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pyproj

pyproj

Guide Python geospatial workflows with pyproj for CRS definition and inspection, coordinate transformation, geodesic measurement, PROJ database queries, and safe CLI, data-directory, and grid operations.

Independent GitHub snapshot · Automated classification · Original documentation governs

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GitHub

name: pyproj description: "Guide Python geospatial workflows with pyproj for CRS definition and inspection, coordinate transformation, geodesic measurement, PROJ database queries, and safe CLI, data-directory, and grid operations." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

pyproj operating guide

Use this skill when a task names pyproj, PROJ, EPSG/WKT/PROJJSON/CF coordinate reference systems, CRS-to-CRS conversion, map projection, ellipsoidal distance or area, UTM/AOI lookup, or PROJ data/grid diagnostics. It is a runtime guide for the public package, not a maintainer guide for CI, release automation, or building all optional integrations.

Fast route

  1. Check that a coherent pyproj installation imports and that its native PROJ runtime can locate proj.db. Use the read-only diagnostic linked from cli-data-and-network when the runtime is uncertain.
  2. Normalize the user's coordinate convention, CRS representations, dimensions, units, geographic area, and required accuracy before choosing an API.
  3. Read exactly the focused route below, then its linked references. Do not use a numeric result as proof that axis order, datum operation, grid availability, or units were correct.

Focused routes

  • crs-and-database — construct, inspect, compare, serialize, and query CRS, datums, axes, operations, authorities, areas of use, AOIs, UTM candidates, and PROJ database records.
  • coordinate-transformations — execute reusable Transformer operations, pipelines, TransformerGroup selection, projection-only Proj, bounds, arrays, time, and grid-aware validation.
  • geodesic-calculations — use Geod for ellipsoidal forward/inverse work, azimuths, intermediate points, line length, polygon area/perimeter, and optional Shapely adapters.
  • cli-data-and-network — install or diagnose native runtime/data state, use CLI help/version commands, manage data directories, and plan explicit network-backed grid synchronization.

Minimal installation and smoke check

For normal users, prefer a binary distribution:

python -m pip install pyproj
python -c "from pyproj import CRS, Geod, Transformer; print(CRS.from_epsg(4326).to_epsg()); print(Transformer.from_crs(4326, 3857, always_xy=True).transform(0, 0)); print(Geod(ellps='WGS84').inv(0, 0, 1, 1)[2])"

Conda-forge is an alternative for a coherent compiled stack:

conda create -n <new-env> -c conda-forge pyproj
conda run -n <new-env> python -c "import pyproj; print(pyproj.__version__, pyproj.proj_version_str)"

Do not casually mix pip and Conda packages. Core CRS, transformation, and Geod workflows do not require remote transformation grids, although some high-accuracy datum operations do. Treat Shapely, dataframe adapters, and network grids as explicit optional surfaces.

Shared operating rules

  • Preserve authoritative CRS identifiers, WKT2, or PROJJSON when fidelity matters. PROJ4 strings are useful compatibility inputs but can lose metadata.
  • Inspect CRS.axis_info before transforming. If application data is (x, y) or (longitude, latitude), choose always_xy=True deliberately and record that interface contract.
  • Use a reusable Transformer for CRS-to-CRS and datum changes. Proj is for projection within a datum, not a generic datum-shift converter.
  • For Geod, coordinates are (longitude, latitude) and distances are metres; polygon areas are square metres and algebraically signed.
  • Keep network access disabled unless explicitly approved. Never silently download grids, change a data directory, or treat a ballpark operation as an exact replacement.
  • When native import, proj.db, or SQLite errors appear, stop API debugging and follow the runtime recovery in references/troubleshooting.md.

Shared references and helper

Out of scope

This graph does not teach PROJ/pyproj release engineering, CI matrix maintenance, wheel publication, broad GIS application frameworks, raster/vector file I/O, or unbounded network data acquisition. Route those tasks to a more appropriate skill or ask for a narrower pyproj API surface.

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