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Description:
PyAgg 0.3.0
PyAgg is a precompiled Python library for lightweight, easy, and
convenient graphics rendering based on the aggdraw module.
Motivation
There are several ways to create high quality 2D drawings and graphics
in Python. The widely used Matplotlib library is a favorite for advanced
scientific visualizations, but for simpler drawing uses, its size,
dependencies, and steep learning curve can be a bit overkill. PyCairo is
another library, but unfortunately it suffers some from slow drawing and
a stateful API that leads to longer code. Finally, Aggdraw is simple and
intuitive, but has slightly limited functionality, is no longer
maintained, and precompiled binaries are hard to come by.
The current library, PyAgg, aims to solve some of these problems. By
building on the lightweight aggdraw module and including the necessary
pre-compiled binaries for multiple Python and architecture versions in
the same package, PyAgg is ready to use out of the box, no installation
or compiling required. It is very fast and produces high quality
antialiased drawings. Most importantly, PyAgg wraps around and offers
several convenience functions for easier no-brain drawing and data
visualization, including flexible handling of coordinate systems and
length units.
Here is to at least another 5 years of beautiful and lightweight AGG
image drawing. Cheers! After that, Python 2x will no longer be
maintained, and while people can still continue to use it, it is likely
that most people will be using Python 3x. At that point someone will
have to update the C++ Aggdraw wrapper so it can be compiled for Python
3x if Python users are to continue to enjoy the power of the Agg
graphics library.
Features
The main features of PyAgg include:
A coordinate aware image. No need for the intricacies of affine
matrix transformations, just define the coordinates that make up each
corner of your image once, and watch it follow as you resize, crop,
rotate, move, and paste the image. Zoom in and out of you coordinate
system by bounding box, factor, or units, and lock the aspect ratio
to avoid distortions.
Oneliners to easily draw and style high quality graphical elements
including polygons with holes, lines with or without smooth curves,
pie slices, and point symbols like circles, squares, and triangles
with an optional flattening factor.
Style your drawing sizes and distances in several types of units,
including pixels, percentages, cm, mm, inches, and font points, by
specifying the real world size of your image.
Smart support for text writing, including text anchoring, and
automatic detection of available fonts.
Instantly view your image in a Tkinter pop up window, or prepare it
for use in a Tkinter application.
There is also support for common domain specific data visualization:
Partial support for geographical plotting, including a lat-long
coordinate system, and automatic drawing of GeoJSON features.
Easily plot statistical data on graphs with a syntax and
functionality that is aimed more for data analysts and laymen than
computer scientists, including linegraph, scatterplot, histogram,
etc, although these are still a work in progress.
Platforms
Python 2.6 and 2.7
PyAgg relies on the aggdraw Python C++ wrapper, and as a convenience
comes with aggdraw precompiled for the following platforms:
Python 2.6 (Windows: 32-bit only, Mac and Linux: No support)
Python 2.7 (Windows: 32 and 64-bit, Mac and Linux: 64-bit only)
Note: Mac and Linux support has not been fully tested, and there are
some reports of problems on Linux.
You can get around these limitations by compiling aggdraw on your own,
in which case PyAgg should work on any machine that you compile for.
Dependencies
PIL/Pillow (used for image loading, saving, and manipulation. Also used
for text-rendering, which means if you compile PIL/Pillow on your own
make sure FreeType support is enabled)
Installing it
PyAgg is installed with pip from the commandline:
pip install pyagg
It also works to just place the “pyagg” package folder in an importable
location like “site-packages”.
Example Usage
Begin by importing the pyagg module:
import pyagg
To begin drawing, create your canvas instance and define its coordinate
system, in this case based on percentages to easily draw using relative
positions. In our case we give our image the size of an A4 paper, and
specify that all further drawing in real world units should use 96
pixels per inch:
canvas = pyagg.Canvas("210mm", "297mm", background=(222,222,222), ppi=96)
canvas.percent_space()
Next, draw some graphical elements:
canvas.draw_line([10,10, 50,90, 90,10],
smooth=True,
fillcolor=(222,0,0),
fillsize="2cm")
canvas.draw_triangle((50,50),fillsize="30px", fillcolor=(0,0,0, 111))
And some text:
canvas.draw_text((50,50),"PyAgg is for drawing!",
textanchor="center",
textfont="Segoe UI",
textsize=42)
Once you are done, view or save your image:
canvas.save("test.png")
canvas.view()
More Information:
The above was just a very small example of what you can do with PyAgg.
But until I get around to making the full tutorial just check out the
API documentation below.
Home Page
API Documentation
License:
This code is free to share, use, reuse, and modify according to the MIT
license, see license.txt
Credits:
Karim Bahgat (2016)
Changes
0.2.0 (2016-06-22)
Plenty of (undocumented) feature additions, including some unfinished
ones
Replaced heavy fontTools dependency with a more lightweight font
locator
Fixed some bugs improving platform support for Mac and Linux (though
not fully tested)
0.1 (2016-03-28)
First basic release
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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