def test_projection_object():
"""Test that we can pass a custom map projection."""
data = xr.open_dataset(get_test_data('narr_example.nc', as_file_obj=False))
contour = ContourPlot()
contour.data = data
contour.level = 700 * units.hPa
contour.field = 'Temperature'
panel = MapPanel()
panel.area = (-110, -60, 25, 55)
panel.projection = ccrs.Mercator()
panel.layers = [cfeature.LAKES]
panel.plots = [contour]
pc = PanelContainer()
pc.panel = panel
pc.draw()
return pc.figure
def test_declarative_events():
"""Test that resetting traitlets properly propagates."""
data = xr.open_dataset(get_test_data('narr_example.nc', as_file_obj=False))
contour = ContourPlot()
contour.data = data
contour.field = 'Temperature'
contour.level = 850 * units.hPa
contour.contours = 30
contour.linewidth = 1
contour.linecolor = 'red'
img = ImagePlot()
img.data = data
img.field = 'v_wind'
img.level = 700 * units.hPa
img.colormap = 'hot'
img.image_range = (3000, 5000)
panel = MapPanel()
panel.area = 'us'
panel.proj = 'lcc'
panel.layers = ['coastline', 'borders', 'states']
panel.plots = [contour, img]
pc = PanelContainer()
pc.size = (8, 8)
pc.panels = [panel]
pc.draw()
# Update some properties to make sure it regenerates the figure
contour.linewidth = 2
contour.linecolor = 'green'
contour.level = 700 * units.hPa
contour.field = 'Specific_humidity'
img.field = 'Geopotential_height'
img.colormap = 'plasma'
return pc.figure
def test_declarative_contour():
"""Test making a contour plot."""
data = xr.open_dataset(get_test_data('narr_example.nc', as_file_obj=False))
contour = ContourPlot()
contour.data = data
contour.field = 'Temperature'
contour.level = 700 * units.hPa
contour.contours = 30
contour.linewidth = 1
contour.linecolor = 'red'
panel = MapPanel()
panel.area = 'us'
panel.proj = 'lcc'
panel.layers = ['coastline', 'borders', 'usstates']
panel.plots = [contour]
pc = PanelContainer()
pc.size = (8, 8)
pc.panels = [panel]
pc.draw()
return pc.figure
get_test_data('spc_day1otlk_20210317_1200_lyr.geojson'))
###########################
# Preview the data.
day1_outlook
###########################
# Plot the shapes from the 'geometry' column. Give the shapes their fill and stroke color by
# providing the 'fill' and 'stroke' columns. Use text from the 'LABEL' column as labels for the
# shapes.
geo = PlotGeometry()
geo.geometry = day1_outlook['geometry']
geo.fill = day1_outlook['fill']
geo.stroke = day1_outlook['stroke']
geo.labels = day1_outlook['LABEL']
geo.label_fontsize = 'large'
###########################
# Add the geometry plot to a panel and container.
panel = MapPanel()
panel.title = 'SPC Day 1 Convective Outlook (Valid 12z Mar 17 2021)'
panel.plots = [geo]
panel.area = [-120, -75, 25, 50]
panel.projection = 'lcc'
panel.layers = ['lakes', 'land', 'ocean', 'states', 'coastline', 'borders']
pc = PanelContainer()
pc.size = (12, 8)
pc.panels = [panel]
pc.show()
narr = xr.open_dataset(get_test_data('narr_example.nc', as_file_obj=False))
###########################
# Create a contour plot of temperature
contour = ContourPlot()
contour.data = narr
contour.field = 'Temperature'
contour.level = 850 * units.hPa
contour.linecolor = 'red'
contour.contours = 15
###########################
# Create an image plot of Geopotential height
img = ImagePlot()
img.data = narr
img.field = 'Geopotential_height'
img.level = 850 * units.hPa
###########################
# Plot the data on a map
panel = MapPanel()
panel.area = 'us'
panel.layers = ['coastline', 'borders', 'states', 'rivers', 'ocean', 'land']
panel.title = 'NARR Example'
panel.plots = [contour, img]
pc = PanelContainer()
pc.size = (10, 8)
pc.panels = [panel]
pc.show()
########################### # Create a contour plot of temperature contour = ContourPlot() contour.data = narr contour.field = 'Temperature' contour.level = 850 * units.hPa contour.linecolor = 'red' contour.contours = 15 ########################### # Create an image plot of Geopotential height img = ImagePlot() img.data = narr img.field = 'Geopotential_height' img.level = 850 * units.hPa ########################### # Plot the data on a map panel = MapPanel() panel.area = 'us' panel.layers = ['coastline', 'borders', 'states', 'rivers', 'ocean', 'land'] panel.title = 'NARR Example' panel.plots = [contour, img] pc = PanelContainer() pc.size = (10, 8) pc.panels = [panel] pc.show()
def test_declarative_plot_geometry_polygons():
"""Test that `PlotGeometry` correctly plots MultiPolygon and Polygon objects."""
from shapely.geometry import MultiPolygon, Polygon
# MultiPolygons and Polygons to plot
slgt_risk_polygon = MultiPolygon([
Polygon([
(-87.43, 41.86),
(-91.13, 41.39),
(-95.24, 40.99),
(-97.47, 40.4),
(-98.39, 41.38),
(-96.54, 42.44),
(-94.02, 44.48),
(-92.62, 45.48),
(-89.49, 45.91),
(-86.38, 44.92),
(-86.26, 43.37),
(-86.62, 42.45),
(-87.43, 41.86),
]),
Polygon([
(-74.02, 42.8),
(-72.01, 43.08),
(-71.42, 42.77),
(-71.76, 42.29),
(-72.73, 41.89),
(-73.89, 41.93),
(-74.4, 42.28),
(-74.02, 42.8),
])
])
enh_risk_polygon = Polygon([(-87.42, 43.67), (-88.44, 42.65),
(-90.87, 41.92), (-94.63, 41.84),
(-95.13, 42.22), (-95.23, 42.54),
(-94.79, 43.3), (-92.81, 43.99),
(-90.62, 44.55), (-88.51, 44.61),
(-87.42, 43.67)])
# Plot geometry, set colors and labels
geo = PlotGeometry()
geo.geometry = [slgt_risk_polygon, enh_risk_polygon]
geo.stroke = ['#DDAA00', '#FF6600']
geo.fill = None
geo.labels = ['SLGT', 'ENH']
geo.label_facecolor = ['#FFE066', '#FFA366']
geo.label_edgecolor = ['#DDAA00', '#FF6600']
geo.label_fontsize = 'large'
# Place plot in a panel and container
panel = MapPanel()
panel.area = [-125, -70, 20, 55]
panel.projection = 'lcc'
panel.title = ' '
panel.layers = ['coastline', 'borders', 'usstates']
panel.plots = [geo]
pc = PanelContainer()
pc.size = (12, 12)
pc.panels = [panel]
pc.draw()
return pc.figure