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.
1 maintainer
Metadata
1 maintainer
Release files for jamesbond 0.0.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jamesbond-0.0.15.tar.gz | 2.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jamesbond-0.0.15-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.6 kB
Release files / jamesbond-0.0.15.tar.gz
| Download URL | jamesbond-0.0.15.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.7
|
Release files / jamesbond-0.0.15-py3-none-any.whl
| Download URL | jamesbond-0.0.15-py3-none-any.whl |
|---|---|
| Size | 3.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.7
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