Split and explode a string with different amount of arrays of a pandas dataframe to separate rows

Question

I try to split a column of text strings which contains comma-separated values (Genres by Song). For further analysis I need every value of the string in a new row. I am new to python. Managed to import the excel in a pandas dataframe. Couldn't find an example of my problem on stack.

df:

Song Title	Genres	Length
Song1	HipHop, Rap	3:30
Song2	Rock, Metal,Hard Rock	2:55
Song3	Jazz	4:00

What I try to achieve:

Song Title	Genres	Length
Song1	HipHop	3:30
Song1	Rap	3:30
Song2	Rock	2:55
Song2	Metal	2:55
Song2	Hard Rock	2:55
Song3	Jazz	4:00

Answer 1

Perfect job for explode :

df["Genres"] = df["Genres"].apply(lambda g: g.split(","))
df = df.explode("Genres")

# To avoid surprise down the road, remove
# leading and trailing spaces with strip
df["Genres"] = df["Genres"].str.strip()