old_contents: import os
  import pandas as pd
  
  _data_dir = os.path.join(os.path.dirname(__file__), '..', 'data')
  
  # Arabidopsis Data
  TRAIT_NAME = 'FLOSD'
  _marker_path = os.path.join(_data_dir, 'arabidopsis', 'genotypes.csv')
  markers = pd.DataFrame.from_csv(_marker_path, index_col=None, sep=',', header=None)
  _pheno_path = os.path.join(_data_dir, 'arabidopsis', 'phenotypes.csv')
  pheno = pd.DataFrame.from_csv(_pheno_path, index_col=None, sep=',')
  
  # Crossa Maize Data
  #TRAIT_NAME = 'ww_flm' # Female flowering time, well-watered environment.
  #_marker_path = os.path.join(_data_dir, 'crossa', 'maize', 'genotypes.csv')
  #markers = pd.DataFrame.from_csv(_marker_path, index_col=None, sep=',', header=None)
  #_pheno_path = os.path.join(_data_dir, 'crossa', 'maize', 'phenotypes.csv')
  #pheno = pd.DataFrame.from_csv(_pheno_path, index_col=None, sep=',')
  
  
new_contents: import os
  import pandas as pd
  
  _data_dir = os.path.join(os.path.dirname(__file__), '..', 'data')
  
  # Arabidopsis Data
  #TRAIT_NAME = 'FLOSD'
  #_marker_path = os.path.join(_data_dir, 'arabidopsis', 'genotypes.csv')
  #markers = pd.DataFrame.from_csv(_marker_path, index_col=None, sep=',', header=None)
  #_pheno_path = os.path.join(_data_dir, 'arabidopsis', 'phenotypes.csv')
  #pheno = pd.DataFrame.from_csv(_pheno_path, index_col=None, sep=',')
  
  # Crossa Maize Data
  TRAIT_NAME = 'ww_flm' # Female flowering time, well-watered environment.
  _marker_path = os.path.join(_data_dir, 'crossa', 'maize', 'genotypes.csv')
  markers = pd.DataFrame.from_csv(_marker_path, index_col=None, sep=',', header=None)
  _pheno_path = os.path.join(_data_dir, 'crossa', 'maize', 'phenotypes.csv')
  pheno = pd.DataFrame.from_csv(_pheno_path, index_col=None, sep=',')
  
  
subject: Switch to next dataset