mirror of https://github.com/Kozea/pygal.git
Python to generate nice looking SVG graph
http://pygal.org/
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181 lines
5.7 KiB
181 lines
5.7 KiB
17 years ago
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#!/usr/bin/env python
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import SVG
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import re
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#requires python date-util from http://labix.org/python-dateutil
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from dateutil.parser import parse
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from dateutil.relativedelta import relativedelta
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from time import mktime
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import datetime
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fromtimestamp = datetime.datetime.fromtimestamp
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class Plot( SVG.Plot.Plot ):
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"""=== For creating SVG plots of scalar temporal data
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= Synopsis
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import SVG.TimeSeries
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# Data sets are x,y pairs
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data1 = ["6/17/72", 11, "1/11/72", 7, "4/13/04 17:31", 11,
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"9/11/01", 9, "9/1/85", 2, "9/1/88", 1, "1/15/95", 13]
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data2 = ["8/1/73", 18, "3/1/77", 15, "10/1/98", 4,
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"5/1/02", 14, "3/1/95", 6, "8/1/91", 12, "12/1/87", 6,
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"5/1/84", 17, "10/1/80", 12]
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graph = SVG::Graph::TimeSeries.new( {
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:width => 640,
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:height => 480,
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:graph_title => title,
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:show_graph_title => true,
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:no_css => true,
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:key => true,
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:scale_x_integers => true,
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:scale_y_integers => true,
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:min_x_value => 0,
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:min_y_value => 0,
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:show_data_labels => true,
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:show_x_guidelines => true,
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:show_x_title => true,
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:x_title => "Time",
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:show_y_title => true,
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:y_title => "Ice Cream Cones",
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:y_title_text_direction => :bt,
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:stagger_x_labels => true,
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:x_label_format => "%m/%d/%y",
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})
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graph.add_data({
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:data => projection
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:title => 'Projected',
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})
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graph.add_data({
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:data => actual,
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:title => 'Actual',
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})
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print graph.burn()
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= Description
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Produces a graph of temporal scalar data.
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= Examples
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http://www.germane-software/repositories/public/SVG/test/timeseries.rb
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= Notes
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The default stylesheet handles upto 10 data sets, if you
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use more you must create your own stylesheet and add the
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additional settings for the extra data sets. You will know
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if you go over 10 data sets as they will have no style and
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be in black.
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Unlike the other types of charts, data sets must contain x,y pairs:
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[ "12:30", 2 ] # A data set with 1 point: ("12:30",2)
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[ "01:00",2, "14:20",6] # A data set with 2 points: ("01:00",2) and
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# ("14:20",6)
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Note that multiple data sets within the same chart can differ in length,
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and that the data in the datasets needn't be in order; they will be ordered
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by the plot along the X-axis.
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The dates must be parseable by ParseDate, but otherwise can be
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any order of magnitude (seconds within the hour, or years)
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= See also
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* SVG::Graph::Graph
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* SVG::Graph::BarHorizontal
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* SVG::Graph::Bar
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* SVG::Graph::Line
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* SVG::Graph::Pie
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* SVG::Graph::Plot
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== Author
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Sean E. Russell <serATgermaneHYPHENsoftwareDOTcom>
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Copyright 2004 Sean E. Russell
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This software is available under the Ruby license[LICENSE.txt]
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"""
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popup_format = x_label_format = '%Y-%m-%d %H:%M:%S'
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__doc_popup_format_ = "The formatting usped for the popups. See x_label_format"
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__doc_x_label_format_ = "The format string used to format the X axis labels. See strftime."
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timescale_divisions = None
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__doc_timescale_divisions_ = """Use this to set the spacing between dates on the axis. The value
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must be of the form
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"\d+ ?(days|weeks|months|years|hours|minutes|seconds)?"
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EG:
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graph.timescale_divisions = "2 weeks"
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will cause the chart to try to divide the X axis up into segments of
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two week periods."""
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def add_data( self, data ):
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"""Add data to the plot.
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d1 = [ "12:30", 2 ] # A data set with 1 point: ("12:30",2)
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d2 = [ "01:00",2, "14:20",6] # A data set with 2 points: ("01:00",2) and
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# ("14:20",6)
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graph.add_data(
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:data => d1,
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:title => 'One'
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)
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graph.add_data(
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:data => d2,
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:title => 'Two'
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)
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Note that the data must be in time,value pairs, and that the date format
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may be any date that is parseable by ParseDate."""
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super( Plot, self ).add_data( data )
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def process_data( self, data ):
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super( Plot, self ).process_data( data )
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# the date should be in the first element, so parse it out
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data['data'][0] = map( self.parse_date, data['data'][0] )
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_min_x_value = SVG.Plot.Plot.min_x_value
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def get_min_x_value( self ):
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return self._min_x_value
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def set_min_x_value( self, date ):
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self._min_x_value = self.parse_date( date )
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min_x_value = property( get_min_x_value, set_min_x_value )
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def format( self, x, y ):
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return fromtimestamp( x ).strftime( self.popup_format )
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def get_x_labels( self ):
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return map( lambda t: fromtimestamp( t ).strftime( self.x_label_format ), self.get_x_values() )
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def get_x_values( self ):
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result = self.get_x_timescale_division_values()
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if result: return result
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return tuple( SVG.Plot.float_range( *self.x_range() ) )
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def get_x_timescale_division_values( self ):
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if not self.timescale_divisions: return
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min, max, scale_division = self.x_range()
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m = re.match( '(?P<amount>\d+) ?(?P<division_units>days|weeks|months|years|hours|minutes|seconds)?', self.timescale_divisions )
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# copy amount and division_units into the local namespace
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division_units = m.groupdict()['division_units'] or 'days'
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amount = int( m.groupdict()['amount'] )
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if not amount: return
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delta = relativedelta( **{ division_units: amount } )
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result = tuple( self.get_time_range( min, max, delta ) )
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return result
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def get_time_range( self, start, stop, delta ):
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start, stop = map( fromtimestamp, (start, stop ) )
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current = start
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while current <= stop:
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yield mktime( current.timetuple() )
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current += delta
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def parse_date( self, date_string ):
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return mktime( parse( date_string ).timetuple() )
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