how to use pandas iloc

	data.iloc[0] # first row of data frame (Aleshia Tomkiewicz) - Note a Series data type output.
	data.iloc[1] # second row of data frame (Evan Zigomalas)
	data.iloc[-1] # last row of data frame (Mi Richan)
	# Columns:
	data.iloc[:,0] # first column of data frame (first_name)
	data.iloc[:,1] # second column of data frame (last_name)
	data.iloc[:,-1] # last column of data frame (id) Multiple columns and rows can be selected together using the .iloc indexer. data.iloc[0:5] # first five rows of dataframe data.iloc[:, 0:2] # first two columns of data frame with all rows data.iloc[[0,3,6,24], [0,5,6]] # 1st, 4th, 7th, 25th row + 1st 6th 7th columns. data.iloc[0:5, 5:8] # first 5 rows and 5th, 6th, 7th columns of data frame (county -> phone1).