Xarray version

xarray_example.py

@@ -0,0 +1,39 @@
+import numpy as np
+import xarray as xr
+import pandas as pd
+
+# File Details
+# TODO: pass as arguments to the script
+dt = '20201129'
+res = 25
+step = '1hr'
+run = '{:02}'.format(0)
+lat_toplot = np.arange(-43, -17.25, 0.25) # last number is exclusive
+lon_toplot = np.arange(135, 152.25, 0.25) # last number is exclusive
+
+# ******************************
+# SELECT GFS FILE
+# ******************************
+# URL
+URL = f'http:https://nomads.ncep.noaa.gov:80/dods/gfs_0p{res}_{step}/gfs{dt}/gfs_0p{res}_{step}_{run}z'
+
+variables = ['ugrd100m', 'vgrd100m', 'dswrfsfc', 'tcdcclm', 'tcdcblcll',
+ 'tcdclcll', 'tcdcmcll', 'tcdchcll', 'tmp2m', 'gustsfc']
+
+dataset = xr.open_dataset(URL)[variables]
+time = dataset.variables['time']
+lat = dataset.variables['lat'][:]
+lon = dataset.variables['lon'][:]
+# lev = dataset.variables['lev'][:]
+
+# Narrow Down Selection
+time_toplot = time
+# lev_toplot = np.array([1000])
+
+# Select required data via xarray
+dataset = dataset.sel(time=time_toplot, lon=lon_toplot, lat=lat_toplot)
+print(dataset)
+
+df = dataset.to_dataframe()
+# df = df.unstack(level=-1).fillna(0)
+print(df)