semvec/pypi-packages huggingface dataset:
dropcols 2.0.1
Filters a CSV file, extraction or dropping columns selected by name or position. | Removes (or conversely, extracts)

selected columns from a delimited text file, such as a CSV file. It is analogous 
to the "cut" program, except that it works on CSV files and allows columns 
to be selected by name (regular expressions) in addition to by number. Either the 
columns to keep, or the columns to remove, or both, can be specified.

Home-page: UNKNOWN
Author: Dreas Nielsen
Author-email: dreas.nielsen@gmail.com
License: UNKNOWN
Description: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Topic :: Text Processing :: General
Classifier: Topic :: Office/Business
iotronic-lightningrod 0.5.0
Implementation of the Lightning-rod, the Stack4Things board-side probe

===============================
Iotronic Lightning-rod Agent
===============================

Python implementation of Lightning-rod Agent, the Stack4Things
board-side probe.

* Free software: Apache 2.0 license
* Website: http://stack4things.unime.it/
* Source: https://opendev.org/x/iotronic-lightning-rod
* Bugs: https://bugs.launchpad.net/iotronic-lightning-rod


Installation guides
-------------------

* `Raspberry Pi 3 <https://opendev.org/x/iotronic-lightning-rod/src/branch/master/doc/installation/raspberry_pi_3.rst>`_.

* `Ubuntu 16.04 and 18.04 <https://opendev.org/x/iotronic-lightning-rod/src/branch/master/doc/installation/ubuntu1604.rst>`_.

* Docker:

  * `Raspberry Pi <https://cloud.docker.com/u/smartmeio/repository/docker/smartmeio/arm-openstack-iotronic-lightning-rod>`_.
  * `Debian/Ubuntu <https://cloud.docker.com/u/smartmeio/repository/docker/smartmeio/openstack-iotronic-lightning-rod>`_.
py-streamkompressor 0.0.2
IoT Sample Stream Compressor
Requires Python: >=3.6

# StreamKompressor

StreamKompressor is a Python library for compressing and decompressing sample data streams from IoT devices and sensors.
It also can divide the data in a maximum-byte-number block size, ideal for sending data to a limited packet size communication protocol such LoraWan, non continuos satellite connectivity (LEO) or distributed storage systems.

## Algorithm
StreamKompressor manages only integer values and utf-8 encoded labels. It performs better with small labels (less characters as possible)

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.

```bash
pip install py-streamkompressor
```

## Usage

```python
from streamkompressor.streamkompressor import StreamKompressor

#Input Data example
data = [
    {'a': 1, 'b': 2, 'c': 10000},
    {'a': 7, 'b': 1, 'c': 10001},
    #...
    {'a': -34, 'b': 1, 'c': 10006}
]

#Initialize
sk = StreamKompressor()

#Compress
result = sk.kompress(data, label="optional")

#Decompress
data, label = sk.dekompress(result)
```

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License
[MIT](https://choosealicense.com/licenses/mit/)