Drop datashader from packaging and install docs

Aperta
#3,450 0 commenti 0 reazioni 0 assegnatari Vedi su GitHub

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Valutazione

Difficoltà
2/5
Tempo stimato
1-3 ore
Idoneità per principianti
45/100
Tipo di issue
Refactoring
Chiarezza
Specificata chiaramente
Stato di attività
Tranquilla
Stack tecnologico
matplotlib, python
Ambito
build-system, documentation

Direzione di ricerca

Wait until the listed source, benchmark, notebook, and example issues are complete, then inspect the examples extra in setup.cfg and the dependency table in docs/source/getting_started/installation.rst. Remove the remaining datashader entries, ensure the stated plotting dependency is covered, and verify a clean examples install, the xrspatial import, and the specified grep command.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

enhancement infrastructure

Reason or Problem

datashader is currently listed under the examples extra in setup.cfg. Once the source code, user-guide notebooks, and example notebooks no longer import it, the dependency declaration should go away so a fresh pip install xarray-spatial[examples] no longer pulls datashader.

This is the closing step of the wider effort to remove datashader as a dependency. xarray-spatial's own rasterize() (xrspatial/rasterize.py, available as arr.xrs.rasterize(...)) covers the vector-rasterization use cases, and matplotlib covers the visualization use cases.

Proposal

  • Remove the datashader >= 0.15.0 line from setup.cfg (the examples extra).
  • Make sure matplotlib (and any colormap source the notebooks now rely on) is present in the appropriate extra.
  • Remove the datashader row from docs/source/getting_started/installation.rst.

Done when

  • A clean environment installs xarray-spatial without datashader, and python -c "import xrspatial" succeeds.
  • grep -rn datashader xrspatial/ setup.cfg docs/source/getting_started/ returns nothing.

The only datashader references left in the repo after this are the comparison benchmark and the historical-credit prose, both kept on purpose.

Blocked by

This must land last, after every issue below, otherwise [examples] users lose datashader while the notebooks still import it.

Source and benchmark:

  • #3451 Remove canvas_like and datashader references from source code
  • #3452 Guard the datashader import in the rasterizer benchmark

User-guide notebooks:

  • #3453 surface
  • #3454 proximity
  • #3455 focal
  • #3456 zonal
  • #3457 classification
  • #3458 multispectral
  • #3459 fire
  • #3460 pathfinding

Example notebooks and script:

  • #3461 Pathfinding_Austin_Road_Network
  • #3462 pharmacy-deserts
  • #3463 classification-methods
  • #3464 animated_hillshade.py
Lingua principale
Python
Stelle
972
Fork
92
Merge medio
2g 12h
PR unite (30g)
7

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