# 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.
Metadata
Release files for plottingtools 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| plottingtools-1.0.0.tar.gz | 8.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| plottingtools-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.8 kB
Release files / plottingtools-1.0.0.tar.gz
| Download URL | plottingtools-1.0.0.tar.gz |
|---|---|
| Size | 8.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.5.0 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.0 CPython/3.5.2
|
Release files / plottingtools-1.0.0-py3-none-any.whl
| Download URL | plottingtools-1.0.0-py3-none-any.whl |
|---|---|
| Size | 23.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.5.0 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.0 CPython/3.5.2
|