Question

我试图在R中用绘图库绘制时间序列箱图，但是我需要能够完全控制ymin，ymax，ylow等。

它在ggplot2中完全没问题，并且有很多警告。它无法在ggplotly中呈现

这就是我所拥有的。

msft = read.csv("http://ichart.finance.yahoo.com/table.csv?s=MSFT", 
            header=TRUE, 
            sep=",")
msft$Date
msftF = msft %>% tbl_df() %>% filter(as.Date(Date) > as.Date("2016-01-01"))     %>% na.omit()
msftF %>%
  ggplot(aes(x = factor(Date), ymin = Low, lower = Open, middle = Close,     upper = Close, ymax = High)) +
  geom_boxplot() +
  geom_boxplot(stat = "identity")

Answer 1

@David Crook这是一个简单的例子。

library(plotly)
library(quantmod)

prices <- getSymbols("MSFT", auto.assign = F)
prices <- prices[index(prices) >= "2016-01-01"]

# Make dataframe
prices <- data.frame(time = index(prices),
                     open = as.numeric(prices[,1]),
                     high = as.numeric(prices[,2]),
                     low = as.numeric(prices[,3]),
                     close = as.numeric(prices[,4]))

# Blank plot
p <- plot_ly()

# Add high / low as a line segment
# Add open close as a separate segment
for(i in 1:nrow(prices)){
  p <- add_trace(p, data = prices[i,], x = c(time, time), y = c(high, low), mode = "lines", evaluate = T,
                 showlegend = F,
                 marker = list(color = "grey"),
                 line = list(width = 1))

  p <- add_trace(p, data = prices[i,], x = c(time, time), y = c(open, close), mode = "lines", evaluate = T,
                 showlegend = F,
                 marker = list(color = "#ff5050"),
                 line = list(width = 5))
}

p

更新：随着plotly 4.0的发布，这样做容易得多：

library(plotly)
library(quantmod)

prices <- getSymbols("MSFT", auto.assign = F)
prices <- prices[index(prices) >= "2016-01-01"]

# Make dataframe
prices <- data.frame(time = index(prices),
                     open = as.numeric(prices[,1]),
                     high = as.numeric(prices[,2]),
                     low = as.numeric(prices[,3]),
                     close = as.numeric(prices[,4]))

plot_ly(prices, x = ~time, xend = ~time, showlegend = F) %>% 
  add_segments(y = ~low, yend = ~high, line = list(color = "gray")) %>% 
  add_segments(y = ~open, yend = ~close, 
               color = ~close > open,
               colors = c("#00b386","#ff6666"),
               line = list(width = 3))

有关更完整的示例，请参阅此处：http://moderndata.plot.ly/candlestick-charts-using-plotly-and-quantmod/

Answer 2

您可以使用quantmod包执行此操作。

尝试以下方法：

library(quantmod)
getSymbols("MSFT")
candleChart(MSFT,multi.col=TRUE,theme='white')

如果不需要全部，可以将MSFT对象修剪为较小的日期范围。

如果您需要使用ggplot，请告诉我，我会写下代码。但通常情况下，我会尽可能地使用包装，因为它更干净！

Answer 3

Royr2回答了这个问题，但他几天之内没有将评论的答案转移到答案中，所以为了将答案作为一个明确的答案，我只是将他的评论转移到答案中。如果他发布了答案，我很乐意将他的答案标记为适当的答案。

＆＃34;

我在这里为人们写了一些东西 - ＆gt; http://moderndata.plot.ly/candlestick-charts-using-plotly-and-quantmod/使用plot_ly（）而不是ggplotly（）。不言而喻，该功能受到quantmod包中图表的启发:)希望有帮助...... -

＆＃34;

royr2 4月25日5:02

BoxPlot在ggplotly中

3 个答案: