Ejemplos de find_geography_by_xref en Python

Ejemplo n.º 1

Archivo: load_sf_data_2010.py Proyecto: AlgoREIT/census

collection = utils.get_geography_collection()

with open(FILENAME) as f:
    rows = UnicodeCSVReader(f)
    headers = rows.next()

    updates = 0
    row_count = 0

    for row in rows:
        row_count += 1
        row_dict = dict(zip(headers, row))

        xref = utils.xref_from_row_dict(row_dict)

        geography = utils.find_geography_by_xref(collection, xref, fields=['data']) 
        if not geography:
            continue

        if YEAR not in geography['data']:
            geography['data'][YEAR] = {}

        tables = {}

        for k, v in row_dict.items():
            # Format table names to match labels
            t = utils.parse_table_from_key(k) 
            
            if t not in tables:
                tables[t] = {}

Ejemplo n.º 2

Archivo: load_sf_data_2000.py Proyecto: zstumgoren/census

collection = db[config.GEOGRAPHIES_2000_COLLECTION]

with open(FILENAME) as f:
    rows = UnicodeCSVReader(f)
    headers = rows.next()

    updates = 0
    row_count = 0

    for row in rows:
        row_count += 1
        row_dict = dict(zip(headers, row))

        xref = utils.xref_from_row_dict(row_dict)

        geography = utils.find_geography_by_xref(collection, xref) 
        if not geography:
            continue

        if YEAR not in geography['data']:
            geography['data'][YEAR] = {}

        tables = {}

        for k, v in row_dict.items():
            # Format table names to match labels
            t = utils.parse_table_from_key(k) 

            if t not in tables:
                tables[t] = {}

Ejemplo n.º 3

with open(FILENAME) as f:
    rows = UnicodeCSVReader(f)
    headers = rows.next()

    updates = 0
    row_count = 0

    for row in rows:
        row_count += 1
        row_dict = dict(zip(headers, row))

        xref = utils.xref_from_row_dict(row_dict)

        geography = utils.find_geography_by_xref(collection,
                                                 xref,
                                                 fields=['data'])
        if not geography:
            continue

        if YEAR not in geography['data']:
            geography['data'][YEAR] = {}

        tables = {}

        for k, v in row_dict.items():
            # Format table names to match labels
            t = utils.parse_table_from_key(k)

            if t not in tables:
                tables[t] = {}

Ejemplo n.º 4

Archivo: load_sf_data_2000.py Proyecto: ravikafle/census

collection = utils.get_geography2000_collection()

with open(FILENAME) as f:
    rows = UnicodeCSVReader(f)
    headers = rows.next()

    updates = 0
    row_count = 0

    for row in rows:
        row_count += 1
        row_dict = dict(zip(headers, row))

        xref = utils.xref_from_row_dict(row_dict)

        geography = utils.find_geography_by_xref(collection, xref)
        if not geography:
            continue

        if YEAR not in geography['data']:
            geography['data'][YEAR] = {}

        tables = {}

        for k, v in row_dict.items():
            # Format table names to match labels
            t = utils.parse_table_from_key(k)

            if t not in tables:
                tables[t] = {}