Python Google Chart 0.2.1 released

I just released pygooglechart 0.2.1. It has several bug fixes and minor additions, but the major change is that it now supports QR codes. You can quite easily create a QR code with pygooglechart as you can see below.

from pygooglechart import QRChart

# Create a 125x125 QR code chart
chart = QRChart(125, 125)

# Add the text
chart.add_data('Hello, World!')

# "Level H" error correction with a 0 pixel margin
chart.set_ec('H', 0)

# Download
chart.download('qr-hello.png')

This will download a png from the URL:

http://chart.apis.google.com/chart?cht=qr&chs=125×125&chl=Hello%2C%20World%21&chld=H|0

The image downloaded looks like this:

QR codes are new to me. I’ve only seen a QR code on a bus stop advertisement once in Sydney but I’m sure more will pop up.

TracRecaptchaPlugin 0.1.0 – A CAPTCHA plugin for Trac

I decided to make a CAPTCHA plugin for Trac called TracRecaptchaPlugin, to stop spammers using the ticket system. There is an existing Trac plugin to fight spammers, but it still lets through many automated spammers.

The plugin uses the reCAPTCHA service and is serving me well so far. Here’s how it looks within the template:

TracRecaptchaPlugin Screenshot

This is my first publicly released Trac plugin so I’m unsure how it’ll perform out there, so feedback is welcome.

Python Google Chart 0.2.0

I released pygooglechart 0.2.0 this afternoon after several months of patches coming in to add features and fix bugs. The main addition to pygooglechart is automatic data scaling, which is turned on by default. You can also specify the scale range manually:

chart = SimpleLineChart(width, height, x_range=(0, 100), y_range=(0, 100))

Other features are the new API chart types and options. There are 3 new chart types: Map, Google-o-Meter and Radar. Here is an example of using the Map chart type:

import pygooglechart as gc

chart = gc.MapChart(440, 220)
chart.set_colours(('AAAAAA', '30A030', 'A0C030'))
chart.set_codes(['AU', 'US', 'CA', 'BR', 'NZ'])
chart.add_data([1, 0.5, 0.7, 0.3, 0.1])
chart.download('map.png')

Produces the URL:
http://chart.apis.google.com/chart?cht=t&chs=440×220&chd=s:9frSG&chco=AAAAAA,30A030,A0C030&chtm=world&chld=AUUSCABRNZ

And the image:

The Google-o-meter has a funny name. Here is an example of its usage:

import pygooglechart as gc

chart = gc.GoogleOMeterChart(440, 220, y_range=(0, 10))
chart.set_pie_labels(['Awesome'])
chart.add_data([8])
chart.download('gom.png')

It produces this URL:
http://chart.apis.google.com/chart?cht=gom&chs=440×220&chd=s:x&chl=Awesome

And the image:

Well, have fun. Please tweet me for any bugs, patches or feature requests you have.

BetterPrint

I find readability very important when reading data. It saves time and energy. To me, Python’s pprint module is not easy to read in a lot of cases so I made my own. This is how pprint looks like at the moment:

BetterPrint is based on a lot of the source code, which looks about 10 years old. It makes more sense to me to have braces aligned by column rather than jammed together inline. BetterPrint also introduces colour to increase readability even more. As you can see from the following screen shot:

BetterPrint is compatible with Python’s pprint module, so you can simply “import betterprint” aliased as pprint like so:

try:
    import betterprint as pprint
except ImportError:
    import pprint

If you have setuptools installed simply run “easy_install betterprint”, or visit the web page for more details and installation instructions.

Python Call Graph 0.4.0

I’ve just released pycallgraph 0.4.0. It has several major new features including a command line interface and measuring accumulative time per function.

The 0.4.0 pycallgraph CLI supports function filtering, timing filtering, maximum stack level and a few more settings. For example, to do a simple call graph on “myfile.py”:

pycallgraph-dot.py myfile.py mygraph.png

Here’s an example that doesn’t include the class Foo and outputs to a SVG file format:

pycallgraph-dot.py –exclude=”*.Foo.*” –image-format=svg myfile.py myfile.svg

Turns out far easier than modifying your source code to create a call graph.

Here’s one of the graphs from the source code examples colours.py:

Orange Green Example

As you can see it has green and orange gradients. One end of the gradient is green because of the number of calls is high and the other is orange because the function calls are taking the longest. All that with a function that looks like this:

def orange_green(calls, total_time):
    """Make a higher total time have an orange colour and a higher number
    of calls have a green colour using RGB.
    """
    return '#%02X%02X%02X' % (
        0x30 + total_time * 0xc0,
        0x30 + calls * 0xc0 + total_time * 0x70,
        0x30,
    )

I hope it’s useful to you!