ozkan serttas oserttas-math

Using Git

	#import pandas and numpy
	import pandas as pd
	import numpy as np

	#create dataframe with some random data
	df = pd.DataFrame(np.random.rand(10, 2) * 10, columns=['Price', 'Qty'])

	#add a column with random string values that would need to have dummy variables created for them
	df['City'] = [np.random.choice(('Chicago', 'Boston', 'New York')) for i in range(df.shape[0])]

	# 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!