You can run this notebook in , in , in or in .

!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)])