def update_plot(day):
transactions = set([t.pole for t in Transaction.transactions_for_day(day)])
poles_to_draw = [p for p in poles if p.id in transactions]
draw_xy = [(pole.lat, pole.lng) for pole in poles_to_draw]
plot.update(datasource, draw_xy)
def update_plot(day):
transactions = set(
map(lambda t: t.pole, Transaction.transactions_for_day(day)))
draw_poles = filter(lambda p: p.id in transactions, poles)
draw_xy = [(x.lat, x.long) for x in draw_poles]
plot.update(datasource, draw_xy)
def update_plot(day):
transactions = Transaction.transactions_for_day(day)
poles_by_heat = [[] for i in range(HEATMAP_GRANULARITY)]
for k, g in groupby(transactions, lambda t: t.pole):
hours = reduce(operator.add, map(lambda t: t.duration, g), 0)
i = min(
floor(HEATMAP_SCALING * hours / Transaction.MAX_DURATION *
HEATMAP_GRANULARITY), HEATMAP_GRANULARITY - 1)
poles_by_heat[i] += [k]
for i in range(HEATMAP_GRANULARITY):
draw_poles = filter(lambda p: p.id in poles_by_heat[i], poles)
draw_xy = [(x.lat, x.long) for x in draw_poles]
plot.update(datasources[i], draw_xy)
def update_plot(day):
transactions = Transaction.transactions_for_day(day)
poles_by_heat = [[] for i in range(HEATMAP_GRANULARITY)]
for pole, grouped_transactions in groupby(transactions, lambda t: t.pole):
hours = sum([t.duration for t in grouped_transactions])
i = min(
floor(HEATMAP_SCALING * hours / Transaction.MAX_DURATION * HEATMAP_GRANULARITY),
HEATMAP_GRANULARITY - 1
)
poles_by_heat[i] += [pole]
for i in range(HEATMAP_GRANULARITY):
poles_to_draw = [p for p in poles if p.id in poles_by_heat[i]]
draw_xy = [(x.lat, x.lng) for x in poles_to_draw]
plot.update(datasources[i], draw_xy)
def update_plot(day):
date = (datetime.datetime(2017, 1, 1) +
datetime.timedelta(day - 1)).strftime('%Y-%m-%d')
# Pass 1: Grab the transactions
transactions = Transaction.transactions(date, GASLAMP_BOUNDING_BOX)
print("Found {0} transactions...".format(len(transactions)))
poles = set(
map(
lambda tran: (tran.pole['pole_id'], tran.pole['latitude'], tran.
pole['longitude']), transactions))
# Pass 2: Grab the poles
# poles = Transaction.transaction_poles(date, GASLAMP_BOUNDING_BOX)
# print("Found {0} poles...".format(len(poles)))
# poles = map(lambda tran: list(tran.pole.values()), poles)
draw_xy = [(pole[1], pole[2]) for pole in poles]
plot.update(datasource, draw_xy)
from parking.transaction import Transaction
# Google requires you obtain and enable an API key:
#
# https://developers.google.com/maps/documentation/javascript/get-api-key
#
# Replace the value in config.json below with your personal API key:
config = get_config()
plot = GoogleMapPlot(api_key=config['GoogleMapsAPIKey'],
lat=SAN_DIEGO_COORDINATE[0],
lng=SAN_DIEGO_COORDINATE[1],
type="roadmap",
zoom=DEFAULT_ZOOM)
# Load the parking meter transactions before we start
Transaction.transactions()
poles = Meter.poles_in_gaslamp()
draw_xy = [(x.lat, x.lng) for x in poles]
datasource = plot.draw_points_with_circle_glyph(draw_xy,
attrs={
'fill_color': 'blue',
'size': 3
})
def update_plot(day):
transactions = set([t.pole for t in Transaction.transactions_for_day(day)])
poles_to_draw = [p for p in poles if p.id in transactions]