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`).
## 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.
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`).
## 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.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
plottingtools-1.0.0.tar.gz
(8.3 kB
view hashes)
Built Distribution
Close
Hashes for plottingtools-1.0.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6c32982dcc102709c67cbd99742b06107b1d86a9c00e5de5d73bebc2b67c1dd4 |
|
MD5 | b2accdbd9bcc46f548a15a4f36a522d0 |
|
BLAKE2b-256 | 237a5cb37a98caef08475a606f47b18c01dc9e7a244f188d6c221c30f62ad6d8 |