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31 Parse Getinfo Results
ASecuritySub-skill of google-earth-engine: 3.1 Parse getInfo() Results (+2).
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- Added September 9, 2026
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[](https://www.skillsdirectory.com/skills/vamseeachanta-31-parse-getinfo-results)---
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
```python
# Always limit getInfo() to small results — expensive call
result = stats.getInfo()
depth_min = result["elevation_min"]
depth_max = result["elevation_max"]
depth_mean = result["elevation_mean"]
```
## 3.2 Read Exported GeoTIFF
```python
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
```python
import pandas as pd
# Reduce collection to time series at a point
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"])
```
---
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