semvec/pypi-packages huggingface dataset:
GsheetPlot123 0.0.1
This package will help you to plot a chart betweem any two columns from google sheet
License: MIT
Keywords: Graph Google-Sheet

This package allows all user to plot a graph between any two columns of your google sheet.<br/><br/>

# Installation using pip:<br/>
```
    pip install MyFirstPlot
```

# Methods Available:<br/>
    - .get_cols() : This method will return a list of all column lables present in the selected google sheet.<br/>

    - .plot(x, y) : This method will generate a graph between column1(x_axis) and column2(y_axis) and will save it as an image file on the local disk.<br/>

# Code Example<br/>
```
    from MyFirstPlot import *

    object = MyFirstPlot(url)

    # Method 1
    columns = object.get_cols()

    # Method 2
    object.plot(x_axis_column_name, y_axis_column_name)
```




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

0.0.1 (15/01/2021)
------------------------
- First Release
peewee-s 1.0.1
Upgrade based on official peewee 3.14.0
License: MIT

# peewee-s
* Upgrade based on official peewee 3.14.0
* Add some functions that are not officially available

## Guide to use
`pip install peewee-s`

## thank
* Thank you very much for seeing this. I'm very happy if I can help you. I don't need a cup of coffee. Please give me a 
  little star with your beautiful hands
  
* Thank you so much for [peewee](https://github.com/coleifer/peewee)
## github
[peewee-s](https://github.com/langengel/peewee-s)
MyFirstPlot 0.0.1
This package will help you to plot a chart betweem any two columns from google sheet
License: MIT
Keywords: Graph Google-Sheet

This package allows all user to plot a graph between any two columns of your google sheet.<br/><br/>

# Installation using pip:<br/>
```
    pip install MyFirstPlot
```

# Methods Available:<br/>
    - .get_cols() : This method will return a list of all column lables present in the selected google sheet.<br/>

    - .plot(x, y) : This method will generate a graph between column1(x_axis) and column2(y_axis) and will save it as an image file on the local disk.<br/>

# Code Example<br/>
```
    from MyFirstPlot import *

    object = MyFirstPlot(url)

    # Method 1
    columns = object.get_cols()

    # Method 2
    object.plot(x_axis_column_name, y_axis_column_name)
```




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

0.0.1 (15/01/2021)
------------------------
- First Release