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Data Analysis Popularity

Anh Tran
Anh Tran
2,335 Points
Posted by Anh Tran
Anh Tran
2,335 Points

What is the most popular book of the 1960's?

I'm working on a challenge of the course Analyzing Books with Pandas. The question asks to write code to find out the most popular book of the 1960's in the data set. Below is my code:

the_1960 = books[books['publication_date'] >= pd.Timestamp(1960,1,1)]

the_1960 = books[books['publication_date'] < pd.Timestamp(1970,1,1)]

the_1960 = the_1960[the_1960['ratings_count'] > 1000]

the_1960.sort_values(by=['average_rating'], ascending=False)

The results include the years in the 1960's. But the issue is they also include those that shouldn't be there like 1953 and 1951. If I add [:1] to the last line, it returns a book published in 1957, which obviously is wrong. How do I fix this?

Please note that before that, I followed the tutorial and used the line below to convert the date into datetime64[ns]:

books['publication_date'] = pd.to_datetime(books['publication_date'])

1 Answer

Mel Rumsey
.a{fill-rule:evenodd;}techdegree seal-36
Mel Rumsey
Treehouse Moderator

Hey Anh Tran !

Take a look at the 2nd line. You are currently overriding the first line with all of the books that are less than 1970. I believe what you are wanting to do is access the publication date from the the_1960 dataframe that you had created in the first line rather than all of the books from the books dataframe. the_1960[the_1960['publication_date'] < pd.Timestamp(1970,1,1)]

the_1960 = books[books['publication_date'] >= pd.Timestamp(1960,1,1)]

the_1960 = books[books['publication_date'] < pd.Timestamp(1970,1,1)]    # <--  books should be the_1960

the_1960 = the_1960[the_1960['ratings_count'] > 1000]

the_1960.sort_values(by=['average_rating'], ascending=False)

Hope this helps! :)