def test_dashboard_with_invalid_datatype():
with pytest.raises(ValueError):
Dashboard(str)
def dash_for_Array(data):
return Dashboard(data.temp)
#one_image_res = dsi.isel(time=[0]).to_array().values
#plot first image
dsi.isel(time=[0]).to_array().plot() #shows upsidedown than imshow
# <codecell>
# or, select by date/name
dsi.sel(time='05/31/1969-00').to_array().plot()
# <codecell>
#dsi.to_netcdf('dtw_historic_with_dates.nc')
dsi.to_netcdf('dtw_historic_with_dates_netcdf3.nc', format='NETCDF3_64BIT')
# <codecell>
dashboard = Dashboard(ds_wt)
dashboard.show()
#
#%% select points to plot tiime variation and probability distribution
one_location = ds_wt.isel(x=[600], y=[500]).to_array()
#plot one_location
#ds_wt.isel(x=[500], y = [500]).to_array().plot() #shows upsidedown than imshow
# <codecell> how to define an xrray dataset
sns.distplot(one_location)
sns.distplot(one_location, bins=20, kde=False, rug=True)
def dashboard(data):
return Dashboard(data)
import xarray as xr import xrviz from xrviz.dashboard import Dashboard ds = xrviz.sample_data.great_lakes dash = Dashboard(ds) dash.show()