra sub IDs. You'll have a default electric selected, and we'll display the patient ID as well. So this consensus, yeah, not sure. Let's display it at the top. A label ID. I don't know what label ID is. Let's assume there is some sort of logic to the order in the original file, which is have one form. We have a form ID, a short comment, a change order, add, missing IDs, and the following. See if it can do it. So we have EEG ID, sub ID, spectrum sub ID. Okay, let's pop this in and just display it in there. We just go JavaScript, update based on previous response. Yeah, so this is the column we have in the train.csv file. We have 19, is that correct? Yeah, 15. Right, we also have the chart. Doesn't want to update the JavaScript. I don't have the ability to recall previous responses. That's great, isn't it? Let's start a new one. Update based on the update.html file. Save this form container. Just do that. Now we turn the submit button and you can modify the prompt. That's not cool. Okay, let's use GPT-4. We need to load it into GPT-4 at some stage anyway, so we might as well do it now. So we want to show a spectrogram in there. Yeah, so chart container. Yeah, we want to do spectrum chart as well. Yeah, wish there was some sort of just upload onto GPT-4 button. A co-pilot kind of gave up. I think it will be too hard for it anyway. Let's start a new chart. We have a HTML file that you can see, but it's still missing. Well, it's not working at the moment, and it's missing two charts. We have a JavaScript, a Python code. We have this data utilities, Python utilities, and the structure of the data is very important. We don't need the info at the moment. I might just update the HTML to include all the columns from the train CSV file. You need to update the JavaScript and the backend and check that the backend code working correctly as well. Can you update, generate, regenerate the JavaScript code? It's still in the sampling rate and everything. Can you finish generating the JavaScript? So we have the whole working code that will execute with no errors and also regenerate the Python code as well. Yeah, why is it being lazy? It's as if it can't handle that much code or something. Yeah, we have new fields. Generating prompts for GitHub Copilot, are you? You won't be generating the code, would you? We need the workspace handle so it can actually look at other files and it can look at the correct section of the HTML. So we changed the HTML to add this. It's a simple update. It's playing now nice. It's going to generate the whole code. There's no placeholders. No, there are placeholders. It just can't help it. Yeah, we didn't need to refract the whole code anyway, so essentially starting from scratch. Still doing this. So you have update chat and then you have fetch and update chat. The names don't make any sense. We're dealing with the spectrogram and it gets really broken. It should go by the errors. Let's clear that. We have no errors. Obviously it would be in the JavaScript. Script.js line 39. Electro should have been there. Obviously it was too ambitious. Let's go back to the HTML that we had before. Wait, wait. We will add this spectrogram. Let's go back to the working version. Let's test this quickly. It should give a different... Yeah, this is not an input. The original idea was to being able to field based on the label. It's not working anymore. I mean, these things can be both inputs and outputs. Yeah, the original thing when you do this you have selected the whole thing. So in this case 102 seconds. When you select that it will zoom in on 50 seconds of that specific label. That doesn't work. When loading an EEG ID we are displaying the whole data in it. When selecting a specific EEG sub ID we want to display just the 50 seconds window. And you do this for us. A fetch moves. Think function log fetching. Data updating chart. We know that's happening so we can get rid of that log. We want to ensure that only 50 seconds of data are fetched and displayed when a specific EEG sub ID is selected. Okay, this looks too good to be true. So might as well. It promises us to actually do what we want. As well just use the whole code. Okay, this one is displaying the 200. And this one doesn't work. Do we get any errors? No. Okay, continuing from the previous prompt what else do I need to change for it to actually work? I need to be response. I don't need general things. I need specific things. Yes, that one is hardcoded. Get the sub ID when selected. It's doing something once, but then it's not doing it again. You have the code. Why you miss behaving? And this is happening only once. It's only running on first load. Okay. And not every time you select the different sub ID. This was 160. Kinda makes sense. Is this 50 lines? Yeah, this data is so similar here. Wasting, spending too much time on this. Let's move on. It does look legit. It's correct. Check, train. CSV file for a sec. 608. I don't want this to happen. We don't really need the decimal points. So the digits after the decimal point. This will be again in JavaScript. On the x-axis labels, can we remove so many digits after the decimal point? We can just have them as zero digits after the decimal point. Const labels. Just one line. Rounding it. Right, this is bad. Something wrong. It's going to be 50, not 100. It's not right. There are chance that the x-axis labels are changing, but the data remains the same. Can you double check? No, the data is the same. Yeah, there's something wrong with how the data is being retrieved. So the x-axis is being updated correctly, depending on the sub-ID and the offset in seconds value, but the data is not being retrieved correctly. Can we double check? No. There's many spectrograms. Well... How does that work? We're kind of making an assumption that the EGID is the main by which we sought and reviewed the data. It's unique. Well, I mean, it's that number and this number. And then for it, you will have a corresponding spectrogram ID with different parquet files. One that holds the EG and the other one is... Let's stop this for a sec. We have trained EG's. Then we have the same one to fold the name. Trainspectrograms. Trainspectrograms. And one of the files. Let's go to this. And that doesn't work. No such file. Again... I have a typo or something. Doesn't look like... I must have had a typo. So it's 10... rolls. That's what I'm loading. It's 20, it doesn't matter. What does matter is we have 400 columns. Would that be the frequency? Okay, spectrograms assembled. EG data using metadata blah, blah, blah. To spec specific annotated subset. The column names indicate the frequency. The column names indicate the frequency in hertz. And the recording regions of the EG electrode. Okay. I'm feeling we will have a trouble loading it. Also load a certain section of it. Let's put it into the structure. This is the EG market, for example. It's in raw EG. This is the EG spectrogram. That's exactly right. It's good that co-pilot understands the context from somewhere. Sometimes it's playing silly, but it's not that silly. It is not silly at all. I can explain this and also I would like to load this data on the front page. We need to modify JavaScript, HTML and Python. The final output should be a better version of the following image. Upload it. EG data will be the raw EG time series. And get spectrogram data will be the spectrogram. I need to get the corresponding file. It's obviously not a complete code, is it? Yeah, the treat parquet. How do you pronounce this thing? Let's read this quickly. There are two types of visual data representations for EG data. Spectrograms on the left side and time series data on the right side. The spectrograms display frequency content over time. The intensity of the colors indicates the strength of the frequencies at a given time point. Warmer colors like yellow and red indicate higher intensities. The time series data shows the voltage changes recorded over time at different electrodes placed on the scalp. This is the basic outline of the steps you'd need to follow to achieve your goal. Python side. You're looking to serve EG spectrogram data from your flash application. For this, one, read the spectrogram data. You've already got the code that reads the parquet file containing the spectrogram data. This data needs to be served to the front end through an appropriate flash route. Python at app.route.get spectrogram data int spectrogram id Ensure datapath points to where the spectrogram parquet files are located. Parquet file equals os.pathjoinpath.expanduserdatapath f spectrogram id parquet df equals read parquet parquet file Convert the data to a format that can be sent to the front end. This may involve transforming the data frame to a dictionary, list, or JSON. You can send timestamps and corresponding frequency bands data. Spectrogram data equals df.todict orient equals records. Return JSONify spectrogram data. JavaScript and HTML side 2. Modify HTML. Add elements to your HTML to display the spectrogram and time series data. This could be a canvas or a div where you can render the data using JavaScript. 3. Modify JavaScript. Write functions to fetch the spectrogram data from the back end and render it using JavaScript. You could use a library like chart.js or d3.js for rendering the data or a custom rendering solution if you need more control. JavaScript async function fetch and display spectrogram spectrogram id. Try constresponse equals await fetch slash get spectrogram data slash spectrogram id. If response.ok throw new error. Network response was not okay. Const spectrogram data equals awaitresponse.json. Display spectrogram spectrogram data. Catch error console.error fetching spectrogram data error. Function display spectrogram spectrogram data. Logic to display the spectrogram on the page. This could involve creating a plot using a library or drawing directly onto a canvas element. Example placeholder logic for using a canvas. Const canvas equals document dot get element by id spectrogram canvas. Const CTX equals canvas dot get context 2D. Loop over the data and draw the spectrogram. This is just a placeholder. Actual implementation would need to process and scale the spectrogram data to fit the canvas. Spectrogram data dot for each frame index. Assuming frame contains frequency data for a specific time frame. Object dot entries frame. For each frequency intensity freak index. Map the intensity to a color. Const color equals intensity to color intensity. CTX dot fill style equals color. Draw a rectangle for this piece of the spectrogram. CTX dot fill rect index freak index 1 1. Function intensity to color intensity. Flash convert intensity value to a color. Placeholder logic actual implementation would need to map intensity to color range. Const intensity ratio equals intensity max intensity. Const color value math dot floor 255 intensity ratio. Return RGB zero color value for CSS styles. Ensure you have the proper styles in your CSS to handle the layout and presentation of the spectrogram and time series data. Final output. The final output should be a page that loads and displays the EEG spectrogram data in a visually appealing and informative manner, improving upon the uploaded image. It will require careful design and consideration of how to best represent the data visually for clarity and utility. It is important to note that creating a complex visual representation of EEG data requires considerable development and might involve iterative improvements. Make sure to test each piece individually and then together to ensure that they work as intended. Really don't need those as a standalone functions to it. They don't do much. It should just one line of code. But if I'll change it, I'll stuff something else up. We already have that in the HTML. We are using charges. Should we have a separate JavaScript file for this? I think it was also assuming we need the spectrogram ID. Do we need to show it on the front page? No. Yeah, just realize all this stuff can probably get worse. They will not work anymore because we broke a few things. Don't have spectrogram. Let's call it spectrogram. It's called spectrogram canvas. Okay, still won't work with it. We're missing a bunch of other things. I like this data utils thing. We're using it nine times. It's not really required. Does it even get rid of it? Good rid of it. Should be able to just do n4pd when it pandas. Get rid of that data utility file. I don't know why it's even there to begin with. That's right. Is it? Why is it so much shorter? Because it doesn't have that data utils. It says here that's correct. So we comment it out. I don't know a line. It just works. Don't need the data utils thing. Call this magic happens. Magic happens. We have two versions. Yeah, we don't want to confuse between them. So when you restructure a format that document doesn't fix all these little annoying things, yeah, this one will need more work. If you haven't yet checked out the binarykills.com, please do so. Let me know what you think. There's a lot of interesting tools. It's done it yet quickly. Do it just once. Let's go to the single shot from Fingy. Yeah, hopefully we don't need data utils anymore. Yeah, we don't need it. We need to read it. We don't need read. Read csv. And no fetch electric data. And no second go. Data utils. Bye-bye. We need to focus on the spectrogram bit. We just added it recently. And the code is currently not working at all. Can you help us fix it? Absolutely. Let's focus on the spectrogram part. I see a few key points that we should consider. One, root root for spectrogram data. The slash get spectrogramgram data slash int spectrogram id route is intended to fetch spectrogram data. It reads a parquet file and sends back the data in a JSON format. The route seems fine, but I'll need more details if there's a specific issue with it. Two, frontend function for fetching spectrogram data. The fetch and display spectrogram, spectrogram id function, is responsible for fetching spectrogram data and then calling display spectrogram to render it. Ensure that the spectrogram id is correctly passed and the endpoint responds as expected. Three, displaying spectrogram on frontend. The display spectrogram function is currently a placeholder. To properly display the spectrogram, you'd need to process the data into a format suitable for visualization. Libraries like D3JS or chart.js can be helpful, or you can directly draw on a canvas based on frequency and intensity data. Four, debugging. If the spectrogram functionality isn't working, check for incorrect spectrogram id passed to the fetch function, errors in fetching or parsing the response from the server, issues in the data format returned from the server, errors in the rendering logic of display spectrogram. To help you more effectively, could you specify the exact issues you're encountering with the spectrogram functionality? For example, is the problem with fetching the data, processing it, or displaying it on the frontend? Any error messages or unexpected behaviors you've noticed would be really helpful for diagnosing the issue. GPT-4 is just being lazy. So whatever it haven't completed, we will pop as a prompt to GitHub compiler. It's actually called the spectrogram canvas. Don't have a spectrogram id, and why don't you know that? So that is a spectrogram canvas. What are you talking about? Why keep changing the just do file by file spectrogram display? Okay, can we focus on the spectrogram display? It's not currently working correctly. Yes, it's called spectrogram canvas. It's focusing on the little things. But then it's not actually helping. Where's the rest of the code? We'll try writing it. Won't work with it on Earth. It's that click thing. Seven events. Seven events. Change. No, no. The way this thing. The EEG chart keeps expanding when clicking somewhere on the screen. We don't want that. The spectrogram is not visible at all. Can we fix the code? Yep. It sounds like you're encountering two distinct issues. The EEG chart expanding unexpectedly when interacting with the screen and the spectrogram not being visible. Let's address these one by one. Issue one, EEG chart expanding unexpectedly. The chart expansion issue might be due to the way ChartJS handles canvas resizing. ChartJS automatically resizes the chart to fit its container, which might be changing size based on user interactions. Here are a few steps to prevent this. One fixed canvas size. In your HTML, explicitly set the width and height of the canvas for the EEG chart. This should prevent ChartJS from resizing it. In your HTML, canvas EEG chart width will 600 height for canvas. Two, disable responsive option. In your ChartJS configuration, you can set the responsive option to false. This will prevent the chart from resizing to fit its container. JavaScript const chart options equals responsive false slash other options. Issue two, spectrogram not visible. For the spectrogram display issue, let's ensure that the spectrogram data is being fetched and rendered correctly. One, check spectrogram fetching. Ensure that fetch and display spectrogram is being called with the correct spectrogram ID. You might want to add a console log to confirm that the data is being fetched. JavaScript async function fetch and display spectrogram spectrogram ID. Try console.log fetching spectrogram for ID spectrogram ID. Rest of the code. Two, verify data. Log the fetch data to ensure it's in the expected format. JavaScript.then spectrogram data. Console.log fetched spectrogram data. Spectrogram data. Display spectrogram spectrogram data. Three, canvas setup. Ensure the canvas for the spectrogram is correctly set up in the HTML with defined dimensions. HTML canvas ID equals spectrogram canvas with the 600. Four, adjust rendering logic. Confirm that the display spectrogram function accurately reflects the data structure of spectrogram data. If the data format is different than expected, this function may need adjustments. Five, triggering the function. Confirm where and how fetch and display spectrogram is called. It should be triggered appropriately based on user interactions or initial data load. Six, check for errors. Make sure any errors during fetching or rendering are caught and logged, so you're aware if something goes wrong. Additional steps. After applying these fixes, test your application to see if the issues are resolved. Check if there are any CSS styles that might be affecting the visibility or size of the canvases. Use browser developer tools to inspect the elements and see if the canvases are rendered but perhaps hidden or overlapped by other elements. By following these steps, you should be able to address the issues with the EEG chart expansion and the invisibility of the spectrogram. When we get the spectrogram ID, it should be fetched from the data file. See if it gets the context. It did not get the context. The spectrogram ID. I'm not sure about the label. Probably not relevant. But all those are in the train. CSV file. See if it gets it now. Yes, it is a placeholder. So this is what we currently have. This meant with the spectrogram ID meant to correspond to this EEG. We will need to improve it, make it so we can dynamically select. So when we change the dropdown, it will load the corresponding spectrogram. There's also something wrong with the way it's being rendered on this canvas. So we'll try fixing that next time. See you in a bit. Bye.