SVGdatashapes examples:   Axis rendering test

Ohio Kansas Michigan Oklahoma Mississippi New Mexico Wisconsin South Dakota New Hampshire Georgia Ohio Kansas Michigan Oklahoma Mississippi New Mexico Wisconsin South Dakota New Hampshire Georgia Ohio Kansas Michigan Oklahoma Mississippi New Mexico Wisconsin South Dakota New Hampshire Georgia Ohio Kansas Michigan Oklahoma Mississippi New Mexico Wisconsin South Dakota New Hampshire Georgia 0 2000 4000 6000 8000 10000 0 2000 4000 6000 8000 10000 0 2000 4000 6000 8000 10000 0 2000 4000 6000 8000 10000 0 1000 2000 5000 10000 


import svgdatashapes as s

def test_axis():

    dataset = []        # create a data set for this self-contained example...
    dataset.append( { 'state':'Ohio',          'avg':12,   'sem':3.4  , 'new':True} )
    dataset.append( { 'state':'Kansas',        'avg':42.1, 'sem':12.4 , 'new':True} )
    dataset.append( { 'state':'Michigan',      'avg':32.2, 'sem':7.3  , 'new':True} )
    dataset.append( { 'state':'Oklahoma',      'avg':72.3, 'sem':22.4 , 'new':False} )
    dataset.append( { 'state':'Mississippi',   'avg':62,   'sem':14.8 , 'new':False} )
    dataset.append( { 'state':'New Mexico',    'avg':44,   'sem':8.8  , 'new':True} )
    dataset.append( { 'state':'Wisconsin',     'avg':55,   'sem':6.2  , 'new':False} )
    dataset.append( { 'state':'South Dakota',  'avg':66.8, 'sem':16.3 , 'new':False} )
    dataset.append( { 'state':'New Hampshire', 'avg':97.5, 'sem':27.8 , 'new':False} )
    dataset.append( { 'state':'Georgia',       'avg':89,   'sem':19.2 , 'new':False} )

    textstyle = 'font-family: sans-serif;'    # ensure sans-serif even via [img]

    # building our svg...
    s.svgbegin( width=800, height=600 )

    s.setline( color='#555' )
    s.settext( color='#444', style=textstyle )  


    # left column ... X categorical space... 
    cats = s.uniqcats( datarows=dataset, column='state' )
    s.xspace( svgrange=(50,350), catlist=cats )

    s.yspace( svgrange=(500,550), datarange=(0,10) )
    s.xaxis( tics=8 )   # use default stubrotate

    s.yspace( svgrange=(400,450), datarange=(0,10) )
    s.xaxis( tics=8, stubrotate=90 )

    s.yspace( svgrange=(300,350), datarange=(0,10) )
    s.xaxis( tics=8, stubrotate=-45 )

    s.yspace( svgrange=(200,250), datarange=(0,10) )
    s.xaxis( tics=8, stubrotate=60 )


    # right column ... X numeric space....
    s.xspace( svgrange=(450,750), datarange=(0,10000) )

    s.yspace( svgrange=(500,550), datarange=(0,10) )
    s.xaxis( tics=8 )   # use default stubrotate

    s.yspace( svgrange=(400,450), datarange=(0,10) )
    s.xaxis( tics=8, stubrotate=0 )   

    s.yspace( svgrange=(300,350), datarange=(0,10) )
    s.xaxis( tics=8, stubrotate=90 )   

    s.yspace( svgrange=(200,250), datarange=(0,10) )
    s.xaxis( tics=8, stubrotate=-45 )   

    s.yspace( svgrange=(100,150), datarange=(0,10) )

    xstubs = [ [ 0, '0' ], [ 1000, '1000'], [ 2000, '2000' ], [ 5000, '5000' ], [ 10000, '10000' ] ]
    s.xaxis( tics=8, stublist=xstubs, stubrotate=90 )
  
    return s.svgresult()