如何根据串扰条件动态更改绘图轴

Question

这个问题有been asked before，但是因为没有reprex所以没有得到答案，所以让我试一试。

假设我有两个跨越不同日期范围的数据集。我想使用滑块控制每个的可视化。以下 reprex 将直接在下方创建视觉效果。

---
title: "Untitled"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)

#+ message = FALSE, warning = FALSE
library(plotly)
library(crosstalk)
library(dplyr)
#+
```

```{r}
df1 <- data.frame(d = seq.Date(from = as.Date("2020-01-01"), by = "months", length.out = 100), v = runif(100))
df2 <- data.frame(d = seq.Date(from = as.Date("2020-6-01"), by = "months", length.out = 20), other_v = runif(20))

both_df <- full_join(df1, df2, by = 'd')

both_df_sh <- both_df %>% SharedData$new(group = "boom")

selector <- filter_slider(id = "selector1", label = "select dates", sharedData = both_df_sh, column = ~d)

v_p <- both_df_sh %>% plot_ly(x = ~d) %>% add_lines(y = ~v, name = "v", color = I("blue"))

other_v_p <- both_df_sh %>% plot_ly(x = ~d) %>% add_lines(y = ~other_v, name = "other v", color = I("red"))
```

```{r}
crosstalk::bscols(v_p, other_v_p)
```

这是正确的，因为两个图表都正确显示了它们的日期范围。但是，如果该范围内不存在数据，我的客户希望在图表中看到空白。像这样：

---
title: "Untitled"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)

#+ message = FALSE, warning = FALSE
library(plotly)
library(crosstalk)
library(dplyr)
#+
```

```{r}
df1 <- data.frame(d = seq.Date(from = as.Date("2020-01-01"), by = "months", length.out = 100), v = runif(100))
df2 <- data.frame(d = seq.Date(from = as.Date("2020-6-01"), by = "months", length.out = 20), other_v = runif(20))

both_df <- full_join(df1, df2, by = 'd')

both_df_sh <- both_df %>% SharedData$new(group = "boom")

selector <- filter_slider(id = "selector1", label = "select dates", sharedData = both_df_sh, column = ~d)

v_p <- both_df_sh %>% plot_ly(x = ~d) %>% add_lines(y = ~v, name = "v", color = I("blue")) %>% 
  layout(xaxis = list(range = list(min(both_df_sh$data()$d, na.rm = TRUE), 
                            max(both_df_sh$data()$d, na.rm = TRUE))))

other_v_p <- both_df_sh %>% plot_ly(x = ~d) %>% add_lines(y = ~other_v, name = "other v", color = I("red")) %>% 
  layout(xaxis = list(range = list(min(both_df_sh$data()$d, na.rm = TRUE), 
                            max(both_df_sh$data()$d, na.rm = TRUE))))
```

```{r}
selector
```

```{r}
crosstalk::bscols(v_p, other_v_p)
```

正如预期的那样，这给了我们这个：

这就是我想要的！然而，现在，图表不再随 filter_select 缩放，它仅隐藏数据，这不会创建可爱的视觉效果：

所以，我希望图表限制在拖动条形图时“掠过”...但要做到这一点，我当时需要 filter_select 的值。

我以为我可以通过像这样更改限制来预先获得它：

selector_values <- jsonlite::fromJSON(selector$children[[3]]$children[[1]])$values

v_p <- both_df_sh %>% plot_ly(x = ~d) %>% add_lines(y = ~v, name = "v", color = I("blue")) %>% 
  layout(xaxis = list(range = min(selector_values), max(selector_values)))

other_v_p <- both_df_sh %>% plot_ly(x = ~d) %>% add_lines(y = ~other_v, name = "other v", color = I("red")) %>% 
  layout(xaxis = list(range = min(selector_values), max(selector_values)))

但这些值在仪表板启动后不会重新评估。我需要一种方法来访问这些选择器的当前值...我该怎么做？

Answer 1

我们可以使用 plotly 的 matches 参数来对齐多个绘图的轴，就像我所做的那样 :

---
title: "Untitled"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)

#+ message = FALSE, warning = FALSE
library(plotly)
library(crosstalk)
library(dplyr)
#+
```

```{r}
df1 <- data.frame(d = seq.Date(from = as.Date("2020-01-01"), by = "months", length.out = 100), v = runif(100))
df2 <- data.frame(d = seq.Date(from = as.Date("2020-6-01"), by = "months", length.out = 20), other_v = runif(20))

both_df <- full_join(df1, df2, by = 'd')

both_df_sh <- both_df %>% SharedData$new(group = "boom")

selector <- filter_slider(id = "selector1", label = "select dates", sharedData = both_df_sh, column = ~d)

v_p <- both_df_sh %>% plot_ly(x = ~d) %>% add_lines(y = ~v, name = "v", color = I("blue"))

other_v_p <- both_df_sh %>% plot_ly(x = ~d) %>% add_lines(y = ~other_v, name = "other v", color = I("red")) %>% layout(xaxis = list(matches = "x"))
```

```{r}
selector
```

```{r, out.width='100%'}
subplot(v_p, other_v_p, shareX = TRUE, shareY = TRUE)
```

原回答：

我不确定我是否正确理解了您的预期输出，但如果您想自动缩放 x-axes，只需删除 xaxis range（layout() 调用）。 crosstalk 将负责根据 filter_slider:

提供过滤后的数据

---
title: "Untitled"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)

#+ message = FALSE, warning = FALSE
library(plotly)
library(crosstalk)
library(dplyr)
#+
```

```{r}
df1 <- data.frame(d = seq.Date(from = as.Date("2020-01-01"), by = "months", length.out = 100), v = runif(100))
df2 <- data.frame(d = seq.Date(from = as.Date("2020-6-01"), by = "months", length.out = 20), other_v = runif(20))

both_df <- full_join(df1, df2, by = 'd')

both_df_sh <- both_df %>% SharedData$new(group = "boom")

selector <- filter_slider(id = "selector1", label = "select dates", sharedData = both_df_sh, column = ~d)

v_p <- both_df_sh %>% plot_ly(x = ~d) %>% add_lines(y = ~v, name = "v", color = I("blue"))

other_v_p <- both_df_sh %>% plot_ly(x = ~d) %>% add_lines(y = ~other_v, name = "other v", color = I("red"))
```

```{r}
selector
```

```{r}
crosstalk::bscols(v_p, other_v_p)
```

non-crosstalk 方法，使用共享 x-axis 和范围滑块：

library(plotly)
library(dplyr)

df1 <- data.frame(d = seq.Date(from = as.Date("2020-01-01"), by = "months", length.out = 100), v = runif(100))
df2 <- data.frame(d = seq.Date(from = as.Date("2020-6-01"), by = "months", length.out = 20), other_v = runif(20))

both_df <- full_join(df1, df2, by = 'd')

fig1 <- plot_ly(both_df, x = ~ d, y = ~ v, type = "scatter", mode = "lines")
fig2 <- plot_ly(both_df, x = ~ d, y = ~ other_v, type = "scatter", mode = "lines") 

fig_shared_x <- subplot(fig1, fig2, nrows = 2, shareX = TRUE)
fig_shared_x

fig_rangeslider <- fig_shared_x %>% layout(xaxis = list(rangeslider = list(type = "date")))
fig_rangeslider

如何根据串扰条件动态更改绘图轴

how to dynamically change plotly axis based on crosstalk conditions

r

plotly

r-plotly

crosstalk