Easily access oceanographic data.
---seebuoy dumps real time and historic data buoy data from the NDBC into pandas dataframes. It's aim is to be easy to use:
from seebuoy import ndbc
df = ndbc.real_time('41013')
df.head()
date | WDIR | WSPD | GST | WVHT | DPD | APD | MWD | PRES | ATMP | WTMP | DEWP | VIS | PTDY | TIDE |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-09-26 19:50:00 | 280 | 3 | 4 | 1.1 | 7 | 5.9 | 159 | 1012.8 | 24.7 | 27.2 | 21.8 | nan | nan | nan |
2020-09-26 18:50:00 | 290 | 3 | 4 | 1.1 | 7 | 5.7 | 166 | 1013.4 | 24.4 | 27 | 21.7 | nan | nan | nan |
2020-09-26 17:50:00 | 310 | 2 | 3 | 1.1 | 7 | 5.6 | 165 | 1013.9 | 24.1 | 26.9 | 21.4 | nan | nan | nan |
2020-09-26 16:50:00 | 350 | 3 | 5 | 1.2 | 7 | 5.6 | 164 | 1014.7 | nan | 26.8 | nan | nan | nan | nan |
2020-09-26 16:40:00 | 340 | 3 | 5 | 1.2 | nan | 5.6 | 164 | 1014.7 | 24 | 26.8 | 21.4 | nan | nan | nan |
See the documentation for more detailed description.
pip install seebuoy