| name | google-earth-engine-31-parse-getinfo-results |
| description | Sub-skill of google-earth-engine: 3.1 Parse getInfo() Results (+2). |
| version | 1.0.0 |
| category | engineering/gis |
| type | reference |
| scripts_exempt | true |
3.1 Parse getInfo() Results (+2)
3.1 Parse getInfo() Results
result = stats.getInfo()
depth_min = result["elevation_min"]
depth_max = result["elevation_max"]
depth_mean = result["elevation_mean"]
3.2 Read Exported GeoTIFF
import rasterio
import numpy as np
with rasterio.open("gebco_north_sea_500m.tif") as src:
depth = src.read(1).astype(float)
depth[depth == src.nodata] = np.nan
transform = src.transform
crs = src.crs
print(f"Grid: {depth.shape}, depth range: {np.nanmin(depth):.0f} to {np.nanmax(depth):.0f} m")
3.3 Time-Series to DataFrame
import pandas as pd
point = ee.Geometry.Point([-1.5, 57.0])
ts = era5_ws.map(lambda img: img.reduceRegion(
reducer=ee.Reducer.mean(),
geometry=point,
scale=10000
).set("date", img.date().format("YYYY-MM-dd")))
data = ts.aggregate_array("date").getInfo()
ws_vals = ts.aggregate_array("wind_speed").getInfo()
df = pd.DataFrame({"date": data, "wind_speed_ms": ws_vals})
df["date"] = pd.to_datetime(df["date"])