semvec/pypi-packages huggingface dataset:
pi-touch-pi-touch-gui 0.1.0
A graphic UI optimized for touch screens
Requires Python: >=3.6

Pi Touch GUI is a touchscreen GUI for the Raspberry PI.  It is inspired and
founded on work from the offical Raspberry Pi touchscreen, and by the
Star Trek-inspired LCARS UI by Toby Kurian.

See also:

https://github.com/pimoroni/python-multitouch/blob/master/library/setup.py
https://github.com/tobykurien/rpi_lcars
cs2tc 0.1.1
Helper functions for converting Compute Studio parameters to a format compatible with Tax-Calculator.

# cs2tc

Helper functions for converting Compute Studio parameters to a format compatible with Tax-Calculator.

```
pip install -U cs2tc
```

```python
import cs2tc

adj = {
    "STD": [
        {"MARS": "single", "year": 2019, "value": 10},
        {"MARS": "mjoint", "year": 2019, "value": 1},
        {"MARS": "mjoint", "year": 2022, "value": 10}
    ],
    "STD_checkbox": [{"value": False}]
}

cs2tc.convert_policy_adjustment(adj)

# {'STD': [{'MARS': 'single', 'year': 2019, 'value': 10},
#   {'MARS': 'mjoint', 'year': 2019, 'value': 1},
#   {'MARS': 'mjoint', 'year': 2022, 'value': 10}],
#  'STD-indexed': [{'value': False}]}

```
pycorr 0.1.5
Python package for calculating correlation amongst categorical variables

# PyCorr
A simple library to calculate correlation between variables. Currently provides correlation between nominal variables.

Based on statistical methodology like Cramer'V and Tschuprow'T allows to gauge the correlation between categorical variables. Ability to plot the correlation in form of heatmap is also provided.

## Usage example
```
import pandas as pd
from pycorrcat.pycorrcat import plot_corr, corr_matrix

df = pd.DataFrame([('a', 'b'), ('a', 'd'), ('c', 'b'), ('e', 'd')],
                  columns=['dogs', 'cats'])

correlation_matrix = corr_matrix(data, ['dogs', 'cats'])
plot_corr(df, ['dogs','cats'] )
```

## Development setup
Create a virtualenv and install dependencies:
- `pip install -r requirements.dev.txt`
- `pip install -r requirements.txt`
Then install the pre-commit hooks: `pre-commit install` and continue with code change.

### Run `pre-commit` locally to check files

`pre-commit run --all-files`

## Release History

* 0.1.4
    * CHANGE: Changed the documentation (no code change)
* 0.1.3
    * ADD: Ability to pass dataframe to get correlation matrix
    * ADD: Ability to plot the correlation in form of heatmap
* 0.1.2
    * Added as first release
* 0.1.1
    * Test release

## Author and Contributor

Anurag Kumar Mishra – Connect on [github](https://github.com/anuragithub) or drop a [mail](mailto:anuragkm25@outlook.com)

Distributed under the GNU license. See ``LICENSE`` for more information.

Github repo link  [https://github.com/MavericksDS/pycorr](https://github.com/MavericksDS/pycorr)


## Contributing

1. Fork it (<https://github.com/MavericksDS/pycorr>)
2. Create your feature branch (`git checkout -b feature/fooBar`)
3. Commit your changes (`git commit -am 'Add some fooBar'`)
4. Push to the branch (`git push origin feature/fooBar`)
5. Create a new Pull Request

<!-- Markdown link & img dfn's -->
[pip-url]: https://pypi.org/project/pycorr/
picoscope-recording 1.0.0
A package for triggered recording on picoscope 3000/4000 series
Requires Python: >=3.6

## Project Description

Python code allowing for independent triggered records and playouts from arbitrary waveform generator of Picoscope 3000 and 4000 series.

## Installation

There are several prerequisites

* PicoSDK
* Python wrappers for PicoSDK
* NumPy


To install the PicoSDK C Libraries follow the [instructions](https://github.com/picotech/picosdk-python-wrappers)

To install the PicoSDK wrappers:

`pip install git+https://github.com/picotech/picosdk-python-wrappers`
HTTPStatusCodes 1.0.1
Returns a string detailing of what a given status code means.

# HTTPStatusCodes
HTTPStatusCodes returns a string detailing of what a given status code means.

## Install
`pip install HTTPStatusCodes`
## How to use
```py
from HTTPStatusCodes import get_status_string
status = get_status_string(200)
print (status)
>>> 'OK'
```
Alternatively 
```py
import HTTPStatusCodes
status = HTTPStatusCodes.get_status_string(200)
print(status)
>>> 'OK'
```