我的目的是在相同的绘图区域中创建2个折线图,但是1个应该是静态的(始终显示),而另一个动画的(只要用户单击“播放”按钮就可以立即显示)提供)。概念是我们有一个始终显示实际值的折线图,而动画的将是拟合的观测值,显示它们与实际线的拟合程度。
到目前为止,我已经实现了以动画方式创建两条线,但是,如前所述,我希望将Type=="Actuals"
的观测值设为静态,而将其他观测值(Type=="Fitted"
)设为动画。请在下面参考我当前的脚本。
初始工作数据框为data2
,它将实际值和拟合值保持统一;列为RequCreatedFull-Date(as POSIXct), Requs_Qnt_pm(as num), Type(as Factor-indicates whether the record refers to 'actual' or 'fitted' observation), date(as num)
,其中
date=(year(RequCreatedFull_Date)+(month(RequCreatedFull_Date)-1)/12)
。
library(plotly)
library(dplyr)
library(lubridate)
#function definition for to be framed variable manipulation
accumulate_by <- function(dat, var) {
var <- lazyeval::f_eval(var, dat)
lvls <- plotly:::getLevels(var)
dats <- lapply(seq_along(lvls), function(x) {
cbind(dat[var %in% lvls[seq(1, x)], ], frame = lvls[[x]])
})
dplyr::bind_rows(dats)
}
#creation of to-be-used for framing variable
data2mod <- data2 %>%
accumulate_by(~date)
#graph creation
my_graph<-data2mod %>%
plot_ly(
x = ~date,
y = ~Requs_Qnt_pm,
split = ~Type,
frame = ~frame,
type = 'scatter',
mode = 'lines',
line = list(simplyfy = F)
) %>%
layout(
xaxis = list(
title = "x axis title",
zeroline = F
),
yaxis = list(
title = "y axis title",
zeroline = F
)
) %>%
animation_opts(
frame = 100,
transition = 0,
redraw = FALSE
) %>%
animation_slider(
hide = T
) %>%
animation_button(
x = 1, xanchor = "right", y = 0, yanchor = "bottom"
)
更新:
data2
表
#preparing 2 data tables for the plot (got to be merged with new Type var indicating actuals and fit observations)
agg_acts_rags_rf_ama2<-data.frame(agg_acts_rags_rf_ama, Type="Actuals", date=year(agg_acts_rags_rf_ama$RequCreatedFull_Date)+(month(agg_acts_rags_rf_ama$RequCreatedFull_Date)-1)/12)
agg_fits_rags_rf_ama2<-data.frame(agg_fits_rags_rf_ama, Type="Fitted", date=year(agg_fits_rags_rf_ama$RequCreatedFull_Date)+(month(agg_fits_rags_rf_ama$RequCreatedFull_Date)-1)/12)
names(agg_acts_rags_rf_ama2)[2]<-"Requs_Qnt_pm"
names(agg_fits_rags_rf_ama2)[2]<-"Requs_Qnt_pm"
#unifying the tables
data2<-rbind(agg_acts_rags_rf_ama2, agg_fits_rags_rf_ama2)
agg_acts_rags_rf_ama
和agg_fits_rags_rf_ama
仅包含2列,RequCreatedFull_Date
和数量列