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Apr 23rd, 2019
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  1. fp_temp = []
  2. fp_precip = []
  3. index_2 = 2
  4. while index_2 < 14:
  5. month_data = get_column_values(air_temp_data,index_2)
  6. fp = statistics.median_grouped(month_data)
  7. fp_temp.append(fp)
  8. index_2 += 1
  9. index_2 = 2
  10. while index_2 < 14:
  11. month_data = get_column_values(precip_data,index_2)
  12. fp = statistics.median_grouped(month_data)
  13. fp_precip.append(fp)
  14. index_2 += 1
  15.  
  16. index_3 = 0
  17. below_50_temp = []
  18. below_50_precip = []
  19. while index_3 < 0:
  20. data_month = get_located_between(air_temp_data, index_3)
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