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| Here's a quick example for using PyChart in a CGI script to dynamically create and return a plot in png format. Just drop it into your cgi-bin directory and point your browser at it. Please see the official PyChart docs for plenty of nicely-commented examples. {{{#!python #!/usr/bin/python import random import sys from pychart import * print "Content-type: image/png" sys.argv.append( '--format=png' ) theme.get_options() theme.scale_factor = 2 theme.reinitialize() data = [] for i in range(10): data.append( (i, random.random()* 3.0) ) xaxis = axis.X( format="/hL%d", label="time" ) yaxis = axis.Y( label="synaptic activity" ) ar = area.T( x_axis=xaxis, y_axis=yaxis, y_range=(0,None), size=(120,110) ) plot = line_plot.T( label="cortex data", data=data, ycol=1, tick_mark=tick_mark.square ) ar.add_plot( plot ) ar.draw() }}} |
PyChart is a Python library for creating high quality Encapsulated Postscript, PDF, PNG, or SVG charts. It currently supports line plots, bar plots, range-fill plots, and pie charts.
Here's a quick example for using PyChart in a CGI script to dynamically create and return a plot in png format. Just drop it into your cgi-bin directory and point your browser at it. Please see the official PyChart docs for plenty of nicely-commented examples.
1 #!/usr/bin/python
2
3 import random
4 import sys
5 from pychart import *
6
7 print "Content-type: image/png"
8 print
9
10 sys.argv.append( '--format=png' )
11
12 theme.get_options()
13 theme.scale_factor = 2
14 theme.reinitialize()
15
16 data = []
17 for i in range(10):
18 data.append( (i, random.random()* 3.0) )
19
20 xaxis = axis.X( format="/hL%d", label="time" )
21 yaxis = axis.Y( label="synaptic activity" )
22
23 ar = area.T( x_axis=xaxis, y_axis=yaxis, y_range=(0,None), size=(120,110) )
24 plot = line_plot.T( label="cortex data", data=data, ycol=1, tick_mark=tick_mark.square )
25 ar.add_plot( plot )
26
27 ar.draw()