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xarray lecture #283
xarray lecture #283
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How about using NARR_19930313_0000 instead? Is has temperature at different heights of the atmosphere (measured as isobaric pressure). It doesn't have a time component. |
Great, thank you for creating the figure! Let's use the |
In the upcoming days and weeks I will start working on the lecture material. Is there a part that you want to lead during the lecture, @wmvanvliet? Shall I work the whole markdown document or is there a part you want to take over? |
Oh yeah :) |
I think somewhere in that region, but the image is not precise. I could make it precise if I have a little time. |
With only 30mins, I'm fine with you taking the lead during the entire lecture. Of course I want to help with putting the lecture materials together. |
Don't worry about it, the picture (with the corrected hPA values) is very useful for the lecture material :) Thanks again for creating it.
Sounds good, I will start with creating the lecture material then. I will let you know when I have a section ready for review. Your feedback would be very much appreciated! |
I've updated the image. The actual coordinates of the cube are drawn on this map: https://framacarte.org/en/map/anonymous-edit/196572:0w7b-sUXFbHgfyUZYs7kGu1VLe7nLL2NzzthvtWdGhQ which is used as the floor of the image now. |
Thanks a lot, that looks perfect! |
It seems like I am unable to download the image of the dataset. Can you forward me the image @wmvanvliet? I will use a screenshot with lower resolution in the meantime. My email is [email protected] |
This is the first version of the Xarray lecture. It is still a bit rough around the edges and I will add the two exercises tomorrow. @wmvanvliet If you have any comments or ideas for improvement, please let me know. |
I invited Gregor to the repo for independent merging and pushing as needed. For whatever makes sense, go ahead and do it! |
The exercises are now included. Please let me know, what you think about them. |
The sphinx build also breaks for the last commit (commit 188a462) before anything is added in this PR |
I'm working on the problem. I found it this morning (but not the solution), and haven't had time to do a proper fix. I plan to do any fix to get it working asap. |
Thx no stress! One can build the xarray lecture with |
Now it builds. The files list has some warnings saying that some of the image files are missing. And a lot of other warnings from other files but I'd ignore them and merge, we can figure them out later. |
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Really nice work @gregordecristoforo!
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# Put everything together to create the Dataset | ||
ds = xr.Dataset( | ||
{ |
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{ | |
data_vars = { |
Let's make it super clear that these are the Data Variables.
Co-authored-by: Marijn van Vliet <[email protected]>
Co-authored-by: Marijn van Vliet <[email protected]>
Co-authored-by: Marijn van Vliet <[email protected]>
Co-authored-by: Marijn van Vliet <[email protected]>
Co-authored-by: Marijn van Vliet <[email protected]>
Co-authored-by: Marijn van Vliet <[email protected]>
Co-authored-by: Marijn van Vliet <[email protected]>
Co-authored-by: Marijn van Vliet <[email protected]>
Co-authored-by: Marijn van Vliet <[email protected]>
Co-authored-by: Marijn van Vliet <[email protected]>
Co-authored-by: Marijn van Vliet <[email protected]>
Thanks for the feedback! I included most of your suggestions. I'll get to the remaining ones probably tomorrow. |
Co-authored-by: Marijn van Vliet <[email protected]>
I moved the two remaining suggestions to a new follow-up issue: #295 I did this because I want to merge this now so that it can get some exposure/visibility for other instructors/helpers/organizers. Thank you for the great lesson addition! |
This is my suggestion for the outline of the Xarray lecture. The biggest questions for me are the following:
Feedback of any kind is very welcome!