old_contents: ########################################################################
  # Date: 2016/July/11
  #
  # Module: module_distribution.py
  # 
  # Version: 0.9
  #
  # Author: Matt Thoburn (mthoburn@ufl.edu)
  #
  # Description: This module contains a method to plot a 
  #                  kernel density estimate function
  ########################################################################
  import pandas as pd
  
  
  def plotDensityDF(data,ax,colors,lb=""):
      """
      Plots a density plot from a dataframe
  
      :Arguments:
          :type data: pandas dataframe
          :param data: data to be plotted
  
          :type ax: matplotlib axis
          :param ax: axis to be drawn on
  
          :type colors: list of colors
          :param colors: colors to be used in differentiating plots 
  
          :type lb: string
          :param lb: optional label for legend
      """
      #Plot density plot
      data.plot(kind="density",ax=ax,legend=False,color=colors,label=lb,grid=False)
  
      #Adjust xlim if not negative values
      xmin, xmax = ax.get_xlim()
      if xmin <= 0:
          ax.set_xlim(0, xmax)
   
new_contents: ########################################################################
  #
  # Module: module_distribution.py
  #
  # Author: Matt Thoburn <mthoburn@ufl.edu>
  #
  # Description: This module contains a method to plot a
  #                  kernel density estimate function
  ########################################################################
  
  import pandas as pd
  
  
  def plotDensityDF(data, ax, colors, lb=""):
      """
      Plots a density plot from a dataframe
  
      :Arguments:
          :type data: pandas dataframe
          :param data: data to be plotted
  
          :type ax: matplotlib axis
          :param ax: axis to be drawn on
  
          :type colors: list of colors
          :param colors: colors to be used in differentiating plots
  
          :type lb: string
          :param lb: optional label for legend
      """
      data.plot(kind="density", ax=ax, legend=False, color=colors, label=lb, grid=False)
  
      # Adjust xlim if values are not negative
      xmin, xmax = ax.get_xlim()
      if xmin <= 0:
          ax.set_xlim(0, xmax)
  
subject: Reformat visualManager/module_distribution.py