程式碼範例
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
使用 Python 存取預測格狀 API:
import io
import requests
import xarray as xr
API_KEY = "AIza...(replace with your API key)"
params = {"time": "2025-05-15T20:00:00Z"}
response = requests.get(
url="https://contrails.googleapis.com/v2/grids",
params=params,
headers={"x-goog-api-key": API_KEY},
)
response.raise_for_status()
dataset = xr.load_dataset(io.BytesIO(response.content))
如要將資料視覺化,請使用 Public_Contrails_API_Tester 筆記本。
如要使用 Python 存取預測區域 API,請按照下列步驟操作:
import requests
import geopandas as gpd
API_KEY = "AIza...(replace with your API key)"
params = {"time": "2025-05-15T20:00:00Z"}
response = requests.get(
url="https://contrails.googleapis.com/v2/regions",
params=params,
headers={"x-goog-api-key": API_KEY},
)
response.raise_for_status()
geodataframe = gpd.GeoDataFrame.from_features(response.json())
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上次更新時間:2025-06-02 (世界標準時間)。
[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間:2025-06-02 (世界標準時間)。"],[[["Access the Contrails API using Python with libraries like `requests` and `xarray` to retrieve contrail environmental impact data."],["Define parameters such as bounding box, aircraft type, and time to specify your API query."],["Utilize the provided Google API key and endpoint URL for authentication and data retrieval."],["Refer to the linked Google Colab notebook for a comprehensive example on querying the API and visualizing the data."]]],[]]