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Copy pathggplotSample.py
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34 lines (25 loc) · 1.24 KB
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# -*- coding:utf-8 -*-
# 准备数据
import ggplot as gp # 不太喜欢import *
import pandas as pd
meat = gp.meat
p=gp.ggplot(gp.aes(x='date',y='beef'),data=meat)+gp.geom_point(color='red')+gp.ggtitle(u'散点图')
print (p)
p=gp.ggplot(gp.aes(x='date',y='beef'),data=meat)+gp.geom_line(color='blue')+gp.ggtitle(u'折线图')
print (p)
p=gp.ggplot(gp.aes(x='date',y='beef'),data=meat)+gp.geom_point(color='red')+gp.geom_line(color='blue')+gp.ggtitle(u'散点图+折线图')
print (p)
# 将想要表达的变量组成一列
meat_lng = pd.melt(meat[['date','beef','pork','broilers']],id_vars='date')
# meat_lng包含了date,value（变量的值组成的列）,variable（变量的名称组成的列）
p = gp.ggplot(gp.aes(x='date',y='value',colour='variable'),data=meat_lng)+\
gp.geom_point()+gp.geom_line()
print (p)
meat_lng = pd.melt(meat[['date','beef','pork','broilers']],id_vars='date')
p = gp.ggplot(gp.aes(x='date',y='value',colour='variable'),data=meat_lng)+gp.geom_point()+gp.facet_wrap('variable')
print (p)
p = gp.ggplot(gp.aes(x='beef'),data=meat)+gp.geom_histogram()
print (p)
meat_lng = pd.melt(meat[['date','beef','pork']],id_vars='date')
p = gp.ggplot(gp.aes(x='value'),data=meat_lng)+gp.facet_wrap('variable')+gp.geom_histogram()
print (p)