Skip to main content

logo


The Entire Transcript from the Office in Tidy Format

PyPI version Coverage Status PyUp Black Black

Also available in R: schrute package

schrute R package

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:

from schrutepy import schrutepy

df = schrutepy.load_schrute()

df.head(5)

Demo

View the full demo on the website: technistema

Contributors

Release files for schrutepy 0.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for schrutepy 0.1.3
File Size Uploaded
schrutepy-0.1.3.tar.gz 5.4 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for schrutepy 0.1.3
File Interpreter ABI Platform
schrutepy-0.1.3-py3.8.egg Legacy Egg format - - Details

Total release size: 5.4 MB

Release files / schrutepy-0.1.3.tar.gz

Download URL schrutepy-0.1.3.tar.gz
Size 5.4 MB
Tags Source
SHA-256 checksum
How to use checksums
377434f45676e488cf7e6d879757ac49c99bad322eda2021909ce83aab4216c3
BLAKE2b-256 checksum
How to use checksums
d86e5761edd3ef65d20781384a9c67adff86b8dddb24d4fecee78f513cc4df53
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.10

Release files / schrutepy-0.1.3-py3.8.egg

Download URL schrutepy-0.1.3-py3.8.egg
Size 3.5 kB
Tags Egg
SHA-256 checksum
How to use checksums
2158b336f37bdefae1b499bfb85e5d93787e24886e8793e66b3788f4ded912ee
BLAKE2b-256 checksum
How to use checksums
c5bc99bd70f7f12a196f77228cbe456317d228ae20f7bbbb3c9c9689d8694771
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.10

Release history Release notifications | RSS feed

This release

0.1.3 This release

2 release files

0.1.2

1 release file

0.1.1

2 release files

0.0.18

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page