我有一个没有右左边界(都不在底部)的绘图。找不到添加此额外空间的文档,因此我的y轴(此图处于水平模式)不会被剪切。
ui.R:
tabItem(tabName = "ga",
column(12, offset = 2,
plotlyOutput("plot")
)
)
server.R:
sesiones_por_fuente <- reactive({
sesiones_ga <- read_csv("https://www.dropbox.com/s/w2ggnb0p4mz2nus/sesiones-2018.csv?dl=1", skip = 0)
sesiones_ga <- sesiones_ga %>%
group_by(sources) %>%
summarise(sessions = sum(sessions))
})
m <- list(
l = 200,
r = 50,
b = 100,
t = 100,
pad = 20
)
output$plot <- renderPlotly({
plot_ly(sesiones_por_fuente(), x = ~sessions, y = ~sources, type = 'bar',
width = 1200, height = 600, margin = m, orientation = 'h', pad=4) %>%
layout(title = "Sesiones por mes",
xaxis = list(title = ""),
yaxis = list(title = "")) %>%
layout(hovermode = 'compare',
separators = ',')
})
数据集:
您可以通过以下方式下载数据:
sesiones_por_fuente <- read_csv("https://www.dropbox.com/s/w2ggnb0p4mz2nus/sesiones-2018.csv?dl=1", skip = 0)
或使用dput函数重新创建它:
sesiones_por_fuente <- structure(list(sources = c("adwords", "ccl", "criteo", "directo",
"email", "facebookads", "onesignal", "organico", "redes sociales",
"referencias", "rpp", "spam"), sessions = c(4534932L, 265532L,
3959787L, 4290376L, 3870548L, 3125880L, 2345860L, 7002943L, 75382L,
15061160L, 222730L, 5971162L)), class = c("tbl_df", "tbl", "data.frame"
), .Names = c("sources", "sessions"), row.names = c(NA, -12L), spec = structure(list(
cols = structure(list(date = structure(list(format = ""), .Names = "format", class = c("collector_date",
"collector")), hour = structure(list(), class = c("collector_character",
"collector")), deviceCategory = structure(list(), class = c("collector_character",
"collector")), source = structure(list(), class = c("collector_character",
"collector")), medium = structure(list(), class = c("collector_character",
"collector")), sessions = structure(list(), class = c("collector_integer",
"collector")), year = structure(list(), class = c("collector_integer",
"collector")), month = structure(list(), class = c("collector_character",
"collector")), sources = structure(list(), class = c("collector_character",
"collector"))), .Names = c("date", "hour", "deviceCategory",
"source", "medium", "sessions", "year", "month", "sources"
)), default = structure(list(), class = c("collector_guess",
"collector"))), .Names = c("cols", "default"), class = "col_spec"))
答案 0 :(得分:2)
鉴于您的dput
数据,您需要做两件事,一是解决您的问题,另一是摆脱警告:
margin = m
从呼叫移至plot_ly
到layout
呼叫,如下代码。pad=4
选项从调用中移至plot_ly
,因为这会发出警告(即,它对于plot_ly
是无效的选项)这主要是您如何使用plot_ly
的问题,而不是闪亮的问题。我仅使用R中的plot_ly
就可以重现该问题,下面的代码解决了该问题。
plot_ly(sesiones_por_fuente, x = ~sessions, y = ~sources, type = 'bar',
width = 1200, height = 600, orientation = 'h') %>%
layout(title = "Sesiones por mes",
xaxis = list(title = ""),
yaxis = list(title = ""),
margin = m) %>%
layout(hovermode = 'compare',
separators = ',')
这是在边距中有多余空间的结果图
答案 1 :(得分:1)
我有两个可能的建议:
1)将l
从200增加到更多。但是,正如我所看到的那样,您根据情节空间所讲的话并没有帮助;
2)将pad
增加到100。但是情节看起来并不好。
您有两个大小不同的pads
,也许这会导致您遇到问题