python 可视化包-plotnine

plotnine

CSDN的编辑和上传图片体验太差，更多的例子到plot-example里去看。

https://github.com/has2k1/plotnine-examples

安装

• 官网：https://plotnine.readthedocs.io/en/stable/index.html
• github：https://github.com/has2k1/plotnine
• ggplot2官网：http://ggplot2.tidyverse.org/reference/index.html#section-plot-basics

conda install -c conda-forge plotnine

## 使用

import pandas as pdimport numpy as npfrom plotnine import * from plotnine.data import *mpg.head(2)

Unnamed: 0 manufacturer model displ year cyl trans drv cty hwy fl class 0 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact 1 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact

基础图形

参考R for Data Science：http://r4ds.had.co.nz/data-visualisation.html 中的Data visualisation

散点图

# R 写法# (ggplot(data = mpg) + #  geom_point(mapping = aes(x = displ, y = hwy)))# plotnine写法(ggplot(mpg,aes('displ','hwy'))+geom_point())

# ggplot(data = mpg) + #  geom_point(mapping = aes(x = displ, y = hwy, color = class))(ggplot(mpg,aes('displ','hwy',color='class'))+geom_point())

#ggplot(data = mpg) + #  geom_point(mapping = aes(x = displ, y = hwy, size = class))(ggplot(mpg,aes('displ','hwy',size='class'))+geom_point())

# 透明度# ggplot(data = mpg) + #  geom_point(mapping = aes(x = displ, y = hwy, alpha = class)))(ggplot(mpg,aes('displ','hwy',alpha='class'))+geom_point())

<ggplot: (143520728433)>

# 不同性状#ggplot(data = mpg) + #  geom_point(mapping = aes(x = displ, y = hwy, shape = class))(ggplot(mpg,aes('displ','hwy',shape='class'))+geom_point())

<ggplot: (143521318874)>

#ggplot(data = mpg) + #  geom_point(mapping = aes(x = displ, y = hwy), color = "blue")(ggplot(mpg,aes('displ','hwy')) +geom_point(color='blue'))

<ggplot: (-9223371893333956145)>

面板图

#ggplot(data = mpg) + #  geom_point(mapping = aes(x = displ, y = hwy)) + #  facet_wrap(~ class, nrow = 2)(ggplot(mpg,aes('displ','hwy')) +geom_point() +facet_wrap('~ class', nrow = 2))

<ggplot: (-9223371893333857329)>

#ggplot(data = mpg) + #  geom_point(mapping = aes(x = displ, y = hwy)) + #  facet_grid(drv ~ cyl)(ggplot(mpg,aes('displ','hwy')) +geom_point() +facet_wrap('~ drv + cyl'))

<ggplot: (-9223371893334132974)>

拟合曲线

还有一些问题

#ggplot(data = mpg) + #  geom_smooth(mapping = aes(x = displ, y = hwy))(ggplot(mpg,aes('displ','hwy')) +geom_point() +geom_smooth(mapping=aes('displ','hwy')))

D:\Anaconda3\lib\site-packages\plotnine\stats\smoothers.py:150: UserWarning: Confidence intervals are not yet implementedfor lowess smoothings.  warnings.warn("Confidence intervals are not yet implemented"

<ggplot: (143520360694)>

柱状图

#ggplot(data = diamonds) + #  geom_bar(mapping = aes(x = cut))(ggplot(mpg) +geom_bar(mapping=aes('displ')))

<ggplot: (-9223371893334758340)>

(ggplot(mpg) +stat_count(mapping=aes('displ')))

<ggplot: (143521000803)>

(ggplot(data = mpg) +   geom_bar(mapping = aes('displ', fill = 'class'),position='fill'))

D:\Anaconda3\lib\site-packages\plotnine\positions\position.py:194: UserWarning: position_fill requires non-overlapping x intervals  warn(msg.format(cls.__name__))

<ggplot: (-9223371893334407676)>

(ggplot(data = mpg) +   geom_bar(mapping = aes('displ', fill = 'class'),position='dodge'))

D:\Anaconda3\lib\site-packages\plotnine\positions\position.py:194: UserWarning: position_dodge requires non-overlapping x intervals  warn(msg.format(cls.__name__))

<ggplot: (-9223371893333687145)>

(ggplot(mpg) +   geom_point(mapping = aes('displ', 'hwy'), position = "jitter"))

<ggplot: (143521035633)>

箱线图

(ggplot(mpg,aes('class','hwy')) +   geom_boxplot())

<ggplot: (143521206683)>

#ggplot(data = mpg, mapping = aes(x = class, y = hwy)) + #  geom_boxplot() +#  coord_flip()(ggplot(mpg,aes('class','hwy'))  + geom_boxplot() + coord_flip())

<ggplot: (-9223371893333525721)>

# bar <- ggplot(data = diamonds) + #  geom_bar(#    mapping = aes(x = cut, fill = cut), #    show.legend = FALSE,#    width = 1#  ) + #  theme(aspect.ratio = 1) +#  labs(x = NULL, y = NULL)# bar + coord_flip()# bar + coord_polar()(ggplot(mpg)  + geom_bar(mapping=aes('class',fill='class')) + coord_flip())

<ggplot: (-9223371893333735999)>