离散x轴在积木中的逆序

如何解决离散x轴在积木中的逆序

在python中，我试图颠倒x轴的顺序，以使2015位于最左边，而2019位于右边。我的目标是在我coord_flip（）绘制之后将2019置于底部。参见here。

我尝试使用scale_x_reverse，但它不支持离散轴。还有其他建议吗？

ggplot(df4) + geom_bar(aes(x='fiscal_year',y='prime_awarded_value',fill='color_of_money'),stat = 'identity',size=5,alpha=.8)\
+ scale_fill_manual(values=("#AED6F1","#96ceb4","#BFC9CA","#aa6f73"))\
+ labs(title="Color of Money by Fiscal Year",x='Fiscal Year',y='Total Prime Obligations',fill='Color of Money')\
+ scale_y_continuous(breaks=(0,50000000000,100000000000,150000000000,200000000000,250000000000,300000000000,350000000000),labels=('0','$50B','$100B','$1500B','$2000B','$250B','$300B','$350B'),limits=(0,150000000000))\
+ geom_text(aes(x='fiscal_year',fill = 'color_of_money',label='money',angle=30),size=16,position = position_stack(vjust = .5))\
+ theme(figure_size=(20,10),\
        
        #axis_text = element_text(margin={'t':5,'r':5,'l':5,'b':40}),\
        axis_text_x=element_text( hjust=.5,vjust=1,size=14,color ='black',face = 'plain'),\
        axis_text_y=element_text(angle=30,hjust=1,vjust=.5,\
        axis_title = element_text(size = 24,face = "bold"),\
        
        #axis_ticks =element_blank(),\
        axis_ticks_length = 5,\
        axis_ticks_pad = 35,\
    
        legend_text = element_text(size =16),\
        legend_title = element_text(size =18,face = "bold",color = "black",vjust=0),\
        legend_position=(.267,.93),legend_direction='horizontal',\
        legend_Box_margin=10,\
        legend_entry_spacing=10,\
        legend_background=element_rect(color="grey",size=2,fill='white'),\
    
        plot_title = element_text(size = 24,weight = 'bold',lineheight=7),\
        #plot_background = element_rect(fill='#D4DBDB'),\
        panel_background = element_rect(fill = "white",color= "grey"),\
        panel_border = element_rect(size = 2),\
        panel_grid_major_y =  element_line(colour = "grey",linetype = "solid",size = .3))

解决方法

使用类别列，并按照所需的方式设置类别的顺序。

df4['fiscal_year'] = pd.Categorical(df4['fiscal_year'],categories=[2019,2018,2017,2016,2015],ordered=True)