def test_declarative_overlay_projections():
"""Test making a contour plot."""
data = xr.open_dataset(get_test_data('NAM_test.nc', as_file_obj=False))
data2 = xr.open_dataset(get_test_data('GFS_test.nc', as_file_obj=False))
contour = ContourPlot()
contour.data = data
contour.field = 'Geopotential_height_isobaric'
contour.level = 300 * units.hPa
contour.linecolor = 'red'
contour.linestyle = '-'
contour.linewidth = 2
contour.contours = np.arange(0, 20000, 120).tolist()
contour2 = ContourPlot()
contour2.data = data2
contour2.field = 'Geopotential_height_isobaric'
contour2.level = 300 * units.hPa
contour2.linecolor = 'blue'
contour2.linestyle = '-'
contour2.linewidth = 2
contour2.contours = np.arange(0, 20000, 120).tolist()
panel = MapPanel()
panel.area = (-124, -72, 20, 53)
panel.projection = 'lcc'
panel.layers = ['coastline', 'borders', 'usstates']
panel.plots = [contour, contour2]
pc = PanelContainer()
pc.size = (8, 8)
pc.panels = [panel]
pc.draw()
return pc.figure
def test_latlon():
"""Test our handling of lat/lon information."""
data = xr.open_dataset(get_test_data('irma_gfs_example.nc', as_file_obj=False))
img = ImagePlot()
img.data = data
img.field = 'Temperature_isobaric'
img.level = 500 * units.hPa
img.time = datetime(2017, 9, 5, 15, 0, 0)
contour = ContourPlot()
contour.data = data
contour.field = 'Geopotential_height_isobaric'
contour.level = img.level
contour.time = img.time
panel = MapPanel()
panel.projection = 'lcc'
panel.area = 'us'
panel.plots = [img, contour]
pc = PanelContainer()
pc.panel = panel
pc.draw()
return pc.figure
def test_declarative_smooth_field():
"""Test the smoothing of the field with smooth_field trait."""
data = xr.open_dataset(get_test_data('narr_example.nc', as_file_obj=False))
contour = ContourPlot()
contour.data = data
contour.field = 'Geopotential_height'
contour.level = 700 * units.hPa
contour.contours = list(range(0, 4000, 30))
contour.linewidth = 1
contour.linecolor = 'black'
contour.smooth_field = 3
panel = MapPanel()
panel.area = 'us'
panel.projection = 'lcc'
panel.layers = ['coastline', 'borders', 'usstates']
panel.plots = [contour]
pc = PanelContainer()
pc.size = (10.5, 10.5)
pc.panels = [panel]
pc.draw()
return pc.figure
def test_declarative_smooth_contour():
"""Test making a contour plot using smooth_contour."""
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'
contour.smooth_contour = 5
panel = MapPanel()
panel.area = 'us'
panel.projection = 'lcc'
panel.layers = ['coastline', 'borders', 'usstates']
panel.plots = [contour]
pc = PanelContainer()
pc.size = (8.0, 8)
pc.panels = [panel]
pc.draw()
return pc.figure
def test_latlon():
"""Test our handling of lat/lon information."""
data = xr.open_dataset(get_test_data('irma_gfs_example.nc', as_file_obj=False))
img = ImagePlot()
img.data = data
img.field = 'Temperature_isobaric'
img.level = 500 * units.hPa
img.time = datetime(2017, 9, 5, 15, 0, 0)
img.colorbar = None
contour = ContourPlot()
contour.data = data
contour.field = 'Geopotential_height_isobaric'
contour.level = img.level
contour.time = img.time
panel = MapPanel()
panel.projection = 'lcc'
panel.area = 'us'
panel.plots = [img, contour]
pc = PanelContainer()
pc.panel = panel
pc.draw()
return pc.figure
def test_declarative_barb_earth_relative():
"""Test making a contour plot."""
data = xr.open_dataset(get_test_data('NAM_test.nc', as_file_obj=False))
contour = ContourPlot()
contour.data = data
contour.field = 'Geopotential_height_isobaric'
contour.level = 300 * units.hPa
contour.linecolor = 'red'
contour.linestyle = '-'
contour.linewidth = 2
contour.contours = range(0, 20000, 120)
barb = BarbPlot()
barb.data = data
barb.level = 300 * units.hPa
barb.time = datetime(2016, 10, 31, 12)
barb.field = ['u-component_of_wind_isobaric', 'v-component_of_wind_isobaric']
barb.skip = (5, 5)
barb.color = 'black'
barb.barblength = 6.5
barb.earth_relative = False
panel = MapPanel()
panel.area = (-124, -72, 20, 53)
panel.projection = 'lcc'
panel.layers = ['coastline', 'borders', 'usstates']
panel.plots = [contour, barb]
pc = PanelContainer()
pc.size = (8, 8)
pc.panels = [panel]
pc.draw()
return pc.figure
def test_declarative_title_fontsize():
"""Test adjusting the font size of a MapPanel's title text."""
data = xr.open_dataset(get_test_data('NAM_test.nc', as_file_obj=False))
contour = ContourPlot()
contour.data = data
contour.field = 'Geopotential_height_isobaric'
contour.level = 300 * units.hPa
contour.linewidth = 2
contour.contours = list(range(0, 2000, 12))
contour.scale = 1e-1
panel = MapPanel()
panel.area = (-124, -72, 20, 53)
panel.projection = 'lcc'
panel.layers = ['coastline', 'borders', 'usstates']
panel.plots = [contour]
panel.title = '300 mb Geopotential Height'
panel.title_fontsize = 20
pc = PanelContainer()
pc.size = (8, 8)
pc.panels = [panel]
pc.draw()
return pc.figure
def test_declarative_contour_convert_units(fix_is_closed_polygon):
"""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'
contour.linestyle = 'dashed'
contour.clabels = True
contour.plot_units = 'degC'
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
def test_declarative_global_gfs():
"""Test making a global contour plot using GFS."""
data = xr.open_dataset(get_test_data('GFS_global.nc', as_file_obj=False))
cntr = ContourPlot()
cntr.data = data
cntr.time = datetime(2021, 1, 30, 12)
cntr.field = 'Geopotential_height_isobaric'
cntr.level = 300 * units.hPa
cntr.contours = np.arange(0, 100000, 120).tolist()
cntr.linecolor = 'darkblue'
cntr.linewidth = 1
panel = MapPanel()
panel.area = [-180, 180, 10, 90]
panel.projection = 'ps'
panel.layers = ['coastline']
panel.plots = [cntr]
pc = PanelContainer()
pc.size = (8, 8)
pc.panels = [panel]
pc.draw()
return pc.figure
def test_declarative_gridded_scale():
"""Test making a contour plot."""
data = xr.open_dataset(get_test_data('NAM_test.nc', as_file_obj=False))
contour = ContourPlot()
contour.data = data
contour.field = 'Geopotential_height_isobaric'
contour.level = 300 * units.hPa
contour.linewidth = 2
contour.contours = np.arange(0, 2000, 12).tolist()
contour.scale = 1e-1
contour.clabels = True
panel = MapPanel()
panel.area = (-124, -72, 20, 53)
panel.projection = 'lcc'
panel.layers = ['coastline', 'borders', 'usstates']
panel.plots = [contour]
pc = PanelContainer()
pc.size = (8, 8)
pc.panels = [panel]
pc.draw()
return pc.figure
def test_no_field_error():
"""Make sure we get a useful error when the field is not set."""
data = xr.open_dataset(get_test_data('narr_example.nc', as_file_obj=False))
contour = ContourPlot()
contour.data = data
contour.level = 700 * units.hPa
with pytest.raises(ValueError):
contour.draw()
def test_no_field_error():
"""Make sure we get a useful error when the field is not set."""
data = xr.open_dataset(get_test_data('narr_example.nc', as_file_obj=False))
contour = ContourPlot()
contour.data = data
contour.level = 700 * units.hPa
with pytest.raises(ValueError):
contour.draw()
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_projection_object(ccrs, cfeature):
"""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_ndim_error_scalar(cfeature):
"""Make sure we get a useful error when the field is not set."""
data = xr.open_dataset(get_test_data('narr_example.nc', as_file_obj=False))
contour = ContourPlot()
contour.data = data
contour.field = 'Temperature'
contour.level = None
panel = MapPanel()
panel.area = (-110, -60, 25, 55)
panel.projection = 'lcc'
panel.layers = [cfeature.LAKES]
panel.plots = [contour]
pc = PanelContainer()
pc.panel = panel
with pytest.raises(ValueError):
pc.draw()
def test_declarative_region_modifier_zoom_out():
"""Test that '-' suffix on area string properly expands extent of map."""
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
panel = MapPanel()
panel.area = 'sc-'
panel.layers = ['coastline', 'borders', 'usstates']
panel.plots = [contour]
pc = PanelContainer()
pc.size = (8.0, 8)
pc.panels = [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.projection = 'lcc'
panel.layers = ['coastline', 'borders', 'states']
panel.plots = [contour, img]
pc = PanelContainer()
pc.size = (8, 8.0)
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'
img.colorbar = 'horizontal'
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_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
def test_declarative_figsize():
"""Test having an all float figsize."""
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 = (10.5, 10.5)
pc.panels = [panel]
pc.draw()
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
Also shows how to control the maps that are plotted. Plots sample NARR data.
"""
import xarray as xr
from metpy.cbook import get_test_data
from metpy.plots import ContourPlot, ImagePlot, MapPanel, PanelContainer
from metpy.units import units
# Use sample NARR data for plotting
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
Also shows how to control the maps that are plotted. Plots sample NARR data.
"""
import xarray as xr
from metpy.cbook import get_test_data
from metpy.plots import ContourPlot, ImagePlot, MapPanel, PanelContainer
from metpy.units import units
# Use sample NARR data for plotting
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()
