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_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_plotobs_units_with_formatter(ccrs):
"""Test using PlotObs with a field that both has units and a custom formatter."""
df = pd.read_csv(get_test_data('SFC_obs.csv', as_file_obj=False),
infer_datetime_format=True, parse_dates=['valid'])
df.units = {'alti': 'inHg'}
# Plot desired data
obs = PlotObs()
obs.data = df
obs.time = datetime(1993, 3, 12, 12)
obs.time_window = timedelta(minutes=15)
obs.level = None
obs.fields = ['alti']
obs.plot_units = ['hPa']
obs.locations = ['NE']
# Set a format for plotting MSLP
obs.formats = [lambda v: format(v * 10, '.0f')[-3:]]
obs.reduce_points = 0.75
# Panel for plot with Map features
panel = MapPanel()
panel.layout = (1, 1, 1)
panel.projection = 'lcc'
panel.area = 'in'
panel.plots = [obs]
# Bringing it all together
pc = PanelContainer()
pc.panels = [panel]
pc.size = (10, 10)
pc.draw()
return pc.figure
def test_attribute_error_station(ccrs):
"""Make sure we get a useful error when the station variable is not found."""
data = pd.read_csv(get_test_data('SFC_obs.csv', as_file_obj=False),
infer_datetime_format=True, parse_dates=['valid'])
data.rename(columns={'station': 'location'}, inplace=True)
obs = PlotObs()
obs.data = data
obs.time = datetime(1993, 3, 12, 12)
obs.level = None
obs.fields = ['tmpf']
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]
with pytest.raises(AttributeError):
pc.draw()
def test_declarative_upa_obs():
"""Test making a full upperair observation plot."""
data = pd.read_csv(get_test_data('UPA_obs.csv', as_file_obj=False))
obs = PlotObs()
obs.data = data
obs.time = datetime(1993, 3, 14, 0)
obs.level = 500 * units.hPa
obs.fields = ['temperature', 'dewpoint', 'height']
obs.locations = ['NW', 'SW', 'NE']
obs.formats = [None, None, lambda v: format(v, '.0f')[:3]]
obs.vector_field = ('u_wind', 'v_wind')
obs.vector_field_length = 7
obs.reduce_points = 0
# Panel for plot with Map features
panel = MapPanel()
panel.layout = (1, 1, 1)
panel.area = (-124, -72, 20, 53)
panel.projection = 'lcc'
panel.layers = ['coastline', 'borders', 'states', 'land']
panel.plots = [obs]
# Bringing it all together
pc = PanelContainer()
pc.size = (15, 10)
pc.panels = [panel]
pc.draw()
obs.level = 300 * units.hPa
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
def test_declarative_colored_barbs(ccrs):
"""Test making a surface plot with a colored barb (gh-1274)."""
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.level = None
obs.vector_field = ('uwind', 'vwind')
obs.vector_field_color = 'red'
obs.reduce_points = .5
# Panel for plot with Map features
panel = MapPanel()
panel.layout = (1, 1, 1)
panel.projection = ccrs.PlateCarree()
panel.area = 'NE'
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_contour_cam():
"""Test making a contour plot with CAM data."""
data = xr.open_dataset(get_test_data('CAM_test.nc', as_file_obj=False))
contour = ContourPlot()
contour.data = data
contour.field = 'PN'
contour.time = datetime.strptime('2020-11-29 00:00', '%Y-%m-%d %H:%M')
contour.level = 1000 * units.hPa
contour.linecolor = 'black'
contour.contours = list(range(0, 1200, 4))
panel = MapPanel()
panel.plots = [contour]
panel.layout = (1, 1, 1)
panel.layers = ['coastline', 'borders', 'states', 'land']
panel.plots = [contour]
pc = PanelContainer()
pc.panels = [panel]
pc.draw()
return pc.figure
