Python geom_freqpoly 예제들

예제 #1

파일: histogram.py 프로젝트: sebastian-nagel/cc-crawl-statistics

 def plot_host_domain_tld(self):
     # -- pages/URLs per host / domain / tld
     data = self.histogr
     data = data[data['type'].isin(['host', 'domain', 'tld'])]
     data = data[data['type_counted'].isin(['url'])]
     img_path = os.path.join(PLOTDIR, 'crawler/histogr_host_domain_tld.png')
     # data.to_csv(img_path + '.csv')
     title = 'URLs per Host / Domain / TLD'
     p = ggplot2.ggplot(data) \
         + ggplot2.aes_string(x='count', weight='frequency', color='type') \
         + ggplot2.geom_freqpoly(bins=20) \
         + ggplot2.facet_wrap('crawl', ncol=4) \
         + ggplot2.labs(title='', x=title,
                        y='Frequency') \
         + ggplot2.scale_y_log10() \
         + ggplot2.scale_x_log10()
     p.save(img_path)
     return p

예제 #2

파일: histogram.py 프로젝트: commoncrawl/cc-crawl-statistics

 def plot_host_domain_tld(self):
     # -- pages/URLs per host / domain / tld
     data = self.histogr
     data = data[data['type'].isin(['host', 'domain', 'tld'])]
     data = data[data['type_counted'].isin(['url'])]
     img_path = os.path.join(PLOTDIR,
                             'crawler/histogr_host_domain_tld.png')
     # data.to_csv(img_path + '.csv')
     title = 'URLs per Host / Domain / TLD'
     p = ggplot2.ggplot(data) \
         + ggplot2.aes_string(x='count', weight='frequency', color='type') \
         + ggplot2.geom_freqpoly(bins=20) \
         + ggplot2.facet_wrap('crawl', ncol=4) \
         + ggplot2.labs(title='', x=title,
                        y='Frequency') \
         + ggplot2.scale_y_log10() \
         + ggplot2.scale_x_log10()
     p.save(img_path)
     return p

예제 #3

파일: graphics.py 프로젝트: realmichaelzyy/cs249-2

grdevices.dev_off()

grdevices.png('../../_static/graphics_ggplot2geomfreqpolyfillcyl.png',
              width=812,
              height=412,
              antialias="subpixel",
              type="cairo")
grid.newpage()
grid.viewport(layout=grid.layout(1, 2)).push()

gp = ggplot2.ggplot(dataf_rnorm)

vp = grid.viewport(**{'layout.pos.col': 1, 'layout.pos.row': 1})
pp = gp + \
     ggplot2.aes_string(x='value', col='factor(mean)') + \
     ggplot2.geom_freqpoly()
pp.plot(vp=vp)

vp = grid.viewport(**{'layout.pos.col': 2, 'layout.pos.row': 1})
#-- ggplot2geomfreqpolyfillcyl-begin
pp = gp + \
     ggplot2.aes_string(x='value', fill='factor(mean)') + \
     ggplot2.geom_density(alpha = 0.5)
#-- ggplot2geomfreqpolyfillcyl-end
pp.plot(vp=vp)

grdevices.dev_off()

grdevices.png('../../_static/graphics_ggplot2geompointandrug.png',
              width=612,
              height=612,

예제 #4

파일: graphics.py 프로젝트: taiyun/rpy2-doc-zh_CN

pp.plot()
#-- ggplot2geompointdensity2d-end
grdevices.dev_off()


grdevices.png('../../_static/graphics_ggplot2geomfreqpolyfillcyl.png',
              width = 812, height = 412, antialias="subpixel", type="cairo")
grid.newpage()
grid.viewport(layout=grid.layout(1, 2)).push()

gp = ggplot2.ggplot(dataf_rnorm)

vp = grid.viewport(**{'layout.pos.col':1, 'layout.pos.row': 1})
pp = gp + \
     ggplot2.aes_string(x='value', col='factor(mean)') + \
     ggplot2.geom_freqpoly()
pp.plot(vp = vp)

vp = grid.viewport(**{'layout.pos.col':2, 'layout.pos.row': 1})
#-- ggplot2geomfreqpolyfillcyl-begin
pp = gp + \
     ggplot2.aes_string(x='value', fill='factor(mean)') + \
     ggplot2.geom_density(alpha = 0.5)
#-- ggplot2geomfreqpolyfillcyl-end
pp.plot(vp = vp)

grdevices.dev_off()



grdevices.png('../../_static/graphics_ggplot2geompointandrug.png',