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_copy():
"""Test that the copy method works for all classes in `declarative.py`."""
# Copies of plot objects
objects = [ImagePlot(), ContourPlot(), FilledContourPlot(), BarbPlot(), PlotObs(),
PlotGeometry()]
for obj in objects:
obj.time = datetime.now()
copied_obj = obj.copy()
assert obj is not copied_obj
assert obj.time == copied_obj.time
# Copies of MapPanel and PanelContainer
obj = MapPanel()
obj.title = 'Sample Text'
copied_obj = obj.copy()
assert obj is not copied_obj
assert obj.title == copied_obj.title
obj = PanelContainer()
obj.size = (10, 10)
copied_obj = obj.copy()
assert obj is not copied_obj
assert obj.size == copied_obj.size
# Copies of plots in MapPanels should not point to same location in memory
obj = MapPanel()
obj.plots = [PlotObs(), PlotGeometry(), BarbPlot(), FilledContourPlot(), ContourPlot(),
ImagePlot()]
copied_obj = obj.copy()
for i in range(len(obj.plots)):
assert obj.plots[i] is not copied_obj.plots[i]
def test_global():
"""Test that we can set global extent."""
data = xr.open_dataset(GiniFile(get_test_data('NHEM-MULTICOMP_1km_IR_20151208_2100.gini')))
img = ImagePlot()
img.data = data
img.field = 'IR'
panel = MapPanel()
panel.area = 'global'
panel.plots = [img]
pc = PanelContainer()
pc.panel = 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_image():
"""Test making an image plot."""
data = xr.open_dataset(GiniFile(get_test_data('NHEM-MULTICOMP_1km_IR_20151208_2100.gini')))
img = ImagePlot()
img.data = data.metpy.parse_cf('IR')
img.colormap = 'Greys_r'
panel = MapPanel()
panel.title = 'Test'
panel.plots = [img]
pc = PanelContainer()
pc.panel = panel
pc.draw()
assert panel.ax.get_title() == 'Test'
return pc.figure
def test_declarative_image():
"""Test making an image plot."""
data = xr.open_dataset(GiniFile(get_test_data('NHEM-MULTICOMP_1km_IR_20151208_2100.gini')))
img = ImagePlot()
img.data = data.metpy.parse_cf('IR')
img.colormap = 'Greys_r'
panel = MapPanel()
panel.title = 'Test'
panel.plots = [img]
pc = PanelContainer()
pc.panel = panel
pc.draw()
assert panel.ax.get_title() == 'Test'
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
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
"""
Simple Plotting
===============
Demonstrate the use of MetPy's simplified plotting interface.
Plots a sample satellite image file.
"""
import xarray as xr
from metpy.cbook import get_test_data
from metpy.io import GiniFile
from metpy.plots import ImagePlot, MapPanel, PanelContainer
data = xr.open_dataset(GiniFile(get_test_data('NHEM-MULTICOMP_1km_IR_20151208_2100.gini')))
img = ImagePlot()
img.data = data
img.field = 'IR'
img.colormap = 'Greys_r'
panel = MapPanel()
panel.plots = [img]
pc = PanelContainer()
pc.panels = [panel]
pc.show()
# 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()
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]
# SPDX-License-Identifier: BSD-3-Clause
"""
Simple Plotting
===============
Demonstrate the use of MetPy's simplified plotting interface.
Plots a sample satellite image file.
"""
import xarray as xr
from metpy.cbook import get_test_data
from metpy.io import GiniFile
from metpy.plots import ImagePlot, MapPanel, PanelContainer
data = xr.open_dataset(
GiniFile(get_test_data('NHEM-MULTICOMP_1km_IR_20151208_2100.gini')))
img = ImagePlot()
img.data = data
img.field = 'IR'
img.colormap = 'Greys_r'
panel = MapPanel()
panel.plots = [img]
pc = PanelContainer()
pc.panels = [panel]
pc.show()
# 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()
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)