我有一个数据框,我正在尝试使用plotly作为多条折线图进行绘制。下面是该数据框的外观:
Month_considered pct.x pct.y pct
<fct> <dbl> <dbl> <dbl>
1 Apr-17 79.0 18.4 2.61
2 May-17 78.9 18.1 2.99
3 Jun-17 77.9 18.7 3.42
4 Jul-17 77.6 18.5 3.84
5 Aug-17 78.0 18.3 3.70
6 Sep-17 78.0 18.9 3.16
7 Oct-17 77.6 18.9 3.49
8 Nov-17 77.6 18.4 4.01
9 Dec-17 78.5 18.0 3.46
10 Jan-18 79.3 18.4 2.31
11 2/1/18 78.9 19.6 1.48
当我遍历以绘制多条线时,下面是使用的代码。
colNames <- colnames(delta)
p <-
plot_ly(
atc_seg_master,
x = ~ Month_considered,
type = 'scatter',
mode = 'line+markers',
line = list(color = 'rgb(205, 12, 24)', width = 4)
)
for (trace in colNames) {
p <-
p %>% plotly::add_trace(y = as.formula(paste0("~`", trace, "`")), name = trace)
}
p %>%
layout(
title = "Trend Over Time",
xaxis = list(title = ""),
yaxis = list (title = "Monthly Count of Products Sold")
)
p
我的问题是如何从图表中删除trace 0
和month_considered
,以将其从图表中删除,即使它不在我循环添加线的同名中。
答案 0 :(得分:0)
您似乎被两件事绊倒了:
p
并包含data
和x
参数时,将创建一个跟踪-trace 0
。您只需使用p <- plot_ly()
以及任何所需的布局特征就可以定义图而无需提供任何数据或x值。Month_Considered
是集合的一部分。您可以通过使用setdiff()
(基R的一部分)来创建一个向量,以将Months_Considered
将这两件事放在一起,一种方法(很多可能)来完成您要的工作,如下所示:
library(plotly)
df <- data.frame(Month_Considered = seq.Date(from = as.Date("2017-01-01"), by = "months", length.out = 12),
pct.x = seq(from = 70, to = 80, length.out = 12),
pct.y = seq(from = 30, to = 40, length.out = 12),
pct = seq(from = 10, to = 20, length.out = 12))
## Define a blank plot with the desired layout (don't add any traces yet)
p <- plot_ly()%>%
layout(title = "Trend Over Time",
xaxis = list(title = ""),
yaxis = list (title = "Monthly Count of Products Sold") )
## Make sure our list of columns to add doesnt include the Month Considered
ToAdd <- setdiff(colnames(df),"Month_Considered")
## Add the traces one at a time
for(i in ToAdd){
p <- p %>% add_trace(x = df[["Month_Considered"]], y = df[[i]], name = i,
type = 'scatter',
mode = 'line+markers',
line = list(color = 'rgb(205, 12, 24)', width = 4))
}
p