'''
Combining columns of data

Think of column-wise concatenation of data as stitching data together from the sides
instead of the top and bottom. To perform this action, you use the same pd.concat() 
function, but this time with the keyword argument axis=1. The default, axis=0, is 
for a row-wise concatenation.

You'll return to the Ebola dataset you worked with briefly in the last chapter. It 
has been pre-loaded into a DataFrame called ebola_melt. In this DataFrame, the 
status and country of a patient is contained in a single column. This column has 
been parsed into a new DataFrame, status_country, where there are separate columns 
for status and country.

Explore the ebola_melt and status_country DataFrames in the IPython Shell. Your job 
is to concatenate them column-wise in order to obtain a final, clean DataFrame.

INSTRUCTIONS
100 XP
Concatenate ebola_melt and status_country column-wise into a single DataFrame called
ebola_tidy. Be sure to specify axis=1 and to pass the two DataFrames in as a list.
Print the shape and then the head of the concatenated DataFrame, ebola_tidy.
'''
