如何将标签放在饼图外面以便标签放在适当的位置?
declare var jQuery: any;
import {AfterViewInit, Component, ElementRef, OnInit, ViewChild} from '@angular/core';
import {Marker} from '../../classes/marker';
import {LocalStorage, LocalStorageService} from 'ngx-webstorage';
@Component({
selector: 'app-overview',
templateUrl: './overview.component.html'
})
export class OverviewComponent implements OnInit, AfterViewInit {
markerCombustion: Marker[] = [...];
@ViewChild('hiddenInput1') hiddenInput1: ElementRef;
@LocalStorage('frame') public frame: number;
frameRaw: any;
constructor(private storage: LocalStorageService) {
}
ngOnInit() {
this.storage.observe('frame')
.subscribe((newValue) => {
console.log(newValue);
});
}
ngAfterViewInit() {
jQuery(this.hiddenInput1.nativeElement).on('change', (e) => {
this.frameRaw = this.getFrame();
console.log('test');
this.frame = this.storage.retrieve('frame');
});
}
getFrame() {
}
updateLS() {
this.storage.store('frame', 20);
}
}
答案 0 :(得分:7)
使用:
library(dplyr)
df <- df %>%
mutate(end = 2 * pi * cumsum(Value)/sum(Value),
start = lag(end, default = 0),
middle = 0.5 * (start + end),
hjust = ifelse(middle > pi, 1, 0),
vjust = ifelse(middle < pi/2 | middle > 3 * pi/2, 0, 1))
library(ggforce) # for 'geom_arc_bar'
ggplot(df) +
geom_arc_bar(aes(x0 = 0, y0 = 0, r0 = 0, r = 1,
start = start, end = end, fill = Product)) +
geom_text(aes(x = 1.05 * sin(middle), y = 1.05 * cos(middle), label = Label,
hjust = hjust, vjust = vjust)) +
coord_fixed() +
scale_x_continuous(limits = c(-1.5, 1.4), # Adjust so labels are not cut off
name = "", breaks = NULL, labels = NULL) +
scale_y_continuous(limits = c(-1, 1), # Adjust so labels are not cut off
name = "", breaks = NULL, labels = NULL)
给出:
答案 1 :(得分:2)
我试图在@Jaap 的代码中包含产品 1 的标签。我在 geom_text 中更改了 x 和 y 值并且它起作用了。代码中的其他所有内容都相同。
geom_text(aes(x = 1 * sin(middle), y = 1 * cos(middle), label = Label,
hjust = hjust, vjust = vjust))
答案 2 :(得分:1)
除了@Jaap的解决方案之外,还可以将theme
和scale_y_continuous
添加到基本情节p
。
p <- ggplot(df,aes(x=1,y=Value,fill=Product))+geom_bar(stat="identity", color = "black")
p <- p + coord_polar(theta='y')+ theme(axis.ticks=element_blank(),
axis.text.y=element_blank(),
axis.text.x=element_text(colour='black'),
axis.title=element_blank())
p <- p + scale_y_continuous(breaks=cumsum(df$Value) - df$Value / 2, labels= df$Label)