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jamesbond

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About

jamesbond πŸ”«πŸΈπŸ‘™πŸ‡¬πŸ‡§ is a Python tabular data package that displays information/metrics about the James Bond films in a pandas dataframe. This package can be used for visualization and machine learning.

Getting started

You can install easily from PyPi

Installation

pip install jamesbond

Usage

Pull James Bond movie metrics into a pandas data frame using the load_jamesbond method:

from jamesbond import jamesbond

df = jamesbond.load_jamesbond()

df.head(10)

Data Dictonary

Column Dtype Description
Year int64 Release year of the movie.
Movie object The movie title.
Bond object Actor who played James Bond.
Director object Director of the movie.
Composer object Composer of the movie.
Writer object Writer of the movie.
Cinematographer object Cinematographer of the movie.
Depicted_Film_Loc object Depicted location(s) of the movie.
Shooting_Loc object Shooting location(s) of the move.
Bond_Car_MFG object The manufacturer of the bond car.
Bond_Girl_Nat object The nationality of the bond girl(s).
US_Gross int64 The films U.S gross earnings.
US_Adj int64 The films U.S gross earnings adjusted based on 2013.
World_Gross int64 The films worldwide gross earnings.
World_Adj int64 The films worldwide gross earnings adjusted based on 2013.
Budget int64 The films budget.
Budget_Adj int64 The films budget adjust based on 2013.
Film_Length int64 The length of the movie.
Avg_User_IMDB float64 The average user rating from IMDB.
Avg_User_Rtn_Tom float64 The average user rating from Rotten Tomatoes.
Conquests int64 The number of bond girls in the movie.
Martinis int64 The number of martinis Bond consumed in the movie.
BJB int64 The number of times bond stated "Bond, James Bond."
Kills_Bond int64 The number of people Bond killed.
Kills_Others int64 The number of people killed by someone other than bond.
Top_100 int64 A flag where 1 means the movie had Billboard/UK top 100 song, 0 means it didn't.
Video_Game int64 A flag where 1 means the movie was made into a video game, 0 means it didn't.

References

This package leverages and adds to Derek S. Young and his HoRM package

Derek S. Young (2017). Handbook of Regression Methods. CRC Press/Taylor & Francis Group. Boca Raton, FL.

jamesbond's People

Contributors

andrew-block avatar

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