我想在10天的采样期内绘制三列数据作为累积堆积面积图。
ID变量值
达拉斯样品.01 0.0012
奥斯汀样品。010.23
西雅图样品。010.01
我希望它看起来像这样:
但是它像这样出来:
我的代码在做什么错?
melted_dat %>%
group_by(value,ID) %>%
plot_ly(
x = ~variable,
y = ~value,
color = ~ID,
type='scatter',
mode = 'none',
fill = 'tonexty',
stackgroup = 'one',
fillcolor = ~ID) %>%
layout(showlegend = FALSE)
答案 0 :(得分:0)
我认为您需要逐个跟踪添加组跟踪。如以下示例(来自here):
library(plotly)
data <- t(USPersonalExpenditure)
data <- data.frame("year"=rownames(data), data)
p <- plot_ly(data, x = ~year, y = ~Food.and.Tobacco, name = 'Food and Tobacco', type = 'scatter', mode = 'none', stackgroup = 'one', groupnorm = 'percent', fillcolor = '#F5FF8D') %>%
add_trace(y = ~Household.Operation, name = 'Household Operation', fillcolor = '#50CB86') %>%
add_trace(y = ~Medical.and.Health, name = 'Medical and Health', fillcolor = '#4C74C9') %>%
add_trace(y = ~Personal.Care, name = 'Personal Care', fillcolor = '#700961') %>%
add_trace(y = ~Private.Education, name = 'Private Education', fillcolor = '#312F44') %>%
layout(title = 'United States Personal Expenditures by Categories',
xaxis = list(title = "",
showgrid = FALSE),
yaxis = list(title = "Proportion from the Total Expenditures",
showgrid = FALSE,
ticksuffix = '%'))
# Create a shareable link to your chart
# Set up API credentials: https://plot.ly/r/getting-started
chart_link = api_create(p, filename="area-stackedcum")
chart_link
答案 1 :(得分:0)
如果您是从积蓄地跟踪累积示例,请不要执行group_by .... cumsum
,我也将摆脱fillcolor