<SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
 Combined Plotting
Demonstrate the use of MetPy's simplified plotting interface combining multiple plots.
Also shows how to control the maps that are plotted. Plots sample NARR data.
Step1:  Create a contour plot of temperature
Step2:  Create an image plot of Geopotential height
Step3:  Plot the data on a map
<ASSISTANT_TASK:>
Python Code:
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))
Explanation: Combined Plotting
Demonstrate the use of MetPy's simplified plotting interface combining multiple plots.
Also shows how to control the maps that are plotted. Plots sample NARR data.
End of explanation
contour = ContourPlot()
contour.data = narr
contour.field = 'Temperature'
contour.level = 850 * units.hPa
contour.linecolor = 'red'
contour.contours = 15
Explanation: Create a contour plot of temperature
End of explanation
img = ImagePlot()
img.data = narr
img.field = 'Geopotential_height'
img.level = 850 * units.hPa
Explanation: Create an image plot of Geopotential height
End of explanation
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()
Explanation: Plot the data on a map
End of explanation
<END_TASK>