Python viewport示例

示例#1

文件： heatmap.py 项目： drewp/photo

def makeImage(rates):
    out = tempfile.NamedTemporaryFile(suffix='.png')

    grdevices = importr('grDevices')
    grdevices.png(file=out.name, width=512, height=512)
    try:
        grid.newpage()
        lt = grid.layout(1, 1)
        vp = grid.viewport(layout=lt)
        vp.push()

        vp = grid.viewport(**{'layout.pos.col': 1, 'layout.pos.row': 1})

        for row, (year, count) in enumerate(sorted(rates['byYear'].items())):
            grid.rect(x=grid.unit(.5, "npc"),
                      y=grid.unit(row / len(rates['byYear']), "npc"),
                      width=grid.unit(count / 15000, "npc"),
                      height=grid.unit(.95 / len(rates['byYear']), "npc"),
                      vp=vp).draw()

    finally:
        grdevices.dev_off()
    return open(out.name).read()

示例#2

文件： heatmap.py 项目： drewp/photo

def makeImage(rates):
    out = tempfile.NamedTemporaryFile(suffix='.png')

    grdevices = importr('grDevices')
    grdevices.png(file=out.name, width=512, height=512)
    try:
        grid.newpage()
        lt = grid.layout(1, 1)
        vp = grid.viewport(layout = lt)
        vp.push()

        vp = grid.viewport(**{'layout.pos.col':1, 'layout.pos.row': 1})

        for row, (year, count) in enumerate(sorted(rates['byYear'].items())):
            grid.rect(x=grid.unit(.5, "npc"),
                      y=grid.unit(row / len(rates['byYear']), "npc"),
                      width=grid.unit(count / 15000, "npc"),
                      height=grid.unit(.95 / len(rates['byYear']), "npc"),
                      vp = vp).draw()
        
    finally:
        grdevices.dev_off()
    return open(out.name).read()

示例#3

文件： test_grid.py 项目： rpy2/rpy2

def test_viewport():
    v = grid.viewport()

示例#4

文件： graphics.py 项目： realmichaelzyy/cs249-2

pp = gp + \
     ggplot2.aes_string(x='wt', y='mpg') + \
     ggplot2.geom_point()

pp.plot()
#-- ggplot2mtcars-end
grdevices.dev_off()

grdevices.png('../../_static/graphics_ggplot2geombin2d.png',
              width=1000,
              height=350,
              antialias="subpixel",
              type="cairo")
grid.newpage()
grid.viewport(layout=grid.layout(1, 3)).push()

vp = grid.viewport(**{'layout.pos.col': 1, 'layout.pos.row': 1})
#-- ggplot2geombin2d-begin
gp = ggplot2.ggplot(dataf_rnorm)

pp = gp + \
     ggplot2.aes_string(x='value', y='other_value') + \
     ggplot2.geom_bin2d() + \
     ggplot2.ggtitle('geom_bin2d')
pp.plot(vp=vp)
#-- ggplot2geombin2d-end

vp = grid.viewport(**{'layout.pos.col': 2, 'layout.pos.row': 1})
#-- ggplot2geomdensity2d-begin
gp = ggplot2.ggplot(dataf_rnorm)

示例#5

文件： test.py 项目： dvu4/udacity

     ggplot2.scale_fill_gradient(high = 'blue', low = 'red') + \
     ggplot2.scale_fill_continuous(name = "Obama Vote Share") + \
     ggplot2.scale_colour_continuous(name = "Obama Vote Share") + \
     ggplot2.opts(**{'legend.position': 'left', 'legend.key.size': robjects.r.unit(2, 'lines'), 'legend.title' : ggplot2.theme_text(size = 14, hjust=0), \
                     'legend.text': ggplot2.theme_text(size = 12), 'title' : "Obama Vote Share and Distance to Railroads in IL", \
                     'plot.title': ggplot2.theme_text(size = 24), 'plot.margin': robjects.r.unit(robjects.r.rep(0,4),'lines'), \
                     'panel.background': ggplot2.theme_blank(), 'panel.grid.minor': ggplot2.theme_blank(), 'panel.grid.major': ggplot2.theme_blank(), \
                     'axis.ticks': ggplot2.theme_blank(), 'axis.title.x': ggplot2.theme_blank(), 'axis.title.y': ggplot2.theme_blank(), \
                     'axis.title.x': ggplot2.theme_blank(), 'axis.title.x': ggplot2.theme_blank(), 'axis.text.x': ggplot2.theme_blank(), \
                     'axis.text.y': ggplot2.theme_blank()} ) + \
     ggplot2.geom_line(ggplot2.aes(x='long', y='lat', group='group'), data=IL_railroads, color='grey', size=0.2) + \
     ggplot2.coord_equal()
 
p_map.plot()
 
## add the scatterplot
## define layout of subplot with viewports

vp_sub = grid.viewport(x = 0.19, y = 0.2, width = 0.32, height = 0.4)
 
p_sub = ggplot2.ggplot(RR_distance) + \
    ggplot2.aes_string(x = 'OBAMA_SHAR', y= 'NEAR_DIST') + \
    ggplot2.geom_point(ggplot2.aes(color='OBAMA_SHAR')) + \
    ggplot2.stat_smooth(color="black") + \
    ggplot2.opts(**{'legend.position': 'none'}) + \
    ggplot2.scale_x_continuous("Obama Vote Share") + \
    ggplot2.scale_y_continuous("Distance to nearest Railroad")
 
p_sub.plot(vp=vp_sub)

grdevices.dev_off()

示例#6

文件： graphics.py 项目： taiyun/rpy2-doc-zh_CN

              width = 612, height = 612, antialias="subpixel", type="cairo")
#-- ggplot2mtcars-begin
gp = ggplot2.ggplot(mtcars)

pp = gp + \
     ggplot2.aes_string(x='wt', y='mpg') + \
     ggplot2.geom_point()

pp.plot()
#-- ggplot2mtcars-end
grdevices.dev_off()

grdevices.png('../../_static/graphics_ggplot2geombin2d.png',
              width = 1000, height = 350, antialias="subpixel", type="cairo")
grid.newpage()
grid.viewport(layout=grid.layout(1, 3)).push()

vp = grid.viewport(**{'layout.pos.col':1, 'layout.pos.row': 1})
#-- ggplot2geombin2d-begin
gp = ggplot2.ggplot(dataf_rnorm)

pp = gp + \
     ggplot2.aes_string(x='value', y='other_value') + \
     ggplot2.geom_bin2d() + \
     ggplot2.opts(title =  'geom_bin2d')
pp.plot(vp = vp)
#-- ggplot2geombin2d-end

vp = grid.viewport(**{'layout.pos.col':2, 'layout.pos.row': 1})
#-- ggplot2geomdensity2d-begin
gp = ggplot2.ggplot(dataf_rnorm)

示例#7

文件： test.py 项目： sg1845/udacity

     ggplot2.scale_fill_gradient(high = 'blue', low = 'red') + \
     ggplot2.scale_fill_continuous(name = "Obama Vote Share") + \
     ggplot2.scale_colour_continuous(name = "Obama Vote Share") + \
     ggplot2.opts(**{'legend.position': 'left', 'legend.key.size': robjects.r.unit(2, 'lines'), 'legend.title' : ggplot2.theme_text(size = 14, hjust=0), \
                     'legend.text': ggplot2.theme_text(size = 12), 'title' : "Obama Vote Share and Distance to Railroads in IL", \
                     'plot.title': ggplot2.theme_text(size = 24), 'plot.margin': robjects.r.unit(robjects.r.rep(0,4),'lines'), \
                     'panel.background': ggplot2.theme_blank(), 'panel.grid.minor': ggplot2.theme_blank(), 'panel.grid.major': ggplot2.theme_blank(), \
                     'axis.ticks': ggplot2.theme_blank(), 'axis.title.x': ggplot2.theme_blank(), 'axis.title.y': ggplot2.theme_blank(), \
                     'axis.title.x': ggplot2.theme_blank(), 'axis.title.x': ggplot2.theme_blank(), 'axis.text.x': ggplot2.theme_blank(), \
                     'axis.text.y': ggplot2.theme_blank()} ) + \
     ggplot2.geom_line(ggplot2.aes(x='long', y='lat', group='group'), data=IL_railroads, color='grey', size=0.2) + \
     ggplot2.coord_equal()

p_map.plot()

## add the scatterplot
## define layout of subplot with viewports

vp_sub = grid.viewport(x=0.19, y=0.2, width=0.32, height=0.4)

p_sub = ggplot2.ggplot(RR_distance) + \
    ggplot2.aes_string(x = 'OBAMA_SHAR', y= 'NEAR_DIST') + \
    ggplot2.geom_point(ggplot2.aes(color='OBAMA_SHAR')) + \
    ggplot2.stat_smooth(color="black") + \
    ggplot2.opts(**{'legend.position': 'none'}) + \
    ggplot2.scale_x_continuous("Obama Vote Share") + \
    ggplot2.scale_y_continuous("Distance to nearest Railroad")

p_sub.plot(vp=vp_sub)

grdevices.dev_off()

示例#8

文件： r_plot.py 项目： yarden/biorpy

def r_grid(nrows, ncols):
    lt = grid.layout(nrows, ncols)
    vp = grid.viewport(layout = lt)
    vp.push()
    return vp