old_contents: import tempfile
  import numpy as np
  from matplotlib.figure import Figure
  from matplotlib.backends.backend_agg import FigureCanvasAgg
  from metpy.plots.skewt import *  # noqa
  
  
  # TODO: Need at some point to do image-based comparison, but that's a lot to
  # bite off right now
  class TestSkewT(object):
      def test_api(self):
          'Test the SkewT api'
          fig = Figure(figsize=(9, 9))
          skew = SkewT(fig)
  
          # Plot the data using normal plotting functions, in this case using
          # log scaling in Y, as dictated by the typical meteorological plot
          p = np.linspace(1000, 100, 10)
          t = np.linspace(20, -20, 10)
          u = np.linspace(-10, 10, 10)
          skew.plot(p, t, 'r')
          skew.plot_barbs(p, u, u)
  
          # Add the relevant special lines
          skew.plot_dry_adiabats()
          skew.plot_moist_adiabats()
          skew.plot_mixing_lines()
  
          with tempfile.NamedTemporaryFile() as f:
              FigureCanvasAgg(fig).print_png(f.name)
  
      def test_no_figure(self):
          'Test the SkewT api'
          skew = SkewT()
          with tempfile.NamedTemporaryFile() as f:
              FigureCanvasAgg(skew.ax.figure).print_png(f.name)
  
new_contents: import tempfile
  import numpy as np
  from matplotlib.figure import Figure
  from matplotlib.backends.backend_agg import FigureCanvasAgg
  from metpy.plots.skewt import *  # noqa
  
  
  # TODO: Need at some point to do image-based comparison, but that's a lot to
  # bite off right now
  class TestSkewT(object):
      def test_api(self):
          'Test the SkewT api'
          fig = Figure(figsize=(9, 9))
          skew = SkewT(fig)
  
          # Plot the data using normal plotting functions, in this case using
          # log scaling in Y, as dictated by the typical meteorological plot
          p = np.linspace(1000, 100, 10)
          t = np.linspace(20, -20, 10)
          u = np.linspace(-10, 10, 10)
          skew.plot(p, t, 'r')
          skew.plot_barbs(p, u, u)
  
          # Add the relevant special lines
          skew.plot_dry_adiabats()
          skew.plot_moist_adiabats()
          skew.plot_mixing_lines()
  
          with tempfile.NamedTemporaryFile() as f:
              FigureCanvasAgg(fig).print_png(f.name)
  
subject: Remove test for not passing figure.