使用 facet_wrap 和 scales =“free"绘制图表时出错巧妙地 [英] Error plotting chart with facet_wrap and scales = "free" in plotly
问题描述
我有一个包含各种类别(方面)的时间序列,我正在尝试使用 ggplot2
中的 facet_wrap
功能创建一个图表并将其上传到 情节
.
I have a time series with various categories (facets), and I am trying to create a chart using the facet_wrap
feature from ggplot2
and upload it on plotly
.
如果我设置 scales = "fixed"
,我没有问题:图表在我的计算机和 plotly
上看起来都很好.但是如果我设置 scales = "free"
,如下面的代码,那么我电脑上的 ggplot2
看起来不错,但是 plotly
版本未正确显示(在我的计算机或网络上).
If I set scales = "fixed"
, I have no problem: the graph looks fine on my computer and on plotly
. But if I set scales = "free"
, as in the code below, then the ggplot2
on my computer looks fine, but the plotly
version is not showing up properly (either on my computer or the web).
这是一些示例代码;我为从 2000 年到 2015 年的 16 年期间的 12 个州创建了一些随机值,我想绘制这些值的时间序列,每个州都有自己的图表和唯一的 y 轴.
Here is some sample code; I create some random values for 12 states covering a 16-year period from 2000 to 2015, and I want to plot a time series of those values with each state having its own chart and unique y-axis.
library(ggplot2)
library(plotly)
set.seed(1)
states = sample(state.name, 12) ## create random list of 12 states
## create random data with values for state and by year
dat <- data.frame(Year = rep(2000:2015, times = 12),
State = rep(states, each = 16),
Value = rnorm((12*16), mean = 5, sd = 2))
## plot data with facet_wrap for each state
p <- ggplot(dat, aes(Year, Value)) + geom_line() +
facet_wrap(~ State, ncol = 4, scales = "free")
p
ggplotly(p)
ggplot2
命令 (p) 按预期显示:
The ggplot2
command (p) shows up as expected:
但是 ggplotly(p)
被扭曲了:
据我所知,以前有一个关于这个主题的帖子,但没有解决:
As far as I can tell, there was a previous thread on this topic, but it was not resolved:
我将不胜感激.
推荐答案
如果您对替代方案持开放态度,可以尝试使用原生 plotly
和 subplot
.试试:
If you are open to an alternative, you could try with native plotly
with subplot
. Try:
dat$id <- as.integer(dat$State)
p <- plot_ly(dat, x = Year, y = Value, group = State,
xaxis = paste0("x", id), marker=list(color="black"))
p <- layout(
subplot(p, nrows=3, margin = 0.05),
xaxis = list(title = "Arizona"),
xaxis2 = list(title = "Connecticut"),
xaxis3 = list(title = "Florida"),
xaxis4 = list(title = "Georgia"),
xaxis5 = list(title = "Indiana"),
xaxis6 = list(title = "Maine"),
xaxis7 = list(title = "Nebraska"),
xaxis8 = list(title = "Nevada"),
xaxis9 = list(title = "New Hampshire"),
xaxis10 = list(title = "South Dakota"),
xaxis11 = list(title = "Tennessee"),
xaxis12 = list(title = "Texas"),
yaxis = list(title = "Value"),
yaxis2 = list(title = ""),
yaxis3 = list(title = ""),
yaxis4 = list(title = ""),
yaxis5 = list(title = "Value"),
yaxis6 = list(title = ""),
yaxis7 = list(title = ""),
yaxis8 = list(title = ""),
yaxis9 = list(title = "Value"),
yaxis10 = list(title = ""),
yaxis11 = list(title = ""),
yaxis12 = list(title = ""), showlegend = FALSE)
p
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