semvec/pypi-packages huggingface dataset:
plotlyextreme 0.0.4
Simple wrapper functions for plotly visualization package

## PlotlyExtreme

Set of wrapper functions to abstract repetitive tasks related to plotting with
the plotly library.

The plotly functions are passed as arguments to limit what this package has to
handle.

### Current Plots

#### Plot a Big Number

`plots.create_big_number`

![Big Number](/img/plot_big_number.png?raw=true)

#### Plot Four Dimensions using Buttons

`plots.plot_four_dimensions`

![Four Dimensions with Annotations](/img/plot_four_dimensions.png?raw=true)


### Example

```
import pandas as pd
from plotly.offline import iplot
import plotly.graph_objs as go
import plotly

from plotlyextreme import plots

df = pd.DataFrame({
                    'abc':[1000,5000,3000,1000,1000,1500,8000,1000],
                    'def':[4,5,6,4,6,4,6,4],
                    'ghi':['a', 'b', 'a', 'b', 'a', 'b', 'a', 'b'],
                    'jkl':['z', 'z', 'z', 'z', 'y', 'y', 'y', 'y'],
                    'annotation_one': ['a', 'a', 'a', 'a', 'a', 'a', 'a', 'a'],
                    'annotation_two': ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']
                  })

plots.create_big_number(title='abc', large_number=123, pacing=.7,
                        render_func=iplot)

plots.plot_four_dimensions(df, x='abc', y='def', title='alphabet',
                           segmentation_col='ghi',    button_col='jkl',
                           buttons=['z', 'y'], default_visibility='z',
                           trace_func=go.Scatter, render_func=iplot),
                           x_layout=go.layout.XAxis(tickformat=',d'))
```
pyimprove 0.0.3
Automated Program Repair of Python Source-Code Using Genetic Improvement

# Pyimprove

Automated program repair for Python using Genetic Improvement.

## Installation

This project is avaliable through pip:
```
pip install pyimprove
```

And run the project using:
```
python -m pyimprove ./bugs/custom/factorial.py ./bugs/custom/factorial_test.py
```

## Future development

This project was made during University and there were a lot of features that were dropped due to time constraints. There are also a raft of changes I would make in hindsight after completing the first version. Please checkout the issue board to see future intended development.