def yesterday(self):
return self[(self.time > yesterday()) & (self.time < now())]
"end": end,
"address": address,
"month": start.month,
"hour": start.hour,
"year": start.year,
}
loc = {"lat": None, "lon": None, "coordinates": []}
# here switch lon|lat
coor = sum(
[[
format_latlng((x.split(",")[1], x.split(",")[0])).split(", ")
for x in c.split()
] for c in coords],
[],
)
if coor:
loc["coordinates"] = coor
loc["lat"] = coor[0][0]
loc["lon"] = coor[0][1]
# for data in placemark.xpath("//klm:Data", namespaces=N):
# cats.update(data.xpath("./@name", namespaces=N))
d.update(loc)
days.append(d)
df = pd.DataFrame(days)
df = df.reindex(list(d.keys()), axis=1)
yday = yesterday()
tmpl = "/home/pascal/Downloads/timeline_data-{}-{:02d}-{:02d}.csv"
df.to_csv(tmpl.format(yday.year, yday.month, yday.day))