nishitpatel01

Asset,Type,Asset Value,Debt,Net Value,Change vs 2015,Change,Stake,Latitude,Longitude,Notes
Trump Tower (New York City),Office and retail,471,100,371,-159,Down,1,40.768277,-73.981455,Opened 1983
1290 Avenue of the Americas (New York City),Office and retail,2310,950,408,-62,Down,0.3,40.768277,-73.981455,
Niketown (New York City),Office and retail,400,10,390,-52,Down,1,40.768277,-73.981455,Ground lease through 2079
40 Wall Street (New York City),Office and retail,501,156,345,-28,Down,1,40.768277,-73.981455,
Trump Park Avenue (New York City),Residential and retail,191,14.3,176.7,-27,Down,1,40.768277,-73.981455,"49,564 sq. ft. of condos; 27,467 sq. ft. of retail"
Trump Parc/Trump Parc East (New York City),Residential and retail,88,0,88,17,Up,1,40.768277,-73.981455,"11,750 sq. ft. of condos; 14,963 sq. feet of retail; 13,108 sq. ft. of garage"
"Trump International Hotel and Tower, Central Park West (New York City)","Hotel, condos and retail",38,0,38,21,Up,1,40.768277,-73.981455,
"Trump World Tower, 845 United Natio

nishitpatel01

# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!