semvec/pypi-packages huggingface dataset:
merge-csv-xjg 0.0.6
Merge two CSV files with pandas
Requires Python: >=3.6

# Merge CSV

Simple package for merging two CSV files with pandas based on values in a given column. 

This module is required over pd.merge due to proper handling of rows with empty values. 

# Install

`pip install merge_csv_xjg`

# Usage

## As CLI Tool

```
Usage: merge_csv [OPTIONS]

Options:
  -l, --left-file TEXT            One of two CSVs to be merged
  -r, --right-file TEXT           Two of two CSVs to be merged
  -c, --column TEXT               Name of column to match entries
  -o, --output TEXT               Output file path
  -k, --keep [left|right|both|none]
                                  Table to keep values from if no match is
                                  found
  --keep-missing [left|right|both|none]
                                  Keep rows where value in named column is
                                  null
  -v, --verbose                   Output extra information
  --help                          Show this message and exit.
```

# TODO 

- Only copy specific columns from each of the sheets
innotescus 1.0.0
Client for the Innotescus Platform
Requires Python: >=3.7

![Innotescus Logo](https://innotescus.io/wp-content/uploads/2021/02/logo-inno-tag-1.svg)

This is the client library for Innotescus, a platform for annotating, curating, and refining computer vision data for machine learning.

Use this library to programmatically interact with your Innotescus account, including project and team member management, and image, video, and annotation imports and exports.

## Register An Account
An Innotescus account is **required** for using this library.  Please visit
[innotescus.app](https://innotescus.app) to register or request a free trial.

## Documentation
Client documentation is accessible from your account, once you've
registered.
dkjason 3.0.6
dkjason - Helper module to send json encoded data from Python



dkjason - Helper module to send json encoded data from Python
=============================================================

This module knows how to serialize general object, objects specialized
with a ``__json__()`` method, Django QuerySets, and ``ttcal`` objects.

.. image:: https://travis-ci.org/datakortet/dkjason.svg?branch=master
   :target: https://travis-ci.org/datakortet/dkjason
   :alt: Pipeline status

.. image:: https://readthedocs.org/projects/dkjason/badge/?version=latest
   :target: https://dkjason.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation Status

.. image:: https://codecov.io/gh/datakortet/dkjason/branch/master/graph/badge.svg?token=zmqdQHOX89
   :target: https://codecov.io/gh/datakortet/dkjason
vs-nb 0.5.0
Converts .ipynb into .py and vice-versa
Requires Python: >=3

# vs_nb

Is a Python package that saves .ipynb as a .py and vice-versa in VS Code.

This is needed because currently the [VS Code jupytext extension](https://github.com/notebookPowerTools/vscode-jupytext) is broken and the [standard jupytext library](https://github.com/mwouts/jupytext) does not work with VS Code notebooks.

A working jupytext extension would be preferred because this package needs to be run manually in a .ipynb cell or an interactive .py cell (# %% syntax) to convert them, rather than happening after every save. You also need to manually type the name of the file into the convert function, rather than it picking it up automatically.

## Installation

Use pip to install `vs_nb` from [PyPi](https://pypi.org/project/vs-nb/0.5.0/)

```bash
pip install vs-nb
```
or from [GitHub](https://github.com/JamesHuckle/vs-nb)
```bash
pip install git+https://github.com/JamesHuckle/vs-nb.git
```
## Usage

```python
#Inside a .ipynb cell or .py file that is named "test"
from vs_nb import convert     
convert(file_prefix='test', is_py='__file__' in globals())
```

*(Recommendation)* 

Set up **autosave** on VS Code because it does not currently alert when an file open in a tab has been modified on disk (by vs-nb) until you attempt to save it, meaning you could be working on a stale file without knowing it!

To activate autosave put this in your `settings.json` file in VS Code and restart VS Code.
```Python
"files.autoSave": "onFocusChange",
```

Example Bug:
1) Open `.ipynb` and run `convert` function to build a `.py`
2) Make changes to `.ipynb` in a VS Code tab but **do not save**. 
3) Open the .py, make changes, save it, and run convert to build `.ipynb`.
4) Navigating back to the `.ipynb` in the VS Code tab will result in no warning that the `.ipynb` has just been modified, instead it displays the old unsaved changes.


## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

## License
[MIT](https://choosealicense.com/licenses/mit/)
graysmps 0.1.5
欢迎使用灰块工作室的“简约库” ,Lanpasby
Requires Python: >=3.6

# Example Package

---------------

This is self simple example package. You can use
[Github-flavored Markdown](https://guides.github.com/features/mastering-markdown/)
to write your content.


# How To Use It

----------------
Download the graytime module

Enter "pip install lanoutput" in command

Understand the modules of this library

You can wait self few days because I haven't finished yet

----------------
You can write an email to me

My email is huibubu2022@163.com

Or you can in the [My Programming Website](https://code.xueersi.com/space/31023943)

----------------

 # 可使用版本为

V0.1.0