added selection in vignette shiny

This commit is contained in:
pvictor 2020-03-18 17:57:58 +01:00
parent 7312588c47
commit 8238c0709e
3 changed files with 79 additions and 13 deletions

View File

@ -41,7 +41,6 @@ server <- function(input, output, session) {
output$chart2 <- renderApexchart({
apex(iris, aes(Sepal.Length, Sepal.Width), type = "scatter") %>%
ax_chart(zoom = list(type = "xy")) %>%
set_input_selection("selection_scatter", type = "xy")
})
output$result2 <- renderPrint({

View File

@ -91,9 +91,9 @@ HTMLWidgets.widget({
if (x.shinyEvents.selection.type == "x") {
selectionValue = {x: xaxis.xaxis};
} else if (x.shinyEvents.selection.type == "xy") {
selectionValue = {x: xaxis.xaxis, y: xaxis.yaxis};
selectionValue = {x: xaxis.xaxis, y: getYaxis(xaxis)};
} else if (x.shinyEvents.selection.type == "y") {
selectionValue = {y: xaxis.yaxis};
selectionValue = {y: getYaxis(xaxis)};
}
Shiny.setInputValue(id, selectionValue);
};
@ -218,8 +218,13 @@ function getSelection(chartContext, selectedDataPoints, serieIndex) {
function getYaxis(axis) {
var yzoom = { min: null, max: null };
if (typeof axis.yaxis != "undefined" && axis.yaxis !== null && axis.yaxis.length > 0) {
var y_axis = axis.yaxis[0];
if (typeof axis.yaxis != "undefined" && axis.yaxis !== null) {
var y_axis;
if (axis.yaxis.hasOwnProperty("min")) {
y_axis = axis.yaxis;
} else {
y_axis = axis.yaxis[0];
}
if (y_axis.hasOwnProperty("min") && typeof y_axis.min != "undefined") {
yzoom.min = y_axis.min;
}

View File

@ -47,7 +47,7 @@ apex(..., auto_update = config_update(update_options = TRUE))
### Proxy
A proxy is also implemented to update charts manually in oberserver. You can update data:
A proxy is also implemented to update charts manually server-side. You can update data:
```{r}
output$my_chart <- renderApexchart({
@ -60,7 +60,7 @@ observeEvent(input$update, {
})
```
Be sure to use `shiny::isolate()` to block any reactivity in `renderApexchart` function and to set `auto_update` to FALSE te prevevnt updating twice.
Be sure to use `shiny::isolate()` to block any reactivity in `renderApexchart` function and to set `auto_update` to FALSE to prevent updating twice.
Then you can use in an observe function (or any reactive function) `apexchartProxy()` with the output id to get the chart instance and `ax_proxy_series()` to update data.
If you want to update chart's options, use :
@ -94,10 +94,10 @@ data.frame(
) %>%
apex(aes(month, value), height = "250px") %>%
ax_title("Click a bar:") %>%
set_input_click("month_click")
set_input_click("click")
```
Value server-side will be available through `input$month_click`.
Value server-side will be available through `input$click`.
Depending on the type of graphic, you can retrieve :
@ -109,7 +109,7 @@ Depending on the type of graphic, you can retrieve :
Multiple slection is possible and you can change the darken effect of selected bars :
Multiple selection is possible and you can change the darken effect of selected bars :
```{r, eval=TRUE}
@ -120,7 +120,7 @@ data.frame(
apex(aes(month, value), height = "250px") %>%
ax_title("Click several bars:") %>%
set_input_click(
inputId = "month_click",
inputId = "click",
multiple = TRUE,
effect_value = 0.1
)
@ -144,10 +144,10 @@ Retrieve the coordinates of the axes when the graph is zoomed in:
```{r, eval=TRUE}
data("economics", package = "ggplot2")
apex(economics, aes(date, psavert), type = "line", height = "250px") %>%
set_input_zoom("zoom_ts")
set_input_zoom("zoom")
```
Value server-side will be available through `input$zoom_ts` unde the form :
Value server-side will be available through `input$zoom` under the form :
```{r, echo=FALSE, eval=TRUE}
list(
@ -171,3 +171,65 @@ More examples are available with:
run_input_demo("zoom")
```
### Selection
Retrieve the coordinates of the axes when user select an area on a chart (without zooming):
```{r, eval=TRUE}
apex(economics, aes(date, psavert), type = "line", height = "250px") %>%
set_input_selection("selection")
```
Value server-side will be available through `input$selection` under the form :
```{r, echo=FALSE, eval=TRUE}
list(
x = list(
min = "1981-10-24 15:41:16 UTC",
max = "1992-01-24 06:40:22 UTC"
)
)
```
You can define a selected area at start:
```{r, eval=TRUE}
apex(economics, aes(date, psavert), type = "line", height = "250px") %>%
set_input_selection(
inputId = "selection",
xmin = format_date("1980-01-01"),
xmax = format_date("1985-01-01")
)
```
Above selection is only made possible on x-axis, but in case of scatter chart for example, you can select a rectangle (both axis):
```{r, eval=TRUE}
apex(iris, aes(Sepal.Length, Sepal.Width), type = "scatter", height = "250px") %>%
set_input_selection("selection_scatter", type = "xy")
```
In this case, input value will look like this:
```{r, echo=FALSE, eval=TRUE}
list(
x = list(
min = 5.130187,
max = 5.541228
),
y = list(
min = 2.959623,
max = 3.860357
)
)
```
More examples are available with:
```{r}
run_input_demo("selection")
```