Index(['borough', 'neighborhood', 'building_class_category', 'tax_class_at_present', 'block', 'lot', 'ease_ment', 'building_class_at_present', 'address', 'apart_ment_number', 'zip_code', 'residential_units', 'commercial_units', 'total_units', 'land_square_feet', 'gross_square_feet', 'year_built', 'tax_class_at_time_of_sale', 'building_class_at_time_of_sale', 'sale_price', 'sale_date'], dtype='object')

Convert the field sale_price to numeric (it is currently formatted as currency which cannot be used in calculations.) (Hint, you will need to remove the commas and dollar signs.

using Pandas