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Posts with #XArray

#XArray

Public posts on X that use #XArray.

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  2. Benoît Bovy@benbovy
    BTW, I've used xmovie to create the animation below. It's one of these tools that make life easier! #xarray #matplotlib
    Benoît Bovy @benbovy
    @WSchwanghart @PhilippeSteer That's interesting! I've tried reproducing your figure (+ tracking some grid nodes on the S/A plot) using @fastscape with MFD, it looks like a volcano eruption.
    1839
  4. Irene@igarciamarti
    Today I had a raster resampling task to do. Was feeling lazy (#Fridays😬) so I favoured a (possibly) slow but very compact solution using #xarray's coarsen() method. For some reason, resampling a 3GB tile consumed all 64GB of memory. To my dismay, laziness was over!
    202787
  5. Ujaval Gandhi@spatialthoughts
    New #XArray + #GeoPandas tutorial for fast sampling of geospatial rasters. Learn how XArray can be used efficiently to extract data that is orders of magnitudes faster than other Python packages
    08785.2K
  7. Stephan Hoyer✓@shoyer
    New #xarray release v0.10.1 is out, with new IO (Iris and Zarr support) and plotting options, among many other option. Thanks to everyone who contributed!
    02358
  8. Daily Python Tip 🐍🐧@python_tip
    Pipdeptree is a command-line tool that displays installed Python packages in a dependency tree. #pipdeptree + #xarray + #graphwiz = nice DAG visualization of your dependencies 👇👇
    Qiusheng Wu @giswqs
    Just found a nice #Python package for visualizing package dependency tree with only one line of code pip install pipdeptree graphviz pipdeptree -p xarray --graph-output pdf > dependencies.pdf #xarray #geospatial
    05387.2K
  9. Qiusheng Wu✓@giswqs
    Just found a nice #Python package for visualizing package dependency tree with only one line of code pip install pipdeptree graphviz pipdeptree -p xarray --graph-output pdf > dependencies.pdf #xarray #geospatial
    Download
    115119
  10. Ujaval Gandhi@spatialthoughts
    Want to level up your #Python Dataviz skills? I am launching our Mapping and Data Visualization with Python course on YouTube and designed a free #PythonDatavizChallenge where you spend 30 mins a day for the next 30 days to learn a new skill. Start at
    Download
    413663131.6K
  11. Ujaval Gandhi@spatialthoughts
    @spatialthoughts
    We learn how to visualize satellite imagery by querying a STAC Catalog of Sentinel-2 imagery and learning how to work with time-series data with #XArray. We create a median RGB composite and visualize it using #MatPlotlib
    101432
  12. Ujaval Gandhi@spatialthoughts
    @spatialthoughts
    We end the day by learning how #XArray makes temporal aggregation a breeze and create monthly median composites with just 1 line of code and visualize all 12 images using #Matplotlib
    132544
  13. Ujaval Gandhi@spatialthoughts
    @spatialthoughts
    Working with large files like these can be tricky with traditional Python libraries like rasterio. You can easily run out of RAM and processing is slow. The #XArray ecosystem makes it a pleasure to work with the data. We read the bands using #rioxarray. (3/n)
    Download
    10101.2K
  15. Joachim Schork✓@JoachimSchork
    Exciting news for the geospatial community! A new dedicated platform is now available for open-source geospatial Python tutorials, featuring #GeoPandas, #XArray, #Dask, and more. A great resource for anyone working with geospatial data. Thank you, @spatialthoughts, for making these valuable tutorials accessible! #Geospatial #Python #DataScience #OpenSource
    Ujaval Gandhi @spatialthoughts
    Launching a new home for all our open-source geospatial python tutorials - covering #GeoPandas, #XArray, #Dask, #XEE, #SamGeo and more. Check them out at
    0171.4K
  17. Irene@igarciamarti
    @igarciamarti
    I quickly jumped to #QGIS to find out why my 3GB tile at 1m resolution could not be resampled at 100m. Luckily, the #grassgis resample module managed this task with no problem and a reduced memory usage. So it was not my computer, but something unknown within #xarray library.
    112274
  18. Fabian Hofmann@fabianmarik
    🚀 You like optimization? And you love Python? Then, check out Linopy, a new, open-source Python package 🐍 that makes linear and MILP optimization fast and memory-efficient. The best thing: You can use array-like operations & indexing like you're used to from #pandas & #xarray
    Download
    2196212.5K
  19. PyData✓@PyData
    Xarray is an open source library providing high-level, easy-to-use data structures and analysis tools for working with multidimensional labeled datasets and arrays in #Python. #NumFOCUS Sponsored Project since 2018 #xarray @xarray_dev
    Download
    1737
  20. Digital Earth Africa@DEarthAfrica
    Want to access EO data in the cloud using Xarray? This beginner-friendly talk by Marco Wolsza (NITheCS Micro School) features DEarthAfrica tools & datasets. Great intro to working with open geospatial data! Watch here: #EO #Xarray #OpenData
    Download
    0115356
  21. PyData✓@PyData
    Xarray is an open source library providing high-level, easy-to-use data structures and analysis tools for working with multidimensional labeled datasets and arrays in #Python. #NumFOCUS Sponsored Project since 2018 #xarray @xarray_dev
    Download
    11240
  22. Yohei Takano@YoheiTakano3
    When I am working on laptop or desktop, I use xarray+NetCDF but should I know consider using zarr? I see nice things working on cloud storages from brief reading but would like to know more about the advantage (#python, #xarray)
    102
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