英文:
Plotnine: How to use geom_col and geom_text to display mean by group
问题
(ggplot(df, aes(x='inning', y='value', fill='team'))+ geom_col(stat='summary', position='dodge')+ geom_text(aes(label='stat(y)', group='team'), stat='summary', position=position_dodge(width=0.9), vjust=-0.5, size=8)+ scale_x_continuous(breaks=np.arange(1,10,1)))
英文:
I have a dataset that I am using geom_col to visualize using stat='summary'. I can't quite figure out how to use geom_text() to display the mean values. Here is the code and plot I am able to produce:
import pandas as pdimport numpy as npfrom plotnine import *df = pd.DataFrame({'team': {4: 'Tampa Bay Rays',8: 'Tampa Bay Rays',85: 'Tampa Bay Rays',89: 'Tampa Bay Rays',1277: 'League',1393: 'League',3544: 'League',3660: 'League'},'inning': {4: 1, 8: 1, 85: 2, 89: 2, 1277: 1, 1393: 1, 3544: 2, 3660: 2},'value': {4: 3.0,8: 1.0,85: 1.0,89: 0.0,1277: 2.0,1393: 0.0,3544: 2.0,3660: 0.0}})(ggplot(df, aes(x='inning', y='value', fill='team'))+ geom_col(stat='summary', position='dodge')+ scale_x_continuous(breaks=np.arange(1,10,1)))
I am looking to add these labels via geom_text():
Those labels are essentially the result of this code, which I was hoping to avoid, and just have plotnine calculate:
df[['team','inning','value']].groupby(['team','inning']).mean()
答案1
得分: 1
你需要给 geom_text 设置与 geom_col 相同的统计和位置设置。
df = pd.DataFrame({'team': {4: 'Tampa Bay Rays',8: 'Tampa Bay Rays',85: 'Tampa Bay Rays',89: 'Tampa Bay Rays',1277: 'League',1393: 'League',3544: 'League',3660: 'League'},'inning': {4: 1, 8: 1, 85: 2, 89: 2, 1277: 1, 1393: 1, 3544: 2, 3660: 2},'value': {4: 3.0,8: 1.0,85: 1.0,89: 0.0,1277: 2.0,1393: 0.0,3544: 2.0,3660: 0.0}})(ggplot(df, aes(x='inning', y='value', fill='team'))+ geom_col(stat='summary', position='dodge')+ geom_text(aes(label=after_stat("y"), color="team"),stat="summary",position=position_dodge(width=0.9),va="bottom")+ scale_x_continuous(breaks=np.arange(1,10,1))+ scale_color_discrete(l=.4))
英文:
You need to give geom_text the same statistics and position settings as geom_col.
df = pd.DataFrame({'team': {4: 'Tampa Bay Rays',8: 'Tampa Bay Rays',85: 'Tampa Bay Rays',89: 'Tampa Bay Rays',1277: 'League',1393: 'League',3544: 'League',3660: 'League'},'inning': {4: 1, 8: 1, 85: 2, 89: 2, 1277: 1, 1393: 1, 3544: 2, 3660: 2},'value': {4: 3.0,8: 1.0,85: 1.0,89: 0.0,1277: 2.0,1393: 0.0,3544: 2.0,3660: 0.0}})(ggplot(df, aes(x='inning', y='value', fill='team'))+ geom_col(stat='summary', position='dodge')+ geom_text(aes(label=after_stat("y"), color="team"),stat="summary",position=position_dodge(width=0.9),va="bottom")+ scale_x_continuous(breaks=np.arange(1,10,1))+ scale_color_discrete(l=.4))
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