dataset.txt

I chose to get Tucson weather data form a handful of stations that represented a cross section of the valley as well as spanning as much time as I could.
I did this because I was curious to see if there was any information that oculd be cleaned about what might cause extended periods
of windier than average days.

url = 'https://www.ncei.noaa.gov/access/services/data/v1'
params = {
    'dataset': 'daily-summaries',
    'dataTypes': ['ACMH', 'ACSH', 'ADPT', 'ASLP', 'ASTP', 'AWBT', 'AWND', 'DAEV', 'DAPR', 'DAWM', 'EVAP', 'FMTM', 'FRGT', 'MDEV', 'MDPR',
                            'MDWM', 'MNPN', 'MXPN', 'PGTM', 'PRCP', 'PSUN', 'RHAV', 'RHMN', 'RHMX', 'SNOW', 'SNWD', 'TAVG', 'THIC', 'TMAX', 'TMIN',
                            'TOBS', 'TSUN', 'WDF1', 'WDF2', 'WDF5', 'WDFG', 'WDFM', 'WDMV', 'WESD', 'WESF', 'WSF1', 'WSF2', 'WSF5', 'WSFG', 'WSFM',
                            'WT01', 'WT02', 'WT03', 'WT04', 'WT05', 'WT06', 'WT07', 'WT08', 'WT09', 'WT10', 'WT11', 'WT13', 'WT14', 'WT16', 'WT18',
                            'WT19', 'WT21', 'WT22', 'WV03'],
    'stations': ['US1AZPM0003',
            'USC00028817',
            'USC00028590',
            'USC00028815',
            'USC00022159',
            'USW00023160',
            'USW00023109',
            'USC00028800',
            'USC00028796',
            'USC00027355'],
    'startDate': '1893-01-01',
    'endDate': '2023-04-13',
    'boundingBox': '90,-180,-90,180',
    'includeAttributes': True,
    'includeStationName': True,
    'includeStationLocation': True,
    'units': 'metric',
    'format': 'csv'
}
response = requests.get(url, params=params)

if response.status_code == 200:
    csv_data = response.text

else:
    print('Error:', response.status_code)