semvec/pypi-packages huggingface dataset:
imgproc 0.0.2.1
Small python image processing package compatible with Tensorflow/Pytorch.
License: MIT
Keywords: image processing

# Image Processing Package
Small python image processing package.
## Install
This library can be installed via pip command:
```
$ pip install imgproc
```
Or install from source:
```
$ git clone https://github.com/hieupth/imgproc
$ cd imgproc
$ python setup.py install
```
## License
[MIT License](https://github.com/hieupth/imgproc/blob/main/LICENSE). <br>
Copyright (c) 2021, [Hieu Pham](https://github.com/hieupth). All rights reserved.
as-shinchan 1.0.0
A Python package to draw shinchan using turtle
License: MIT

# Usage of this Module

Create a new file with any name you want!!

then,

first import this as_shinchan module

then,

use below functions to draw shinchan

short() <br/>
legs()  <br/>
shirt() <br/>
head()  <br/>
hands() <br/>
mouth() <br/>
eyebrows()  <br/>
eyes()  <br/>
robo()  <br/>


### Sample Program
```
import as_shinchan as s
s.short()
s.legs()
s.shirt()
s.head()
s.hands()
s.mouth()
s.eyebrows()
s.eyes()
s.robo()
s.ht()
s.done()
```


## For more info:
https://www.youtube.com/channel/UCfthEj3oCLiFakXtSzhZ7Dw
nest2tree 1.5
A module for visualization of a nested python object as a data-tree
License: MIT
Requires Python: >=3.6

### A module for visualization of a nested python object as a data-tree
***

a nested python objects including list, tuple, dictionary, tensor, ndarray to data-tree, and make a quick peek out of its structure

```
data = a list of 10 lists of 3 dicts of 2 keys : list of 2 strings

ntt.nest2tree(data)

$ list of 10
$ └── list of 3
$     ├── dict of 2 : {'train': ['foo', 'bar'], 'test': ['abc', 'def']}
$     ├── dict of 2 : {'train': ['bar', 'foobar'], 'test': ['abc', 'def']}
$     └── dict of 2 : {'train': [123, 456], 'test': [789, 101112]}
```

### How to use
***
#### install
```
$ pip install nest2tree
```
#### import and quick_start
```python
import nest2tree as ntt

ntt.quick_start() # Copy & Paste console output to implement tutorial codes 
```
#### usage in detail
```python
import nest2tree as ntt

ntt.Dnode.max_print_of_contents = 200  # length of terminal node peeking
ntt.Dnode.tag_pool = list(range(int(1e5), -1, -1))  # node ids and tags are set from this pool
ntt.Dnode.print_tag = True

data_tree = ntt.nest2tree(ntt.example_data)  # make tree & show
data_tree.show()  # see node ids
ntt.get_data_scope(data_tree, 3)  # access to a data scope with a node id
```

### Note
Pandas Series, Dataframe type will be supported in a future version
barchart 0.1.4
The Unofficial API for barchart.com
License: MIT
Keywords: barchart,api,screener,barchart api,options,unusual options activity

# barchart
*The Unofficial API for barchart.com*

[![Build Status](https://travis-ci.org/tke578/barchart.svg?branch=master)](https://travis-ci.org/tke578/barchart)
[![PyPI version](https://badge.fury.io/py/barchart.svg)](https://badge.fury.io/py/barchart)
[![Python version](https://img.shields.io/badge/Python-3.8-blue.svg)](https://shields.io/)
[![Downloads](https://pepy.tech/badge/barchart)](https://pepy.tech/project/barchart)
[![HitCount](http://hits.dwyl.com/tke578/barchart.svg)](http://hits.dwyl.com/tke578/barchart)



Installation
-----


``` pip install barchart```


Unusual Options Activity
-----

````
from barchart import UOA

uoa = UOA()
uoa.data 

[
  {'Symbol': 'TGT', 'Price': '153.78', 'Type': 'Call', 'Strike': '160.00', 'Exp Date': '08/28/20', 'DTE': '9', 'Bid': '1.53', 'Midpoint': '1.55', 'Ask': '1.56', 'Last': '1.40', 'Volume': '7,382', 'Open Int': '165', 'Vol/OI': '44.74', 'IV': '38.08%', 'Delta': '50', 'Last Trade': '13:19 ET'},
]

#Create CSV file

uoa.to_csv()

#Options

uoa = UOA(timeout=100, user_agent='whatever user agent you want to use')


````
#### Concerns
The first time you ever run the render() method, it will download Chromium into your home directory (e.g. ~/.pyppeteer/). This only happens once.
Additional necessary [linux packages](https://github.com/miyakogi/pyppeteer/issues/60) may need to be installed.

You have the option to pass in your own user in `UOA(user_agent='Chrome...')`
Sometimes barchart will limit the amount of results based on what type of user agent you are using.


Timeout issues do sometimes occur when fetching  with `asycnc` since data is loaded onto the DOM asynchronous.
A Timeout Exception will be raised `barchart.helpers.errors.TimeoutError`
At the moment, it takes about 1 minute to fetch and parse 10-12 pages.

If a parsing exception is raised, look at the above exception which ouputs the html in text. If the html response looks correct and the exception is still
persisting, please create a issue ticket.
Parsing exceptions `barchart.helpers.errors.ParsingError: Parsing error: Index error on table headers, check html response above`

Sometimes barchart likes to suppress most of their data at different times of day.