jamesbond 0.0.15

James Bond tabular data package in Pandas dataframe

jamesbond

About

jamesbond 🔫🍸👙🇬🇧 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)

Content

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 represents the title song made Billboard/UK top 100 song, 0 mean it didn't.
Video_Game	int64	A flag where 1 represents the title 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.