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Netatmo GeoPy

Pythonic package to access Netatmo CWS data.

import netatmo_geopy as nat

lon_sw, lat_sw, lon_ne, lat_ne = 6.5175, 46.5012, 6.7870, 46.6058
cws_recorder = nat.CWSRecorder(lon_sw, lat_sw, lon_ne, lat_ne)
gdf = cws_recorder.get_snapshot_gdf()
gdf.head()
<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; }
 .dataframe tbody tr th {
     vertical-align: top;
 }

 .dataframe thead th {
     text-align: right;
 }
</style>
<table border="1" class="dataframe">
    <thead>
        <tr style="text-align: right;">
            <th></th>
            <th>2022-02-12T19:13</th>
            <th>geometry</th>
        </tr>
        <tr>
            <th>station_id</th>
            <th></th>
            <th></th>
        </tr>
    </thead>
    <tbody>
        <tr>
            <th>02:00:00:01:5e:e0</th>
            <td>6.6</td>
            <td>POINT (6.82799 46.47089)</td>
        </tr>
        <tr>
            <th>02:00:00:22:c0:c0</th>
            <td>4.9</td>
            <td>POINT (6.82904 46.47005)</td>
        </tr>
        <tr>
            <th>02:00:00:2f:0b:16</th>
            <td>3.5</td>
            <td>POINT (6.82516 46.47294)</td>
        </tr>
        <tr>
            <th>02:00:00:59:00:2a</th>
            <td>3.8</td>
            <td>POINT (6.84547 46.46779)</td>
        </tr>
        <tr>
            <th>02:00:00:52:ed:5a</th>
            <td>3.8</td>
            <td>POINT (6.87359 46.47067)</td>
        </tr>
    </tbody>
</table>
nat.plot_snapshot(gdf)

lausanne-snapshot

See the user guide for a more thorough overview of netatmo-geopy.

Acknowledgements

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