def compute_connections(incidents,
incident_filter=(lambda i: True),
min_checkins = MIN_CHECKINS):
counts_by_unit = fire.count_checkins_by(incidents)
good_units = set([u
for (u,c) in counts_by_unit.iteritems()
if c >= min_checkins])
# compute connections
connections = { u: defaultdict(int)
for u in good_units }
for i in incidents:
if incident_filter(i):
gus = [u for u in i['units'] if u in good_units]
for u1 in gus:
for u2 in gus:
if u1 != u2:
connections[u1][u2] += 1
return connections, counts_by_unit
locations,
type_re='(?i)(fire$|fire [^a])',
resize_by=(lambda x: x))
# assaults
plot_incidents(incidents,
locations,
type_re='(?i)(assault)',
resize_by=(lambda x: x))
# average centroid of solo checkins for E trucks
CUTOFF = 100
counts_by_unit = fire.count_checkins_by(incidents)
good_units = set([u
for (u,c) in counts_by_unit.iteritems()
if c >= CUTOFF])
locs_by_unit = {u : [] for u in good_units}
for i in incidents:
if len(i["units"]) <= 1:
loc = i["location"]
if loc in locations and locations[loc]:
lat,lng = locations[loc]
for u in i['units']:
if u in good_units:
locs_by_unit[u].append((lat,lng))
plot_incidents(incidents,
locations,
type_re='(?i)(fire$|fire [^a])',
resize_by=(lambda x: x))
# assaults
plot_incidents(incidents,
locations,
type_re='(?i)(assault)',
resize_by=(lambda x: x))
# average centroid of solo checkins for E trucks
CUTOFF = 100
counts_by_unit = fire.count_checkins_by(incidents)
good_units = set([u for (u, c) in counts_by_unit.iteritems() if c >= CUTOFF])
locs_by_unit = {u: [] for u in good_units}
for i in incidents:
if len(i["units"]) <= 1:
loc = i["location"]
if loc in locations and locations[loc]:
lat, lng = locations[loc]
for u in i['units']:
if u in good_units:
locs_by_unit[u].append((lat, lng))
def median(lst):
