def extract_properties()

in src/mapillary/utils/extract.py [0:0]

• 9 lines of code
• 5 McCabe index (conditional complexity)

def extract_properties(geojson: dict, properties: list) -> dict:
    """
    Extracts specific properties from a complete GeoJSON

    :param geojson: GeoJSON object
    :type geojson: dict

    :param properties: A list of properties to extract
    :type properties: list

    :return: The extracted fields as a dict
    :rtype: dict

    Usage::

        >>> from utils.extract import extract_properties
        >>> extract_properties(geojson={"type":"FeatureCollection","features":[{"type":"Feature",
        ... "geometry":{"type":"Point","coordinates":[-80.12991070747375,25.787652114106322]},
        ... "properties":{"captured_at":1540386861135, "compass_angle":252.04260253906,"id":
        ... 1274987139570038,"is_pano":'False',"sequence_id":"Vf8Iwxx5SemxI7_b_7J5Kw"}},{"type":
        ... "Feature","geometry":{"type":"Point","coordinates":[-80.13223886489868,
        ... 25.78756517066695]}, "properties":{"captured_at":1422989164000,"compass_angle":
        ... 89.781,"id":169629268373019,"is_pano": "True","sequence_id":"dqjuprkOwUnmdEVt5gx-Iw"}}]}
        ... , properties=['id']) # id most likely exists
    """

    extracted_fields = {}

    for entry in properties:
        extracted_fields[entry] = []

    for feature in geojson["features"]:
        for entry in properties:
            if entry in feature["properties"]:
                extracted_fields[entry].append(feature["properties"][entry])

    return extracted_fields