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A collection of tools for plotting graphs that I have used often enough (or are complex enough) for me to add to a repo

Project description

# plottingtools
A collection of tools that I use for plotting often enough (or with enough
complexity) to necessitate creating a useful API.

## Overview
This package is intended to make plotting as easy as possible for simple data
science visualizations. It's essentially a wrapper around matplotlib and is
designed to simplify the process of creating quick plots. While it's certainly
not as powerful as using matplotlib directly, it hopefully makes it a lot
easier to display information quickly.

This package does not rely on (or currently support) pandas `DataFrames`, and
expects data to be in vector form (ideally a numpy `ndarray`).

## What's new?
### v1.0.0
- Object-oriented model for plotting
- More useful utilities
- Support for line plots
- Examples for line plots
- Better organization of examples

## Functionality
Currently, this package does the following:
- Display data as bars on a single plot
- Single/multi color
- Scaled by a scalar or broadcastable array-like object
- Shown as percentages
- Text:
- Titles
- legends
- X-axis labels
- over-bar labels
- Examples:
located in plottingtools/examples/bars
- Display line plots
- Single or multiple lines
- Formatting options for each line
- Labeling
- Titles
- Simple formatting of the figure

## Installation
` pip install plottingtools `

## Updates and contribution
Keep your eyes here to see updates. Please submit issues or PRs as you see fit.

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