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A library for making charts with Python

Project description


Pycha is a very simple Python package for drawing charts using the great Cairo library. Its goals are:

  • Lightweight

  • Simple to use

  • Nice looking with default values

  • Customization

It won’t try to draw any possible chart on earth but draw the most common ones nicely. There are some other options you may want to look at like pyCairoChart.

Pycha is based on Plotr which is based on PlotKit. Both libraries are written in JavaScript and are great for client web programming. I needed the same for the server side so that’s the reason I ported Plotr to Python. Now we can deliver charts to people with JavaScript disabled or embed them in PDF reports.

Pycha is distributed under the terms of the GNU Lesser General Public License.



Pycha needs PyCairo to works since it uses the Cairo graphics library. If you use Linux you will probably already have it installed so you don’t have to do anything. If you use Windows these are the recommended steps for installing PyCairo:

  1. Grab the latest PyCairo Windows installer from You need to use the one that matches your Python version so take the one ending in -py2.4.exe for Python 2.4 or the one ending in -py2.5.exe for Python 2.5

  2. Install it in your Python environment (just follow the installation program instructions)

  3. Put the Cairo dlls inside the pycairo directory inside your site-packages directory or anywhere in your path. You can find the dlls at Go there and download the following packages:

    1. You just need the libcairo-2.dll file inside that zip

    2. You just need the libpng13.dll file inside that zip

    3. You just need the zlib1.dll file inside that zip

Pycha is distributed as a Python Egg so is quite easy to install. You just need to type the following command:

easy_install pycha

And Easy Install will go to the Cheeseshop and grab the last pycha for you. If will also install it for you at no extra cost :-)


Using pycha is quite simple. You always follow the same 5 simple steps:

  1. Create a Cairo surface to draw the chart on

  2. Build a list of data sets from which your chart will be created

  3. Customize the chart options.

  4. Create the chart, add the datasets and render it

  5. Save the results into a file or do whatever you want with the Cairo surface

To create the Cairo surface you just need to say the type of surface and its dimensions:

import cairo
width, height = (500, 400)
surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, width, height)

Then you should create your data set querying a database or any other data source:

dataSet = (
  ('dataSet 1', ((0, 1), (1, 3), (2, 2.5))),
  ('dataSet 2', ((0, 2), (1, 4), (2, 3))),
  ('dataSet 3', ((0, 5), (1, 1), (2, 0.5))),

As you can see, each data set is a tuple where the first element is the name of the data set and the second is another tuple composed by points. Each point is a two-elements tuple, the first one is the x value and the second the y value.

Not every chart uses all the information of a data set. For example, the Pie chart only uses the first point of each dataset and it only uses the y value of the point.

Now you may want to specify some options so the chart can be customize changing its defaults values. To see the defaults you can check the pycha.chart.Chart.__init__ method in the source code. You can use regular dictionaries to define your options. For example, imagine you want to hide the legend and use a different color for the background:

options = {
    'legend': {'hide': True},
    'background': {'color': '#f0f0f0'},

Now we are ready to instantiate the chart, add the data set and render it:

chart =, options)

Right now you can choose among 4 different kind of charts:

  • Pie Charts (pycha.pie.PieChart)

  • Vertical Bar Charts (

  • Horizontal Bar Charts (

  • Line Charts (

  • Scatterplot Charts (pycha.scatter.ScatterplotChart)

Finally you can write the surface to a graphic file or anything you want using the cairo library:


That’s it! You can see more examples in the examples directory of the source code.


You can get the last bleeding edge version of pycha by getting a checkout of the subversion repository:

svn co pycha


0.4.1 (2008-10-29)

  • Fix a colon in the README.txt file (Lorenzo)

  • Add a test_suite option to so we can run the tests before deployment (Lorenzo)

0.4.0 (2008-10-28)

  • Improved test suite (Lorenzo, Nicolas)

  • Many bugs fixed (Lorenzo, Stephane Wirtel)

  • Support for negative values in the datasets (Nicolas, Lorenzo)

  • Chavier, a simple pygtk application for playing with Pycha charts (Lorenzo)

  • Allow the legend to be placed relative to the right and bottom of the canvas (Nicolas Evrard)

  • Easier debugging by adding __str__ methods to aux classes (rectangle, point, area, …) (Lorenzo)

  • Do not overlap Y axis label when ticks label are not rotated (John Eikenberry)

0.3.0 (2008-03-22)

  • Scattered charts (Tamas Nepusz <>)

  • Chart titles (John Eikenberry <>)

  • Axis labels and rotated ticks (John)

  • Chart background and surface background (John)

  • Automatically augment the light in large color schemes (John)

  • Lots of bug fixes (John and Lorenzo)

0.2.0 (2007-10-25)

  • Test suite

  • Python 2.4 compatibility (patch by Miguel Hernandez)

  • API docs

  • Small fixes

0.1.0 (2007-10-17)

  • Initial release

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