examples for multiple calls

%load_ext nb_black
import ambee_sdk as ambee
import pandas as pd
import datetime

postcodes = [(560016, "IN"), (560017, "IN"), (560018, "IN")]
lat_lngs = [(12, 77), (12.05, 77.05), (12.1, 77.1)]
cities = ["Bangalore", "Mysore", "Delhi"]
countrycodes = ["IN", "US", "FR"]
places = ["London,UK", "Paris,FR", "Boston,US"]

to_val = datetime.datetime.utcnow()
from_val = to_val - datetime.timedelta(days=1)

to_val = to_val.strftime("%Y-%m-%d %H:%M:%S")
to_val

from_val = from_val.strftime("%Y-%m-%d %H:%M:%S")
from_val

x_api_key = "Your API Key"

aq = ambee.air_quality(x_api_key=x_api_key)

aq.multiple_calls(
    by="postcode",
    func=aq.get_latest,
    postalCodes=postcodes,
)

dfs = aq.multiple_calls(
    by="postcode",
    func=aq.get_latest,
    postalCodes=postcodes,
    return_df=True,
)
pd.concat(dfs)

aq.multiple_calls(by="latlng", func=aq.get_latest, lat_lngs=lat_lngs)

dfs = aq.multiple_calls(
    by="latlng", func=aq.get_latest, lat_lngs=lat_lngs, return_df=True
)
pd.concat(dfs)

aq.multiple_calls(
    by="city",
    func=aq.get_latest,
    cities=cities,
)

dfs = aq.multiple_calls(by="city", func=aq.get_latest, cities=cities, return_df=True)
pd.concat(dfs)

aq.multiple_calls(
    by="countrycode",
    func=aq.get_latest,
    countryCodes=countrycodes,
)

dfs = aq.multiple_calls(
    by="countrycode", func=aq.get_latest, countryCodes=countrycodes, return_df=True
)
pd.concat(dfs)

dfs = aq.multiple_calls(
    by="latlng",
    func=aq.get_historical,
    lat_lngs=lat_lngs,
    from_val=from_val,
    to_val=to_val,
    return_df=True,
)
pd.concat(dfs)

pollen = ambee.pollen(x_api_key=x_api_key)

dfs = pollen.multiple_calls(
    by="latlng", func=pollen.get_latest, lat_lngs=lat_lngs, return_df=True
)
pd.concat(dfs)

dfs = pollen.multiple_calls(
    by="place", func=pollen.get_latest, places=places, return_df=True
)
pd.concat(dfs)

dfs = pollen.multiple_calls(
    by="latlng",
    func=pollen.get_historical,
    lat_lngs=lat_lngs,
    from_val=from_val,
    to_val=to_val,
    return_df=True,
)
pd.concat(dfs)

dfs = pollen.multiple_calls(
    by="place",
    func=pollen.get_historical,
    places=places,
    from_val=from_val,
    to_val=to_val,
    return_df=True,
)
pd.concat(dfs)

dfs = pollen.multiple_calls(
    by="latlng", func=pollen.get_forecast, lat_lngs=lat_lngs, return_df=True
)
pd.concat(dfs)

dfs = pollen.multiple_calls(
    by="place", func=pollen.get_forecast, places=places, return_df=True
)
pd.concat(dfs)

df = pd.concat(dfs)

gdf = pollen.to_geodataframe(df)