Branch-AI/piscine/week01/day04/ex02/README.md

Exercise 2 Merge

The goal of this exercise is to learn to merge DataFrames The logic of merging DataFrames in Pandas is quite similar as the one used in SQL.

Here are the two DataFrames to merge:

#df1

df1_dict = {
        'id': ['1', '2', '3', '4', '5'],
        'Feature1': ['A', 'C', 'E', 'G', 'I'],
        'Feature2': ['B', 'D', 'F', 'H', 'J']}

df1 = pd.DataFrame(df1_dict, columns = ['id', 'Feature1', 'Feature2'])

#df2
df2_dict = {
        'id': ['1', '2', '6', '7', '8'],
        'Feature1': ['K', 'M', 'O', 'Q', 'S'],
        'Feature2': ['L', 'N', 'P', 'R', 'T']}

df2 = pd.DataFrame(df2_dict, columns = ['id', 'Feature1', 'Feature2'])

1. Merge the two DataFrames to get this output:

   	id	Feature1_x	Feature2_x	Feature1_y	Feature2_y
   0	1	A	B	K	L
   1	2	C	D	M	N

2. Merge the two DataFrames to get this output:

   	id	Feature1_df1	Feature2_df1	Feature1_df2	Feature2_df2
   0	1	A	B	K	L
   1	2	C	D	M	N
   2	3	E	F	nan	nan
   3	4	G	H	nan	nan
   4	5	I	J	nan	nan
   5	6	nan	nan	O	P
   6	7	nan	nan	Q	R
   7	8	nan	nan	S	T