How can I render a plotly map with only a single color. In the example below, I would like the fill for all states to be red, or #FF0000.
library(plotly)
library(tidyverse)
dat <- data.frame(state = state.abb)
plot_ly(dat,
type = "choropleth",
locationmode = 'USA-states',
locations = ~state) %>%
add_trace(color = "red") %>%
layout(geo = list(
projection = list(
type = "albers usa")))
From what I understand of the plotly documentation this is a way to achive it (cloropleth is kind of heatmap but you want one color for all):
library(plotly)
dat <- data.frame(state = state.abb)
plot_ly(dat,
type = "scattergeo",
mode = 'none',
locationmode = 'USA-states',
locations = ~state) %>%
layout(geo = list(landcolor = "#FF0000",
showland = TRUE,
projection = list(type = "albers usa")))
Related
I am trying to replicate the following stacked bar chart with plotly. I attach one screenshot for every hover text I get when hovering on a bar. As you will see there are 2 issues. First I cannot achieve 3 colors, besides the fact that I create them in the legend and secondly I cannot put First dose as top bar besides the fact that I use factor() based on the levels. Maybe there is an issue with the way I have created my dataset. I have no problem if you have to reform it instead of fix the plotly code to replicate the chart.
library(plotly)
Category<-c("First dose","Full vaccination")
`Uptake first dose`<-c(19.8,7.6)
`Uptake full vaccination`<-c(0,0)
`Not vaccinated`<-c(80.2,92.4)
ch5<-data.frame(Category,`Uptake first dose`,`Uptake full vaccination`,`Not vaccinated`)
ch5$Category <- factor(ch5$Category, levels = ch5[["Category"]])
ax <- list(
title = "",
showticklabels = FALSE,
showgrid = FALSE
)
fig <- plot_ly(ch5, y = ~Category, x = ~`Uptake first dose`,
type = 'bar', name = 'Uptake first dose',marker = list(color = 'lightgreen'))
fig <- fig %>% add_trace(x = ~`Uptake full vaccination`, name = 'Uptake full vaccination',marker = list(color = 'green'))
fig <- fig %>% add_trace(x = ~`Not vaccinated`, name = 'Not vaccinated',marker = list(color = 'gray'))
fig <- fig %>% layout(yaxis = ax,xaxis=list(title="",showgrid=F), barmode = 'stack')
fig
There might be a problem with your dataset. The 7.6% of full vaccination is listed under first doese. Therefore your coloring might not work.
Furthermore I transformed the data into a long format for an easy way to create hovertemplates.
library(plotly)
library(tidyverse)
# data
Category<-c("First dose","Full vaccination")
`Uptake first dose`<-c(19.8,0)
`Uptake full vaccination`<-c(0,7.6)
`Not vaccinated`<-c(80.2,92.4)
ch5<-data.frame(Category,`Uptake first dose`,`Uptake full vaccination`,`Not vaccinated`)
# transform data
data.long <- ch5 %>%
pivot_longer(cols = -Category,
names_to = "vac",
values_to = "percent") %>%
mutate(vac = str_replace_all(vac, "\\.", " "),
vac = fct_rev(factor(vac)))
# add plot
plot_ly(data.long) %>%
add_bars(y = ~Category,
x = ~percent,
color = ~vac,
text = ~vac,
colors = c("darkgreen", "green", "gray"),
hovertemplate = paste('<b>%{y}</b>',
'<br>%{text}: %{x} ',
'<extra></extra>')) %>%
layout(barmode = "stack",
yaxis = list(autorange="reversed"),
hoverlabel = list(bgcolor = "black",
bordercolor = "black",
font = list(color = "white")),
shapes = list(type = "line",
y0 = 0, y1 = 1, yref = "paper",
x0 = 70, x1 = 70),
annotations = list(text = "Target (70.0%)",
showarrow = FALSE,
x = 70,
y = 1.05,
yref = "paper"))
I probably have a simple question but I can't find a way to achieve what I need. I have a simple boxplot as the following:
end_dt <- as.Date("2021-02-12")
start_dt <- end_dt - (nrow(iris) - 1)
dim(iris)
dates <- seq.Date(start_dt, end_dt, by="1 day")
df <- iris
df$LAST_VAL <- "N"
df[3, 'LAST_VAL'] <- "Y"
df1 <- df[,c("Sepal.Length","LAST_VAL")]
df1$DES <- 'Sepal.Length'
colnames(df1) <- c("VALUES","LAST_VAL","DES")
df2 <- df[,c("Sepal.Width","LAST_VAL")]
df2$DES <- 'Sepal.Width'
colnames(df2) <- c("VALUES","LAST_VAL","DES")
df <- rbind(df1, df2)
fig <- plot_ly(df, y = ~VALUES, color = ~DES, type = "box") %>% layout(showlegend = FALSE)
What I would like to do now is a add a red marker to each box plot just for the value corresponding to LAST_VAL = "Y". This would allow me to see given the distribution of each plot, to see where the most recent value is located.
I tried to use the info on https://plotly.com/r/box-plots/ but I can't figure out how to do this.
Thanks
The following solution ended up to be a bit too long codewise. However, it should give you what you asked for. I think the boxplots should be added afterwards, like:
fig <- plot_ly(df[df$LAST_VAL=="Y",],
x=~DES, y = ~VALUES, color = ~DES, type = "scatter", colors='red') %>%
layout(showlegend = FALSE) %>%
add_boxplot(data = df[df$DES=="Sepal.Length",], x = ~DES, y = ~VALUES,
showlegend = F, color = ~DES,
boxpoints = F, fillcolor = 'white', line = list(color = c('blue'))) %>%
add_boxplot(data = df[df$DES=="Sepal.Width",], x = ~DES, y = ~VALUES,
showlegend = F, color = ~DES,
boxpoints = F, fillcolor = 'white', line = list(color = c('green')))
I was wondering if is it possible to add annotations to a Plotly Animated Gapminder plot? I mean, I don't need that all the bubbles have annotations, but I would like that some of them had.
Here's an example, the only country that I want to display the name is China.
library(plotly)
library(gapminder)
m <- gapminder[gapminder$country == "China", ]
a <- list(
x = m$gdpPercap,
y = m$lifeExp,
text = m$country,
xref = "x",
yref = "y",
showarrow = TRUE,
arrowhead = 7,
ax = 20,
ay = -40
)
df <- gapminder
fig <- df %>%
plot_ly(
x = ~gdpPercap,
y = ~lifeExp,
size = ~pop,
color = ~continent,
frame = ~year,
text = ~country,
hoverinfo = "text",
type = 'scatter',
mode = 'markers'
) %>% add_markers() %>% layout(annotations = a)
I need that the annotation to follow the China marker. Do you know if this is possible?
Thanks!
Bruno
I am trying to split the attached grouped bar chart by the variable spec. Two thoughts on best way to do this are by adding facet_grid() or if a filter can be applied to the static output? Can either be done? Any advice appreciated.
a sample is below:
period <- c('201901', '201901', '201904', '201905')
spec <- c('alpha', 'bravo','bravo', 'charlie')
c <- c(5,6,3,8)
e <- c(1,2,4,5)
df <- data.frame(period, spec, c,e)
library(tidyverse)
library(plotly)
plot_ly(df, x =~period, y = ~c, type = 'bar', name = "C 1", marker = list(color = 'lightsteelblue3'))
%>%
add_trace(y = ~e, name = "E 1", marker = list(color = 'Gray')) %>%
layout(xaxis = list(title="", tickangle = -45),
yaxis = list(title=""),
margin= list(b=100),
barmode = 'group'
)
I am not sure if you are plotting what you actually want to achieve? My suggestion is to create your plot using standard ggplot and then use ggplotly.
For this, you also need to reshape your data and make it a bit longer.
library(tidyverse)
library(plotly)
period <- c('201901', '201901', '201904', '201905')
spec <- c('alpha', 'bravo','bravo', 'charlie')
c <- c(5,6,3,8)
e <- c(1,2,4,5)
df <- data.frame(period, spec, c,e) %>%
pivot_longer(cols = c(c,e), names_to = 'var', values_to = 'val')
p <- ggplot(df, aes(period, val, fill = var)) +
geom_col(position = position_dodge()) +
facet_grid(~spec)
ggplotly(p)
It's probably easier to use facets here, but a more "interactive" option would be to use a filter transforms which gives you a drop-down menu in the top left corner of your plot.
spec.val <- unique(df$spec)
plot_ly(
df %>% pivot_longer(-c(period, spec)),
x = ~period, y = ~value, color = ~name,
type = "bar",
transforms = list(
list(
type = "filter",
target = ~spec,
operation = "=",
value = spec.val[1]))) %>%
layout(
updatemenus = list(
list(
type = "drowdown",
active = 0,
buttons = map(spec.val, ~list(
method = "restyle",
args = list("transforms[0].value", .x),
label = .x)))))
I am trying to place the name of the legend in tow rows, but the usual way does not work. Can you help me to identify the reason?
library(leaflet)
dfXL = data.frame(
lat = as.numeric(c("-30","-30.1","-30.5")),
lng = as.numeric(c("14","14.6","14.6")),
sizeXL = as.numeric(c("1","2","3")),
color = "red")
#dfXL
palXL <- colorNumeric(palette=c("#FFFFFF","#FFA07A"), as.numeric(as.character(dfXL$sizeXL)))
dfXL$size_color<- palXL(dfXL$sizeXL)
dfXL
XL = leaflet(dfXL)%>%
setView(lng = 10.132974, lat = 10.706839, zoom = 3) %>%
addProviderTiles("Esri.WorldImagery") %>%
addCircleMarkers(radius = ~sizeXL/25 , color = ~size_color, fill = F,clusterOptions = markerClusterOptions(freezeAtZoom = 16),opacity=1) %>%
addLegend("bottomright",labels=dfXL$sizeXL,title=paste(expression(atop("a","b"))),opacity=1,colors=dfXL$size_color)
XL
Use </br> to introduce breaks
Copy and paste this reproducible example:
library(leaflet)
library(raster)
p <- shapefile(system.file("external/lux.shp", package="raster"))
pal <- colorNumeric(
palette = "Reds",
domain = p$AREA)
p %>%
leaflet() %>%
addTiles() %>%
addPolygons(stroke=FALSE, color = ~pal(AREA), fillOpacity = 1) %>%
addLegend(pal = pal, values = ~AREA, title = "line 1 </br> line 2")