R:缺乏互动性
R: Lack of Interactivity
我正在使用 R 编程语言。我在这里关注本教程:
本教程声称使用过滤器生成交互式图形。然而,当我 运行 代码时,我没有看到任何过滤器。谁能告诉我我是否做错了什么(或者我可能误解了代码)?
library(plotly)
fig <- plot_ly(
type = 'scatter',
x = mtcars$hp,
y = mtcars$qsec,
text = rownames(mtcars),
hoverinfo = 'text',
mode = 'markers',
transforms = list(
list(
type = 'filter',
target = 'y',
operation = '>',
value = mean(mtcars$qsec)
)
)
)
fig
此代码生成下图:
但是似乎没有任何“过滤器”按钮。
如果我做错了什么,有人可以告诉我吗?
谢谢
实际上,您代码中的过滤器仅显示 y > mean(mtcars$qsec) 的数据点。我相信您正在寻找类似下拉过滤器的东西,就像这里讨论的那样:https://community.plotly.com/t/need-help-on-using-dropdown-to-filter/6596.
以下代码来自https://community.plotly.com/t/need-help-on-using-dropdown-to-filter/6596。 (请参阅上面@rodrigocfaria 的回答):
library(plotly)
p <- iris %>%
plot_ly(
type = 'scatter',
x = ~Sepal.Length,
y = ~Petal.Length,
text = ~Species,
hoverinfo = 'text',
mode = 'markers',
transforms = list(
list(
type = 'filter',
target = ~Species,
operation = '=',
value = unique(iris$Species)[1]
)
)) %>% layout(
updatemenus = list(
list(
type = 'dropdown',
active = 0,
buttons = list(
list(method = "restyle",
args = list("transforms[0].value", unique(iris$Species)[1]),
label = unique(iris$Species)[1]),
list(method = "restyle",
args = list("transforms[0].value", unique(iris$Species)[2]),
label = unique(iris$Species)[2]),
list(method = "restyle",
args = list("transforms[0].value", unique(iris$Species)[3]),
label = unique(iris$Species)[3])
)
)
)
)
#view plot
p
我正在使用 R 编程语言。我在这里关注本教程:
本教程声称使用过滤器生成交互式图形。然而,当我 运行 代码时,我没有看到任何过滤器。谁能告诉我我是否做错了什么(或者我可能误解了代码)?
library(plotly)
fig <- plot_ly(
type = 'scatter',
x = mtcars$hp,
y = mtcars$qsec,
text = rownames(mtcars),
hoverinfo = 'text',
mode = 'markers',
transforms = list(
list(
type = 'filter',
target = 'y',
operation = '>',
value = mean(mtcars$qsec)
)
)
)
fig
此代码生成下图:
但是似乎没有任何“过滤器”按钮。
如果我做错了什么,有人可以告诉我吗?
谢谢
实际上,您代码中的过滤器仅显示 y > mean(mtcars$qsec) 的数据点。我相信您正在寻找类似下拉过滤器的东西,就像这里讨论的那样:https://community.plotly.com/t/need-help-on-using-dropdown-to-filter/6596.
以下代码来自https://community.plotly.com/t/need-help-on-using-dropdown-to-filter/6596。 (请参阅上面@rodrigocfaria 的回答):
library(plotly)
p <- iris %>%
plot_ly(
type = 'scatter',
x = ~Sepal.Length,
y = ~Petal.Length,
text = ~Species,
hoverinfo = 'text',
mode = 'markers',
transforms = list(
list(
type = 'filter',
target = ~Species,
operation = '=',
value = unique(iris$Species)[1]
)
)) %>% layout(
updatemenus = list(
list(
type = 'dropdown',
active = 0,
buttons = list(
list(method = "restyle",
args = list("transforms[0].value", unique(iris$Species)[1]),
label = unique(iris$Species)[1]),
list(method = "restyle",
args = list("transforms[0].value", unique(iris$Species)[2]),
label = unique(iris$Species)[2]),
list(method = "restyle",
args = list("transforms[0].value", unique(iris$Species)[3]),
label = unique(iris$Species)[3])
)
)
)
)
#view plot
p