def test_theme_xkcd(self):
p = self.g + labs(title='Theme Xkcd') + theme_xkcd()
if os.environ.get('TRAVIS'):
# Travis does not have the fonts, we still check
# to catch any other errors
assert p + _theme != 'theme_gray'
else:
assert p + _theme == 'theme_xkcd'
def test_theme_xkcd(self):
p = self.g + labs(title='Theme Xkcd') + theme_xkcd()
if os.environ.get('TRAVIS'):
# Travis does not have the fonts, we still check
# to catch any other errors
assert p + _theme != 'theme_gray'
else:
assert p + _theme == 'theme_xkcd'
def plot_pixel_values(im):
plotr = pd.DataFrame(
{'values': im.flatten()},
index=range(len(im.flatten()))
)
return (
p9.ggplot()
+ p9.geom_histogram(data=plotr, mapping=p9.aes('values'))
+ p9.theme_xkcd()
+ p9.labels.xlab('Pixel values')
)
def test_theme_xkcd(self):
p = (
self.g + labs(title='Theme Xkcd') + theme_xkcd()
# High likely hood of Comic Sans being available
+ theme(text=element_text(family=['Comic Sans MS'])))
if os.environ.get('TRAVIS'):
# Travis does not have the fonts, we still check
# to catch any other errors
assert p + _theme != 'theme_gray'
else:
assert p + _theme == 'theme_xkcd'
def test_dpi_theme_xkcd(self):
fn1 = next(filename_gen)
fn2 = next(filename_gen)
df = pd.DataFrame({'x': range(4), 'y': range(4), 'b': list('aabb')})
p = (ggplot(df) + geom_point(aes('x', 'y')) + facet_wrap('b') +
theme_xkcd())
p.save(fn1, verbose=False)
assert_exist_and_clean(fn1, "Saving with theme_xkcd and dpi (1)")
p.save(fn2, dpi=72, verbose=False)
assert_exist_and_clean(fn2, "Saving with theme_xkcd and dpi (2)")
from plotnine import (ggplot, aes, geom_point, facet_wrap, stat_smooth,
theme_xkcd)
from plotnine.data import mtcars
kwargs = dict(width=6, height=4)
p1 = (ggplot(mtcars, aes('wt', 'mpg')) + geom_point())
p1.save('readme-image-1.png', **kwargs)
p2 = p1 + aes(color='factor(gear)')
p2.save('readme-image-2.png', **kwargs)
p3 = p2 + stat_smooth(method='lm')
p3.save('readme-image-3.png', **kwargs)
p4 = p3 + facet_wrap('~gear')
p4.save('readme-image-4.png', **kwargs)
p5 = p4 + theme_xkcd()
p5.save('readme-image-5.png', **kwargs)
from plotnine import (ggplot, aes, geom_point, facet_wrap,
stat_smooth, theme_xkcd)
from plotnine.data import mtcars
kwargs = dict(width=6, height=4)
p1 = (ggplot(mtcars, aes('wt', 'mpg'))
+ geom_point())
p1.save('readme-image-1.png', **kwargs)
p2 = p1 + aes(color='factor(gear)')
p2.save('readme-image-2.png', **kwargs)
p3 = p2 + stat_smooth(method='lm')
p3.save('readme-image-3.png', **kwargs)
p4 = p3 + facet_wrap('~gear')
p4.save('readme-image-4.png', **kwargs)
p5 = p4 + theme_xkcd()
p5.save('readme-image-5.png', **kwargs)