def test_contour2():
files = glob.glob(sample_files.EXAMPLE_MET_CONTOUR)
time = '2019-05-08T04:00:00.000000000'
data = {}
fields = {}
wind_fields = {}
station_fields = {}
for f in files:
obj = arm.read_netcdf(f)
data.update({f: obj})
fields.update({f: ['lon', 'lat', 'temp_mean']})
wind_fields.update(
{f: ['lon', 'lat', 'wspd_vec_mean', 'wdir_vec_mean']})
station_fields.update({f: ['lon', 'lat', 'atmos_pressure']})
display = ContourDisplay(data, figsize=(8, 8))
display.create_contour(fields=fields,
time=time,
levels=50,
contour='contour',
cmap='viridis')
display.plot_vectors_from_spd_dir(fields=wind_fields,
time=time,
mesh=False,
grid_delta=(0.1, 0.1))
display.plot_station(fields=station_fields,
time=time,
markersize=7,
color='pink')
try:
return display.fig
finally:
matplotlib.pyplot.close(display.fig)
def test_contour():
files = glob.glob(sample_files.EXAMPLE_MET_CONTOUR)
time = '2019-05-08T04:00:00.000000000'
data = {}
fields = {}
for f in files:
obj = arm.read_netcdf(f)
data.update({f: obj})
fields.update({f: ['lon', 'lat', 'temp_mean']})
display = ContourDisplay(data, figsize=(8, 8))
display.create_contour(fields=fields, time=time, levels=50)
return display.fig