{ "id": 398968, "title": "Auxiliary Question", "url": "/competitions/icecube-neutrinos-in-deep-ice/discussion/398968", "author_name": "", "post_date": "2023-04-01T18:01:23.547123500Z", "votes": 2, "comment_count": 4, "views": 0, "content": "

I'm confused when graphing the aux=True and aux=False. When I graph both aux=True and False, I get a bunch of scattered values, which makes sense. But when I graph aux=False in the exact same dataset it for some reason adds points that weren't in the first graph and just make no sense as they are vertically stacked. I saw a similar post but it wasn't too helpful. Can I please get some help? Thanks!

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Here are 2 images of my data:
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", "messages": [ { "id": "2205598", "postDate": "04/01/2023 18:01:23", "content": "

I'm confused when graphing the aux=True and aux=False. When I graph both aux=True and False, I get a bunch of scattered values, which makes sense. But when I graph aux=False in the exact same dataset it for some reason adds points that weren't in the first graph and just make no sense as they are vertically stacked. I saw a similar post but it wasn't too helpful. Can I please get some help? Thanks!

\n

Here are 2 images of my data:
\n\"\"

\n

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", "rawMarkdown": "I'm confused when graphing the aux=True and aux=False. When I graph both aux=True and False, I get a bunch of scattered values, which makes sense. But when I graph aux=False in the exact same dataset it for some reason adds points that weren't in the first graph and just make no sense as they are vertically stacked. I saw a similar post but it wasn't too helpful. Can I please get some help? Thanks!\n\nHere are 2 images of my data:\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10593243%2Fd09137ef8866651ae39e50082b0108d3%2FauxTrueFalse.png?generation=1680372038374863&alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10593243%2Fbfa470b014e5cf9cd08fdcb5d3c7c8ab%2FauxFalse.png?generation=1680372053518063&alt=media)", "votes": null }, { "id": "2205753", "postDate": "04/01/2023 21:19:09", "content": "

In my understanding, aux=True data is basically noise.

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aux=False are signals, which basically have others in neighboring detectors within some time-interval (after some selection).
\nSince distance between detectors in z-axis is smaller than one in xy-axes,
\naux=False data tend to be stacked in z-axis.

", "rawMarkdown": "In my understanding, aux=True data is basically noise.\n\naux=False are signals, which basically have others in neighboring detectors within some time-interval (after some selection).\nSince distance between detectors in z-axis is smaller than one in xy-axes,\naux=False data tend to be stacked in z-axis.", "votes": null }, { "id": "2206017", "postDate": "04/02/2023 07:01:05", "content": "

I have stared at your images for 10 minutes and cannot find any values in your second image that is not on the first one. Note that the scale of both images is different, which implies different colors and positions of the values:
\nfirst image: -500 to +500 in x,y,z and full range of sensor ids
\nsecond image: x: 0-300, y: -100 - 450, z: -500 - 400, and sensor ids above 2000.

", "rawMarkdown": "I have stared at your images for 10 minutes and cannot find any values in your second image that is not on the first one. Note that the scale of both images is different, which implies different colors and positions of the values:\nfirst image: -500 to +500 in x,y,z and full range of sensor ids\nsecond image: x: 0-300, y: -100 - 450, z: -500 - 400, and sensor ids above 2000.", "votes": null }, { "id": "2207184", "postDate": "04/03/2023 07:18:26", "content": "

Just print the number of points getting plotted right before you call the plot, and debug from there.

", "rawMarkdown": "Just print the number of points getting plotted right before you call the plot, and debug from there.", "votes": null }, { "id": "2221290", "postDate": "04/14/2023 05:52:09", "content": "

I think the problem is that you are using the same color for both aux=True and aux=False points, so they are overlapping in the first graph.

", "rawMarkdown": "I think the problem is that you are using the same color for both aux=True and aux=False points, so they are overlapping in the first graph.", "votes": null } ], "comments": [ { "id": 2205753, "author_name": "rmurata11", "author_url": "", "post_date": "04/01/2023 21:19:09", "content": "

In my understanding, aux=True data is basically noise.

\n

aux=False are signals, which basically have others in neighboring detectors within some time-interval (after some selection).
\nSince distance between detectors in z-axis is smaller than one in xy-axes,
\naux=False data tend to be stacked in z-axis.

", "votes": null, "replies": [] }, { "id": 2206017, "author_name": "taqseorangpun", "author_url": "", "post_date": "04/02/2023 07:01:05", "content": "

I have stared at your images for 10 minutes and cannot find any values in your second image that is not on the first one. Note that the scale of both images is different, which implies different colors and positions of the values:
\nfirst image: -500 to +500 in x,y,z and full range of sensor ids
\nsecond image: x: 0-300, y: -100 - 450, z: -500 - 400, and sensor ids above 2000.

", "votes": null, "replies": [] }, { "id": 2207184, "author_name": "dipamc77", "author_url": "", "post_date": "04/03/2023 07:18:26", "content": "

Just print the number of points getting plotted right before you call the plot, and debug from there.

", "votes": null, "replies": [] }, { "id": 2221290, "author_name": "yus002", "author_url": "", "post_date": "04/14/2023 05:52:09", "content": "

I think the problem is that you are using the same color for both aux=True and aux=False points, so they are overlapping in the first graph.

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2205598": "I'm confused when graphing the aux=True and aux=False. When I graph both aux=True and False, I get a bunch of scattered values, which makes sense. But when I graph aux=False in the exact same dataset it for some reason adds points that weren't in the first graph and just make no sense as they are vertically stacked. I saw a similar post but it wasn't too helpful. Can I please get some help? Thanks!\n\nHere are 2 images of my data:\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10593243%2Fd09137ef8866651ae39e50082b0108d3%2FauxTrueFalse.png?generation=1680372038374863&alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10593243%2Fbfa470b014e5cf9cd08fdcb5d3c7c8ab%2FauxFalse.png?generation=1680372053518063&alt=media)", "2205753": "In my understanding, aux=True data is basically noise.\n\naux=False are signals, which basically have others in neighboring detectors within some time-interval (after some selection).\nSince distance between detectors in z-axis is smaller than one in xy-axes,\naux=False data tend to be stacked in z-axis.", "2206017": "I have stared at your images for 10 minutes and cannot find any values in your second image that is not on the first one. Note that the scale of both images is different, which implies different colors and positions of the values:\nfirst image: -500 to +500 in x,y,z and full range of sensor ids\nsecond image: x: 0-300, y: -100 - 450, z: -500 - 400, and sensor ids above 2000.", "2207184": "Just print the number of points getting plotted right before you call the plot, and debug from there.", "2221290": "I think the problem is that you are using the same color for both aux=True and aux=False points, so they are overlapping in the first graph." }, "source": "meta" }