def test_declarative_sfc_obs_changes(ccrs):
"""Test making a surface observation plot, changing the field."""
data = pd.read_csv(get_test_data('SFC_obs.csv', as_file_obj=False),
infer_datetime_format=True, parse_dates=['valid'])
obs = PlotObs()
obs.data = data
obs.time = datetime(1993, 3, 12, 12)
obs.level = None
obs.fields = ['tmpf']
obs.colors = ['black']
obs.time_window = timedelta(minutes=15)
# Panel for plot with Map features
panel = MapPanel()
panel.layout = (1, 1, 1)
panel.projection = ccrs.PlateCarree()
panel.area = 'in'
panel.layers = ['states']
panel.plots = [obs]
panel.title = f'Surface Observations for {obs.time}'
# Bringing it all together
pc = PanelContainer()
pc.size = (10, 10)
pc.panels = [panel]
pc.draw()
obs.fields = ['dwpf']
obs.colors = ['green']
return pc.figure
def test_declarative_multiple_sfc_obs_change_units(ccrs):
"""Test making a surface observation plot."""
data = parse_metar_file(get_test_data('metar_20190701_1200.txt', as_file_obj=False),
year=2019, month=7)
obs = PlotObs()
obs.data = data
obs.time = datetime(2019, 7, 1, 12)
obs.time_window = timedelta(minutes=15)
obs.level = None
obs.fields = ['air_temperature', 'dew_point_temperature', 'air_pressure_at_sea_level']
obs.locations = ['NW', 'W', 'NE']
obs.colors = ['red', 'green', 'black']
obs.reduce_points = 0.75
obs.plot_units = ['degF', 'degF', None]
# Panel for plot with Map features
panel = MapPanel()
panel.layout = (1, 1, 1)
panel.projection = ccrs.PlateCarree()
panel.area = 'in'
panel.layers = ['states']
panel.plots = [obs]
# Bringing it all together
pc = PanelContainer()
pc.size = (12, 12)
pc.panels = [panel]
pc.draw()
return pc.figure
def test_declarative_sfc_text():
"""Test making a surface observation plot with text."""
data = pd.read_csv(get_test_data('SFC_obs.csv', as_file_obj=False),
infer_datetime_format=True, parse_dates=['valid'])
obs = PlotObs()
obs.data = data
obs.time = datetime(1993, 3, 12, 12)
obs.time_window = timedelta(minutes=15)
obs.level = None
obs.fields = ['station']
obs.colors = ['black']
obs.formats = ['text']
# Panel for plot with Map features
panel = MapPanel()
panel.layout = (1, 1, 1)
panel.projection = 'lcc'
panel.area = 'in'
panel.layers = ['states']
panel.plots = [obs]
# Bringing it all together
pc = PanelContainer()
pc.size = (10, 10)
pc.panels = [panel]
pc.draw()
return pc.figure
def test_declarative_sfc_obs_full(ccrs):
"""Test making a full surface observation plot."""
data = pd.read_csv(get_test_data('SFC_obs.csv', as_file_obj=False),
infer_datetime_format=True, parse_dates=['valid'])
obs = PlotObs()
obs.data = data
obs.time = datetime(1993, 3, 12, 13)
obs.time_window = timedelta(minutes=15)
obs.level = None
obs.fields = ['tmpf', 'dwpf', 'emsl', 'cloud_cover', 'wxsym']
obs.locations = ['NW', 'SW', 'NE', 'C', 'W']
obs.colors = ['red', 'green', 'black', 'black', 'blue']
obs.formats = [None, None, lambda v: format(10 * v, '.0f')[-3:], 'sky_cover',
'current_weather']
obs.vector_field = ('uwind', 'vwind')
obs.reduce_points = 1
# Panel for plot with Map features
panel = MapPanel()
panel.layout = (1, 1, 1)
panel.area = (-124, -72, 20, 53)
panel.area = 'il'
panel.projection = ccrs.PlateCarree()
panel.layers = ['coastline', 'borders', 'states']
panel.plots = [obs]
# Bringing it all together
pc = PanelContainer()
pc.size = (10, 10)
pc.panels = [panel]
pc.draw()
return pc.figure
