old_contents: """
  10-Bin OPC Response in Number and Volume Space
  ==============================================
  _thumb: .4, .4
  """
  import seaborn as sns
  import matplotlib.pyplot as plt
  import opcsim
  sns.set(style='ticks', font_scale=1.25)
  
  # Load the example urban distribution
  d = opcsim.load_distribution("Urban")
  
  # Build a 10-bin OPC
  opc = opcsim.OPC(wl=0.658, n_bins=10, dmin=0.3)
  
  # Set up the subplots
  fig, (ax1, ax2) = plt.subplots(2)
  
  # # Plot the histogram response
  ax1 = opcsim.plots.histplot(opc.histogram(d), bins=opc.bins, ax=ax1)
  
  # Overlay the distribution
  ax1 = opcsim.plots.pdfplot(d, ax=ax1)
  
  # # Repeat the above step but weight by volume
  ax2 = opcsim.plots.histplot(opc.histogram(d, weight='volume'), bins=opc.bins, ax=ax2)
  
  # Overlay the distribution
  ax2 = opcsim.plots.pdfplot(d, weight='volume', ax=ax2)
  
  # Remove axis labels
  ax1.set_xlabel("")
  
  # Remove the top and right spines
  sns.despine()
  
new_contents: """
  10-Bin OPC Response in Number and Volume Space
  ==============================================
  _thumb: .4, .4
  """
  import seaborn as sns
  import matplotlib.pyplot as plt
  import opcsim
  sns.set(style='ticks', font_scale=1.25)
  
  # Load the example urban distribution
  d = opcsim.load_distribution("Urban")
  
  # Build a 10-bin OPC
  opc = opcsim.OPC(wl=0.658, n_bins=10, dmin=0.3)
  
  # calibrate the OPC
  opc.calibrate("psl")
  
  # Set up the subplots
  fig, (ax1, ax2) = plt.subplots(2)
  
  # # Plot the histogram response
  ax1 = opcsim.plots.histplot(opc.histogram(d), bins=opc.bins, ax=ax1)
  
  # Overlay the distribution
  ax1 = opcsim.plots.pdfplot(d, ax=ax1)
  
  # # Repeat the above step but weight by volume
  ax2 = opcsim.plots.histplot(opc.histogram(d, weight='volume'), bins=opc.bins, ax=ax2)
  
  # Overlay the distribution
  ax2 = opcsim.plots.pdfplot(d, weight='volume', ax=ax2)
  
  # Remove axis labels
  ax1.set_xlabel("")
  
  # Remove the top and right spines
  sns.despine()
  
subject: fix issue with example