如何更改先知情节中的线条类型?

How to change type of line in prophet plot?

Facebook 的 Prophet in R(还有一个 Python 版本)用于生成时间序列预测。

模型 m 创建者:

m <- prophet(df)
future <- make_future_dataframe(m, periods = 365)
forecast <- predict(m, future)
plot(m, forecast)

其中 returns 格式非常漂亮的图形,例如:

我想更改线型,不是点而是普通的细线。

我试过这个

lines(m$history$y,lty=1)

但是出现错误

 In doTryCatch(return(expr), name, parentenv, handler)

有没有关于如何将这些点转换成线的建议?

prophet 对象的 plot 方法使用 ggplot2,因此像 lines() 这样的基本 R 图形函数将不起作用。您可以使用 ggplot2::geom_line()add 行,但目前我没有看到一种简单的方法来 replace 点...

示例来自 ?prophet

history <- data.frame(ds = seq(as.Date('2015-01-01'), as.Date('2016-01-01'), by = 'd'),
                           y = sin(1:366/200) + rnorm(366)/10)
     m <- prophet(history)
future <- make_future_dataframe(m, periods = 365)
forecast <- predict(m, future)
pp <- plot(m,forecast)

添加行:

library(ggplot2)
pp + geom_line()

This question 提供了一个(hacky)前进的方向:

pp2 <- pp + geom_line()
qq2 <- ggplot_build(pp2)
qq2$data[[2]]$colour <- NA
plot(ggplot_gtable(qq2))

但很明显黑客出了问题。更好的选择是查看 plot 方法(prophet:::plot.prophet)并将其修改为您想要的行为......这是基本版本:

df <- prophet:::df_for_plotting(m, forecast)
gg <-ggplot(df, aes(x = ds, y = y)) + labs(x = "ds", y = "y")
gg <- gg + geom_ribbon(ggplot2::aes(ymin = yhat_lower, 
        ymax = yhat_upper), alpha = 0.2, fill = "#0072B2", 
        na.rm = TRUE)
## replace first geom_point() with geom_line() in next line ...
gg <- gg + geom_line(na.rm = TRUE) + geom_line(aes(y = yhat), 
    color = "#0072B2", na.rm = TRUE) + theme(aspect.ratio = 3/5)

我可能已经删除了您 data/forecast 中存在的一些组件,但是...

可以使用 dyplot.prophet(m, forecast)(html 版本的情节)进行此类操作 :) 在此之前,我们应该像这里一样重写函数:

dyplot.prophet <- function(x, fcst, uncertainty=TRUE, 
                           ...) 
{
  forecast.label='Predicted'
  actual.label='Actual'
  # create data.frame for plotting
  df <- prophet:::df_for_plotting(x, fcst)

  # build variables to include, or not, the uncertainty data
  if(uncertainty && exists("yhat_lower", where = df))
  {
    colsToKeep <- c('y', 'yhat', 'yhat_lower', 'yhat_upper')
    forecastCols <- c('yhat_lower', 'yhat', 'yhat_upper')
  } else
  {
    colsToKeep <- c('y', 'yhat')
    forecastCols <- c('yhat')
  }
  # convert to xts for easier date handling by dygraph
  dfTS <- xts::xts(df %>% dplyr::select_(.dots=colsToKeep), order.by = df$ds)

  # base plot
  dyBase <- dygraphs::dygraph(dfTS)

  presAnnotation <- function(dygraph, x, text) {
    dygraph %>%
      dygraphs::dyAnnotation(x, text, text, attachAtBottom = TRUE)
  }

  dyBase <- dyBase %>%
    # plot actual values
    dygraphs::dySeries(
      'y', label=actual.label, color='black',stepPlot = TRUE, strokeWidth=1
    ) %>%
    # plot forecast and ribbon
    dygraphs::dySeries(forecastCols, label=forecast.label, color='blue') %>%
    # allow zooming
    dygraphs::dyRangeSelector() %>% 
    # make unzoom button
    dygraphs::dyUnzoom()
  if (!is.null(x$holidays)) {
    for (i in 1:nrow(x$holidays)) {
      # make a gray line
      dyBase <- dyBase %>% dygraphs::dyEvent(
        x$holidays$ds[i],color = "rgb(200,200,200)", strokePattern = "solid")
      dyBase <- dyBase %>% dygraphs::dyAnnotation(
        x$holidays$ds[i], x$holidays$holiday[i], x$holidays$holiday[i],
        attachAtBottom = TRUE)
    }
  }
  return(dyBase)
}

之前的strokeWidth=0,我们已经将其更改为strokeWidth=1并添加了stepPlot = TRUE

整个基础代码位于此处:https://rdrr.io/cran/prophet/src/R/plot.R