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pytest==6.1.1 | ||
pip==20.2.3 | ||
wheel==0.35.1 | ||
twine==3.2.0 | ||
black==20.8b1 | ||
pytest-cov==2.10.1 | ||
coveralls==2.1.2 | ||
pytest==6.2.5 | ||
pip==21.1.3 | ||
wheel==0.37.1 | ||
twine==3.7.1 | ||
black==21.12b0 | ||
pytest-cov==3.0.0 | ||
coveralls==3.3.1 | ||
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Metadata-Version: 2.1 | ||
Name: schrutepy | ||
Version: 0.1.2 | ||
Version: 0.1.3 | ||
Summary: The Entire Transcripts from the Office in Tidy Format | ||
Home-page: https://github.com/bradlindblad/schrutepy | ||
Author: Brad Lindblad | ||
Author-email: bradley.lindblad@gmail.com | ||
License: UNKNOWN | ||
Description: | ||
![logo](https://github.com/bradlindblad/schrutepy/blob/master/static/logo.png?raw=true) | ||
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-------------- | ||
# The Entire Transcript from the Office in Tidy Format | ||
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<p align='center'><a href="https://badge.fury.io/py/schrutepy"><img src="https://badge.fury.io/py/schrutepy.svg" alt="PyPI version" height="18"></a> <a href="https://travis-ci.org/bradlindblad/schrutepy.svg?branch=master" alt="Travis Build Status"><img src="https://travis-ci.org/bradlindblad/schrutepy.svg?branch=master" /></a> <a href='https://coveralls.io/github/bradlindblad/schrutepy?branch=master'><img src='https://coveralls.io/repos/github/bradlindblad/schrutepy/badge.svg?branch=master' alt='Coverage Status' /></a> <a href='https://pyup.io/repos/github/bradlindblad/schrutepy'><img src='https://pyup.io/repos/github/bradlindblad/schrutepy/shield.svg' alt='PyUp' /></a> <a href='https://github.com/psf/black'><img src='https://camo.githubusercontent.com/28a51fe3a2c05048d8ca8ecd039d6b1619037326/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f636f64652532307374796c652d626c61636b2d3030303030302e737667' alt='Black' /></a> <a href='https://img.shields.io/github/stars/bradlindblad/schrutepy?style=social&label=Star&maxAge=2592000'><img src='https://img.shields.io/github/stars/bradlindblad/schrutepy?style=social&label=Star&maxAge=2592000' alt='Black' /></a> | ||
</p> | ||
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### Also available in R: [schrute package](https://bradlindblad.github.io/schrute/) | ||
<a href="https://bradlindblad.github.io/schrute/"><img src="https://raw.githubusercontent.com/bradlindblad/schrute/master/man/figures/logo.png" alt="schrute R package" height= "200"></a> | ||
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# What is it | ||
The entire text transcripts from the American version of The Office TV show in pandas dataframe. Use this package to practice or learn NLP, text analysis or deep learning. | ||
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# Getting started | ||
You can install easily from PyPi | ||
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## Install | ||
``` | ||
pip install schrutepy | ||
``` | ||
## Usage | ||
Pull the transcripts into a data frame with this library's only method: | ||
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``` | ||
from schrutepy import schrutepy | ||
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df = schrutepy.load_schrute() | ||
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df.head(5) | ||
``` | ||
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## Demo | ||
View the full demo on the [website: technistema](https://technistema.com/posts/python-text-analysis-with-the-schrutepy-package/) | ||
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# Contributors | ||
- [Lucas Greybuck](https://github.com/hypercompetent) | ||
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Platform: UNKNOWN | ||
Classifier: Programming Language :: Python :: 3.6 | ||
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3) | ||
Description-Content-Type: text/markdown | ||
License-File: LICENSE | ||
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![logo](https://github.com/bradlindblad/schrutepy/blob/master/static/logo.png?raw=true) | ||
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-------------- | ||
# The Entire Transcript from the Office in Tidy Format | ||
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<p align='center'><a href="https://badge.fury.io/py/schrutepy"><img src="https://badge.fury.io/py/schrutepy.svg" alt="PyPI version" height="18"></a> <a href="https://travis-ci.org/bradlindblad/schrutepy.svg?branch=master" alt="Travis Build Status"><img src="https://travis-ci.org/bradlindblad/schrutepy.svg?branch=master" /></a> <a href='https://coveralls.io/github/bradlindblad/schrutepy?branch=master'><img src='https://coveralls.io/repos/github/bradlindblad/schrutepy/badge.svg?branch=master' alt='Coverage Status' /></a> <a href='https://pyup.io/repos/github/bradlindblad/schrutepy'><img src='https://pyup.io/repos/github/bradlindblad/schrutepy/shield.svg' alt='PyUp' /></a> <a href='https://github.com/psf/black'><img src='https://camo.githubusercontent.com/28a51fe3a2c05048d8ca8ecd039d6b1619037326/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f636f64652532307374796c652d626c61636b2d3030303030302e737667' alt='Black' /></a> <a href='https://img.shields.io/github/stars/bradlindblad/schrutepy?style=social&label=Star&maxAge=2592000'><img src='https://img.shields.io/github/stars/bradlindblad/schrutepy?style=social&label=Star&maxAge=2592000' alt='Black' /></a> | ||
</p> | ||
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### Also available in R: [schrute package](https://bradlindblad.github.io/schrute/) | ||
<a href="https://bradlindblad.github.io/schrute/"><img src="https://raw.githubusercontent.com/bradlindblad/schrute/master/man/figures/logo.png" alt="schrute R package" height= "200"></a> | ||
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||
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||
# What is it | ||
The entire text transcripts from the American version of The Office TV show in pandas dataframe. Use this package to practice or learn NLP, text analysis or deep learning. | ||
|
||
# Getting started | ||
You can install easily from PyPi | ||
|
||
|
||
## Install | ||
``` | ||
pip install schrutepy | ||
``` | ||
## Usage | ||
Pull the transcripts into a data frame with this library's only method: | ||
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||
``` | ||
from schrutepy import schrutepy | ||
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||
df = schrutepy.load_schrute() | ||
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df.head(5) | ||
``` | ||
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||
## Demo | ||
View the full demo on the [website: technistema](https://technistema.com/posts/python-text-analysis-with-the-schrutepy-package/) | ||
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||
# Contributors | ||
- [Lucas Greybuck](https://github.com/hypercompetent) | ||
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.coverage | ||
.travis.yml | ||
LICENSE | ||
README.md | ||
README.pdf | ||
requirements.txt | ||
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ipython>=6 | ||
pandas | ||
pip | ||
twine>=3 | ||
wheel | ||
pip | ||
pandas |
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