old_contents: import numpy
  
  
  def import_climate_data(monthnr):
      ncols = 720
      nrows = 360
      digits = 5
  
      with open('./data/cloud/ccld6190.dat', 'r') as filein:
          lines = filein.readlines()
          line_n = 0
          grid_size = 0.50
          xmin = 0.25
          xmax = 360.25
          ymin = -89.75
          ymax = 90.25
  
          lonrange = numpy.arange(xmin, xmax, grid_size)
          latrange = numpy.arange(ymin, ymax, grid_size)
          Z = numpy.zeros((int(latrange.shape[0]), int(lonrange.shape[0])))
          print(len(lonrange))
          print(len(latrange))
  
          i = 0
          rown = 0
  
          for line in lines:
              line_n += 1
              if line_n < 3:  # skip header
                  continue
              if rown < (monthnr-1)*nrows or rown >= monthnr*nrows:  # read one month
                  rown += 1
                  continue
  
              value = ''
              counter = 1
              j = 0
              for char in line:
                  value += char
                  if counter % digits == 0:
                      value = float(value)
                      if value < 0:
                          value = numpy.nan
                      Z[i][j] = value
                      value = ''
                      j += 1
                  counter += 1
              i += 1
              rown += 1
  
      return latrange, lonrange, Z
new_contents: import numpy
  
  
  def import_climate_data(filepath, monthnr):
      ncols = 720
      nrows = 360
      digits = 5
  
      with open(filepath, 'r') as filein:
          lines = filein.readlines()
          line_n = 0
          grid_size = 0.50
          xmin = 0.25
          xmax = 360.25
          ymin = -89.75
          ymax = 90.25
  
          lonrange = numpy.arange(xmin, xmax, grid_size)
          latrange = numpy.arange(ymin, ymax, grid_size)
          Z = numpy.zeros((int(latrange.shape[0]), int(lonrange.shape[0])))
          print(len(lonrange))
          print(len(latrange))
  
          i = 0
          rown = 0
  
          for line in lines:
              line_n += 1
              if line_n < 3:  # skip header
                  continue
              if rown < (monthnr-1)*nrows or rown >= monthnr*nrows:  # read one month
                  rown += 1
                  continue
  
              value = ''
              counter = 1
              j = 0
              for char in line:
                  value += char
                  if counter % digits == 0:
                      value = float(value)
                      if value < 0:
                          value = numpy.nan
                      Z[i][j] = value
                      value = ''
                      j += 1
                  counter += 1
              i += 1
              rown += 1
  
      return latrange, lonrange, Z
subject: Make import data a function argument