ambient-wx 0.1.1

API Wrapper for the Ambient Weather Station API with meteorological units and pandas functionality as well

Ambient Weather Station API Wrapper

There are a couple of great packages that do a great job but this package introduces units. It also serves as a side-project for me. ☺️

This is currently a work in progress to get it in a package and with the proper tests and CI.

Units

Units are set for these fields using the pint python library:

• windspeedmph - mph
• windgustmph - mph
• maxdailygust - mph
• tempf - degF
• baromrelin - Hg
• baromabsin - Hg
• tempinf - degF
• hourlyrainin - inches
• dailyrainin - inches
• monthlyrainin - inches
• yearlyrainin - inches
• feelsLike - degF
• dewPoint - degF
• winddir - degrees
• winddir_avg10m - degrees
• humidity - percent
• humidityin - percent

Setup the API object

from ambient_wx import AmbientApi
api_key = "123"
app_key = "456"
api = AmbientApi(api_key, app_key)

Get Devices

from ambient_wx import WxDeviceCollection
devices = WxDeviceCollection(api)
devices.get_devices()
device = devices.devices[0] # first device
print(device.mac_addr)

Get Device Obervations

from ambient_wx import WxObservationCollection
# with a device object
obs = WxObservationCollection(api, device=device)

# or with a known device mac addr to skip an api call for a device
obs = WxObservationCollection(api, mac_addr="some_mac_addr")

# get the last 5 observations this populates obs.data as a 
# list of WxObservation objects
obs.get_observations(limit=5)

# iterate through observations
for o in obs.data:
    print(o.tempf, o.winddir, o.humidity)

Get data for an end date

obs = WxObservationCollection(api, device)
obs.get_observations(end_date=datetime(2024, 4, 25))

for o in obs.data:
    print(o.tempf, o.winddir, o.humidity)

Perform Unit Conversions

# convert deg F to deg C
degc = obs.data[0].tempf.to('degC') 
print(degc)

Create pandas Dataframe from Observations

df = obs.to_dataframe()
print(df)

Write csv from Observations

obs.write_csv("/some_path/my_observations.csv")