Grouping and ordering columns in a Pandas dataframe

Question

I have a Pandas dataframe with many columns, one of which is "movie title", I want to find the top 5 movie titles that appear in the most rows, and place them in descending order.

For example:

movie title

Title 1
Title 2
Title 2
Title 3
Title 3
Title 3

Should become:

movie title     count

Title 3         3
Title 2         2
Title 1         1

It can be in the same or a new dataframe. I may be missing a simple solution as I'm extremely new to Pandas. Thanks for your help!

Answer 1

try

df.groupby('movie title')['movie title'].aggregate(['count']).reset_index().sort('count', ascending=False)

or step by step

df = df.groupby('movie title')['movie title'].aggregate(['count'])
df = df.reset_index()
df = df.sort('count', ascending=False)

the '[ ]' inside the aggregate are important