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rasterize_observations

Rasterize observation rows into a biological cube.

Callable type: Direct helper function · Browse: Spatial and alignment

Call this helper directly with the documented data arguments; it does not return a configured pipe stage. Use v.apply(...) or an explicit callable if composition is needed.

Usage

from cubedynamics import verbs as v
v.rasterize_observations(observations, *, template, time_col='date', y_col='y', x_col='x', value_col='value', reducer='sum', name=None)

Arguments

Argument Meaning Default
observations See implementation docstring below; no parameter-specific description supplied. required
template See implementation docstring below; no parameter-specific description supplied. required
time_col See implementation docstring below; no parameter-specific description supplied. 'date'
y_col See implementation docstring below; no parameter-specific description supplied. 'y'
x_col See implementation docstring below; no parameter-specific description supplied. 'x'
value_col See implementation docstring below; no parameter-specific description supplied. 'value'
reducer See implementation docstring below; no parameter-specific description supplied. 'sum'
name See implementation docstring below; no parameter-specific description supplied. None

Accepts

Consult the input parameters and implementation notes below. This namespace also includes direct helpers, not only pipe factories.

Returns

The public docstring does not specify a return contract. Do not assume a pipe-ready return; consult the linked implementation.

Order / grammar behavior

A pipe passes the preceding result to the next callable. Confirm that the previous step's dimensions and semantic state satisfy the input contract. Reductions can remove dimensions; plotting may produce side effects.

Minimal example

Run from the repository root after python -m pip install -e '.[vignettes]'. Uses the checked observational PRISM fixture; no network is required.

from pathlib import Path
import xarray as xr
import matplotlib.pyplot as plt
from cubedynamics import pipe, verbs as v

# Frozen, reviewed PRISM observations; run from the repository root.
path = Path("tests/fixtures/real_data/prism_boulder_january_2024.nc")
with xr.open_dataset(path, engine="scipy") as observed:
    cube = observed["tmax"].load()
assert cube.attrs["units"] == "degC"

rows = cube.to_dataframe(name="value").reset_index()
# Re-grid actual PRISM cell-center observations; this is not a biological survey.
result = v.rasterize_observations(rows, template=cube, time_col="time", reducer="mean")
result.isel(time=0).plot()
plt.show()

Works with

Use only the input types documented by this callable; not every helper accepts every noun or VirtualCube.

See also

Implementation notes

No additional implementation notes in the current docstring.

Implementation source. Signatures and descriptions on this page are generated from this checkout, not hand-maintained copies.