semvec/pypi-packages huggingface dataset:
ptxt 0.2
Pacakage for text mining
Keywords: textmining

Keywords based text mining library.\n\n

neighbourhood_words function: extract the keyword along with left and right neghbouthood words.\n
left_texts function: extract the left part of the keyword in a given sentence.\n
right_texts function: extract the right part of the keyword in a given sentence.\n
keyword_position function: extract the all matched keyword's start and end positions.\n
neighbourhood_chr function: extract the keyword's along with left and right neghbouthood charecters.\n
dataframe_keyword_remover function: remove the keyword from the dataframe. Non alphanumeric charecters need to be write using '\'. \n
text_keyword_remover function: remove the keyword along with nonalphanumerics from a long text. \n


Change Log
==========


0.0.1 (20/01/2022)
------------------
- First Release \n

0.0.2 (24/01/2022)
------------------
- Second Release
schrutepy 0.1.3
The Entire Transcripts from the Office in Tidy Format


![logo](https://github.com/bradlindblad/schrutepy/blob/master/static/logo.png?raw=true)

--------------
# The Entire Transcript from the Office in Tidy Format


<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>

### 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>



# 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](https://technistema.com/posts/python-text-analysis-with-the-schrutepy-package/)

# Contributors
- [Lucas Greybuck](https://github.com/hypercompetent)
kora-quickdraw 0.0.2
Quick graph simple matplotlib
Requires Python: >=3.6

# kora_quickdraw
Matplotlib simple graph template

# Install
`pip install kora_quickdraw`

# Usage
There two commands
- defining figure and axes
- showing graph

```
fig, ax1, ax2 = start_plot2()
...
show_plot2(1, fig, ax1, ax2)
```
# Full example
In example directory

```
from kora_quickdraw import *
import numpy as np

x = np.linspace(-np.pi , np.pi)
y1 = np.sin(x)
y2 = np.cos(x)

fig, ax1, ax2 = start_plot2()
ax1.plot(x,y1)
ax1.plot(x,y2)
ax2.plot(x, y1*y2)
show_plot2(1, fig, ax1, ax2, t1="sin(x) and cos(x)", t2="sin(x) x cos(x)", y2='y')
```
kora-quickgraph 0.0.1
Quick graph simple matplotlib
Requires Python: >=3.6

# kora_quickgraph
Matplotlib simple graph template

# Install
`pip install kora_quickgraph`

# Usage
There two commands
- defining figure and axes
- showing graph

```
fig, ax1, ax2 = start_plot2()
...
show_plot2(1, fig, ax1, ax2)
```
# Full example
In example directory

```
from kora_quickdraw import *
import numpy as np

x = np.linspace(-np.pi , np.pi)
y1 = np.sin(x)
y2 = np.cos(x)

fig, ax1, ax2 = start_plot2()
ax1.plot(x,y1)
ax1.plot(x,y2)
ax2.plot(x, y1*y2)
show_plot2(1, fig, ax1, ax2, t1="sin(x) and cos(x)", t2="sin(x) x cos(x)", y2='y')
```