R绘图适配:所有相关列值为0时触发指定绘图逻辑的实现问题
问题说明
现有代码可根据date2中选择的日期和指定分类生成图表,可选日期为2021年6月30日、2021年7月1日、2021年7月2日。选择前两个日期时图表可正常生成,选择2021年7月2日时无法正常绘图,原因是该日期下所有DR开头的列值均为0,导致datas对象处理出错。需要调整逻辑:当所有相关列值均为0时,触发如下判断分支,使图表仅展示m对应的水平线,无数据点:
if (nrow(datas)<=2){ abline(h=m,lwd=2) points(0, m, col = "red", pch = 19, cex = 2, xpd = TRUE) text(.1,m+ .5, round(m,1), cex=1.1,pos=4,offset =1,col="black")}
修复后完整可执行代码
library(dplyr) library(lubridate) library(tidyr) library(readr) df1 <- structure( list(date1= c("2021-06-28","2021-06-28","2021-06-28"), date2 = c("2021-06-30","2021-07-01","2021-07-02"), Category = c("ABC","ABC","ABC"), Week= c("Wednesday","Wednesday","Wednesday"), DR1 = c(4,1,0), DR01 = c(4,1,0), DR02= c(4,2,0),DR03= c(9,5,0), DR04 = c(5,4,0),DR05 = c(5,4,0)), class = "data.frame", row.names = c(NA, -3L)) f1 <- function(dmda, CategoryChosse) { x<-df1 %>% select(starts_with("DR0")) x<-cbind(df1, setNames(df1$DR1 - x, paste0(names(x), "_PV"))) PV<-select(x, date2,Week, Category, DR1, ends_with("PV")) med<-PV %>% group_by(Category,Week) %>% summarize(across(ends_with("PV"), median)) SPV<-df1% inner_join(med, by = c('Category', 'Week')) %>% mutate(across(matches("^DR0\\d+$"), ~.x + get(paste0(cur_column(), '_PV')), .names = '{col}_{col}_PV')) %>% select(date1:Category, DR01_DR01_PV:last_col()) SPV<-data.frame(SPV) mat1 <- df1 %>% filter(date2 == dmda, Category == CategoryChosse) %>% select(starts_with("DR0")) %>% pivot_longer(cols = everything()) %>% arrange(desc(row_number())) %>% mutate(cs = cumsum(value)) %>% filter(cs == 0) %>% pull(name) (dropnames <- paste0(mat1,"_",mat1, "_PV")) SPV <- SPV %>% filter(date2 == dmda, Category == CategoryChosse) %>% select(-any_of(dropnames)) # 新增异常处理:所有DR列值为0时直接触发目标分支 if(length(grep("DR0", names(SPV))) == 0) { m<-df1 %>% group_by(Category,Week) %>% summarize(across(starts_with("DR1"), mean)) m<-subset(m, Week == df1$Week[match(ymd(dmda), ymd(df1$date2))] & Category == CategoryChosse)$DR1 plot(0, 0, type = "n", xlim= c(0,45), ylim= c(0,30), xaxs='i',main = paste0(dmda, "-", CategoryChosse), xlab = "Days", ylab = "Numbers") abline(h=m,lwd=2) points(0, m, col = "red", pch = 19, cex = 2, xpd = TRUE) text(.1,m+ .5, round(m,1), cex=1.1,pos=4,offset =1,col="black") return(invisible()) } datas<-SPV %>% filter(date2 == ymd(dmda)) %>% group_by(Category) %>% summarize(across(starts_with("DR0"), sum)) %>% pivot_longer(cols= -Category, names_pattern = "DR0(.+)", values_to = "val") %>% mutate(name = readr::parse_number(name)) colnames(datas)[-1]<-c("Days","Numbers") datas <- datas %>% group_by(Category) %>% slice((as.Date(dmda) - min(as.Date(df1$date1) [ df1$Category == first(Category)])):max(Days)+1) %>% ungroup plot(Numbers ~ Days, xlim= c(0,45), ylim= c(0,30), xaxs='i',data = datas,main = paste0(dmda, "-", CategoryChosse)) m<-df1 %>% group_by(Category,Week) %>% summarize(across(starts_with("DR1"), mean)) m<-subset(m, Week == df1$Week[match(ymd(dmda), ymd(df1$date2))] & Category == CategoryChosse)$DR1 if (nrow(datas)<=2){ abline(h=m,lwd=2) points(0, m, col = "red", pch = 19, cex = 2, xpd = TRUE) text(.1,m+ .5, round(m,1), cex=1.1,pos=4,offset =1,col="black")} else if(any(table(datas$Numbers) >= 3) & length(unique(datas$Numbers)) == 1){ yz <- unique(datas$Numbers) lines(c(0,datas$Days), c(yz, datas$Numbers), lwd = 2) points(0, yz, col = "red", pch = 19, cex = 2, xpd = TRUE) text(.1,yz+ .5,round(yz,1), cex=1.1,pos=4,offset =1,col="black")} else{ mod <- nls(Numbers ~ b1*Days^2+b2,start = list(b1 = 0,b2 = 0),data = datas, algorithm = "port") new.data <- data.frame(Days = with(datas, seq(min(Days),max(Days),len = 45))) new.data <- rbind(0, new.data) lines(new.data$Days,predict(mod,newdata = new.data),lwd=2) coef<-coef(mod)[2] points(0, coef, col="red",pch=19,cex = 2,xpd=TRUE) text(.99,coef + 1,max(0, round(coef,1)), cex=1.1,pos=4,offset =1,col="black") } } f1("2021-06-30", "ABC") f1("2021-07-01", "ABC") f1("2021-07-02", "ABC")
正常绘图效果参考


内容的提问来源于stack exchange,提问作者user16774617
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