mirror of https://github.com/Kozea/pygal.git
Python to generate nice looking SVG graph
http://pygal.org/
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45 lines
1.1 KiB
45 lines
1.1 KiB
17 years ago
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import sys, os
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#sys.path.insert( 0, 'c:\documents and settings\jaraco\my documents\projects\jaraco' )
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import SVG
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from SVG import Plot
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reload( SVG )
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reload( Plot )
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g = Plot.Plot( {
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'min_x_value': 0,
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'min_y_value': 0,
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'area_fill': True,
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'stagger_x_labels': True,
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'stagger_y_labels': True,
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'show_x_guidelines': True
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})
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g.add_data( { 'data': [ 1, 25, 2, 30, 3, 45 ], 'title': 'foo' } )
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g.add_data( { 'data': [ 1,30, 2, 31, 3, 40 ], 'title': 'foo2' } )
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g.add_data( { 'data': [ .5,35, 1, 20, 3, 10.5 ], 'title': 'foo2' } )
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res = g.burn()
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f = open( r'c:\sample.svg', 'w' )
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f.write( res )
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f.close()
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from SVG import TimeSeries
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reload( TimeSeries )
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g = TimeSeries.Plot( { } )
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g.timescale_divisions = '4 hours'
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g.stagger_x_labels = True
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g.x_label_format = '%d-%b'
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#g.max_y_value = 200
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g.add_data( { 'data': [ '2005-12-21T00:00:00', 20, '2005-12-22T00:00:00', 21 ], 'title': 'foo' } )
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res = g.burn()
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print g.field_width
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print g.font_size
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print g.right_font
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print g.right_align
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print g.get_x_labels()
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f = open( r'c:\timeseries.py.svg', 'w' )
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f.write( res )
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f.close()
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