old_contents: # Copyright (c) 2019 MetPy Developers.
  # Distributed under the terms of the BSD 3-Clause License.
  # SPDX-License-Identifier: BSD-3-Clause
  """
  =========================================
  Surface Analysis using Declarative Syntax
  =========================================
  
  The MetPy declarative syntax allows for a simplified interface to creating common
  meteorological analyses including surface observation plots.
  """
  
  ########################################
  from datetime import datetime
  
  import pandas as pd
  
  from metpy.cbook import get_test_data
  import metpy.plots as mpplots
  from metpy.units import units
  
  
  ########################################
  # **Getting the data**
  #
  # In this example, data is originally from the Iowa State Upper-air archive
  # (https://mesonet.agron.iastate.edu/archive/raob/) available through a Siphon method.
  # The data are pre-processed to attach latitude/lognitude locations for each RAOB site.
  
  data = pd.read_csv(get_test_data('UPA_obs.csv', as_file_obj=False))
  
  ########################################
  # **Plotting the data**
  #
  # Use the declarative plotting interface to create a CONUS upper-air map for 500 hPa
  
  # Plotting the Observations
  obs = mpplots.PlotObs()
  obs.data = data
  obs.time = datetime(1993, 3, 14, 0)
  obs.level = 500 * units.hPa
  obs.fields = ['temperature', 'dewpoint', 'height']
  obs.locations = ['NW', 'SW', 'NE']
  obs.formats = [None, None, lambda v: format(v, '.0f')[:3]]
  obs.vector_field = ('u_wind', 'v_wind')
  obs.reduce_points = 0
  
  # Add map features for the particular panel
  panel = mpplots.MapPanel()
  panel.layout = (1, 1, 1)
  panel.area = (-124, -72, 20, 53)
  panel.projection = 'lcc'
  panel.layers = ['coastline', 'borders', 'states', 'land', 'ocean']
  panel.plots = [obs]
  
  # Collecting panels for complete figure
  pc = mpplots.PanelContainer()
  pc.size = (15, 10)
  pc.panels = [panel]
  
  # Showing the results
  pc.show()
  
new_contents: # Copyright (c) 2019 MetPy Developers.
  # Distributed under the terms of the BSD 3-Clause License.
  # SPDX-License-Identifier: BSD-3-Clause
  """
  ===========================================
  Upper Air Analysis using Declarative Syntax
  ===========================================
  
  The MetPy declarative syntax allows for a simplified interface to creating common
  meteorological analyses including upper air observation plots.
  """
  
  ########################################
  from datetime import datetime
  
  import pandas as pd
  
  from metpy.cbook import get_test_data
  import metpy.plots as mpplots
  from metpy.units import units
  
  
  ########################################
  # **Getting the data**
  #
  # In this example, data is originally from the Iowa State Upper-air archive
  # (https://mesonet.agron.iastate.edu/archive/raob/) available through a Siphon method.
  # The data are pre-processed to attach latitude/longitude locations for each RAOB site.
  
  data = pd.read_csv(get_test_data('UPA_obs.csv', as_file_obj=False))
  
  ########################################
  # **Plotting the data**
  #
  # Use the declarative plotting interface to create a CONUS upper-air map for 500 hPa
  
  # Plotting the Observations
  obs = mpplots.PlotObs()
  obs.data = data
  obs.time = datetime(1993, 3, 14, 0)
  obs.level = 500 * units.hPa
  obs.fields = ['temperature', 'dewpoint', 'height']
  obs.locations = ['NW', 'SW', 'NE']
  obs.formats = [None, None, lambda v: format(v, '.0f')[:3]]
  obs.vector_field = ('u_wind', 'v_wind')
  obs.reduce_points = 0
  
  # Add map features for the particular panel
  panel = mpplots.MapPanel()
  panel.layout = (1, 1, 1)
  panel.area = (-124, -72, 20, 53)
  panel.projection = 'lcc'
  panel.layers = ['coastline', 'borders', 'states', 'land', 'ocean']
  panel.plots = [obs]
  
  # Collecting panels for complete figure
  pc = mpplots.PanelContainer()
  pc.size = (15, 10)
  pc.panels = [panel]
  
  # Showing the results
  pc.show()
  
subject: Fix copy paste in upper air declarative example