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!pip install --quiet climetlab

import climetlab as  cml

source = cml.load_source("cds",
        'insitu-observations-gruan-reference-network',
        variable= 'air_temperature',
        year= '2017',
        month= '01',
        day=['01', '02', '03',
            '04', '05', '06',
            '07', '08', '09',
            '10', '11', '12',
            '13', '14', '15',
            '16', '17', '18',
            '19', '20', '21',
            '22', '23', '24',
            '25', '26', '27',
            '28', '29', '30',
            '31',],
        format= 'csv-lev.zip')

df = source.to_pandas()

df

	station_name	report_timestamp	time_since_launch	report_id	longitude	latitude	height_of_station_above_sea_level	air_pressure	air_pressure_total_uncertainty	air_temperature
0	LIN	2017-01-01 00:00:00+00:00	0.00000	242982	14.1203	52.2094	103.8	101096.00	36.8895	274.357
1	LIN	2017-01-01 00:00:00+00:00	1.00000	242982	14.1203	52.2094	103.8	101019.00	36.8886	274.321
2	LIN	2017-01-01 00:00:00+00:00	2.00000	242982	14.1204	52.2094	103.8	100946.00	36.8878	274.282
3	LIN	2017-01-01 00:00:00+00:00	3.00012	242982	14.1204	52.2095	103.8	100879.00	36.8870	274.255
4	LIN	2017-01-01 00:00:00+00:00	4.00012	242982	14.1204	52.2095	103.8	100810.00	36.8861	274.257
...	...	...	...	...	...	...	...	...	...	...
1645953	LIN	2017-01-31 18:00:00+00:00	5002.16000	246127	14.3240	51.9910	103.8	2354.49	37.2003	198.804
1645954	LIN	2017-01-31 18:00:00+00:00	5003.16000	246127	14.3247	51.9909	103.8	2352.38	37.1999	198.776
1645955	LIN	2017-01-31 18:00:00+00:00	5004.16000	246127	14.3253	51.9909	103.8	2350.24	37.1994	198.747
1645956	LIN	2017-01-31 18:00:00+00:00	5005.16000	246127	14.3260	51.9908	103.8	2347.39	37.1988	198.710
1645957	LIN	2017-01-31 18:00:00+00:00	5006.16000	246127	14.3267	51.9907	103.8	2344.79	37.1982	198.670

1645958 rows × 10 columns

cml.plot_map(df[(df.time_since_launch==0)])