Visualize Latest Observations from the Ambient Weather Stations#
Imports#
import glob
import xarray as xr
from bokeh.models.formatters import DatetimeTickFormatter
import hvplot.xarray
import holoviews as hv
from distributed import Client
import warnings
warnings.filterwarnings("ignore")
hv.extension('bokeh')
Start up a Dask Cluster#
client = Client()
client
Client
Client-f91d9a55-eaf7-11ef-8a95-7c1e528ae13e
Connection method: Cluster object | Cluster type: distributed.LocalCluster |
Dashboard: http://127.0.0.1:8787/status |
Cluster Info
LocalCluster
fcacf6f4
Dashboard: http://127.0.0.1:8787/status | Workers: 4 |
Total threads: 4 | Total memory: 15.62 GiB |
Status: running | Using processes: True |
Scheduler Info
Scheduler
Scheduler-bfd774d6-6f1e-4c56-af2d-eb80687121ad
Comm: tcp://127.0.0.1:40067 | Workers: 4 |
Dashboard: http://127.0.0.1:8787/status | Total threads: 4 |
Started: Just now | Total memory: 15.62 GiB |
Workers
Worker: 0
Comm: tcp://127.0.0.1:41261 | Total threads: 1 |
Dashboard: http://127.0.0.1:33255/status | Memory: 3.90 GiB |
Nanny: tcp://127.0.0.1:35811 | |
Local directory: /tmp/dask-scratch-space/worker-mxotpa8u |
Worker: 1
Comm: tcp://127.0.0.1:36083 | Total threads: 1 |
Dashboard: http://127.0.0.1:35967/status | Memory: 3.90 GiB |
Nanny: tcp://127.0.0.1:42455 | |
Local directory: /tmp/dask-scratch-space/worker-glwquich |
Worker: 2
Comm: tcp://127.0.0.1:33331 | Total threads: 1 |
Dashboard: http://127.0.0.1:36167/status | Memory: 3.90 GiB |
Nanny: tcp://127.0.0.1:32885 | |
Local directory: /tmp/dask-scratch-space/worker-g12u9snc |
Worker: 3
Comm: tcp://127.0.0.1:43773 | Total threads: 1 |
Dashboard: http://127.0.0.1:34177/status | Memory: 3.90 GiB |
Nanny: tcp://127.0.0.1:36035 | |
Local directory: /tmp/dask-scratch-space/worker-1bp8uw74 |
Read the Sorted Data, Using the Last File#
files = sorted(glob.glob('../../data/surface-meteorology/*/*/*/*.nc'))
ds = xr.open_mfdataset(files[-60:])
Plot the Data#
formatter = DatetimeTickFormatter(hours="%d %b %Y \n %H:%M UTC")
variables = ['outdoor_temperature', 'outdoor_dewpoint', 'hourlyrainin', 'solarradiation']
panels = []
for variable in variables:
panels.append(ds[variable].hvplot.line(x='time', by='station', xformatter=formatter))
hv.Layout(panels).cols(1)