I am a bit confused with use of highcharter hc_add_series function.
I am trying to create a plot where I need to specify both x and y axis, where x axis are continuous. I have a data-frame, for example:
df_plot <- cbind(
seq(0, 1, by = 0.1),
sample(seq(from = 100, to = 300, by = 10), size = 11, replace = TRUE),
sample(seq(from = 1, to = 100, by = 9), size = 11, replace = TRUE),
sample(seq(from = 50, to = 60, by = 2), size = 11, replace = TRUE),
sample(seq(from = 100, to = 130, by = 1), size = 1, replace = TRUE)
) %>%
as.data.frame()
names(df_plot) <- c("x", "a", "b", "c", "d")
I saw this example that works
highchart() %>%
hc_add_series(data = purrr::map(4:8, function(x) list(x, x)), color = "blue")
So i tried:
df_plot1 <- Map(cbind, split.default(df_plot[-1], names(df_plot)[-1]), x=df_plot[1])
highchart() %>%
hc_add_series(data = df_plot1[[1]]) %>%
hc_add_series(data = df_plot1[[2]], yAxis = 1) %>%
hc_yAxis_multiples(
list(lineWidth = 3, lineColor='#7cb5ec', title=list(text="First y-axis")),
list(lineWidth = 3, lineColor="#434348", title=list(text="Second y-axis")))
However, I am getting "No data to display" on the plot, so I obviously went wrong somewhere.
Also, I cannot use hchart function, as I need have multiple y axis
After reading docs about split.default it Divide into Groups and Reassemble, however you need to access the variable you want to plot, e.g. df_plot1[[1]$a, like so:
library(highcharter)
df_plot <- cbind(
seq(0, 1, by = 0.1),
sample(seq(from = 100, to = 300, by = 10), size = 11, replace = TRUE),
sample(seq(from = 1, to = 100, by = 9), size = 11, replace = TRUE),
sample(seq(from = 50, to = 60, by = 2), size = 11, replace = TRUE),
sample(seq(from = 100, to = 130, by = 1), size = 1, replace = TRUE)
) %>% as.data.frame()
names(df_plot) <- c("x", "a", "b", "c", "d")
df_plot1 <- Map(cbind, split.default(df_plot[-1], names(df_plot)[-1]), x=df_plot[1])
highchart() %>%
hc_xAxis(categories = df_plot1[[1]]$x) %>%
hc_add_series(data = df_plot1[[1]]$a) %>%
hc_add_series(data = df_plot1[[2]]$b, yAxis = 1) %>%
hc_yAxis_multiples(
list(lineWidth = 3, lineColor='#7cb5ec', title=list(text="First y-axis")),
list(lineWidth = 3, lineColor="#434348", title=list(text="Second y-axis")))
not sure if this can help you,
library(tidyr)
df_plot2 <- gather(df_plot, group, y, -x)
hchart(df_plot2, "line", hcaes(x, y, group = group))
hchart(df_plot2, "line", hcaes(x, y, group = group), yAxis = 0:3) %>%
hc_yAxis_multiples(
list(lineWidth = 3, title=list(text="First y-axis")),
list(lineWidth = 3, title=list(text="Second y-axis")),
list(lineWidth = 3, title=list(text="3rd y-axis")),
list(lineWidth = 3, title=list(text="4th y-axis"))
)
Related
I am trying to make a contour plot and draw a line on top of it (which I can do). I then overlaid two other lines using add_trace. For some reason the two lines I add using add_trace comes out orange instead of grey even though I specify grey (line = list(color = 'grey', )
I don't know how to add my data, it is very big. Is there any obvious reason as to why the colour changes to orange? If I change the width or the dash, it works. it just doesn't want to use the grey colour!
Thank you
(plot <- plot_ly(df, x = ~A, y = ~B, z = ~Difference, zauto = FALSE, zmin = -250, zmax = 250,
type="contour",
colorbar = list(title = "", titleside='right',
tickvals=c(-250, -200, -150, -100, -50, 0, 50, 100, 150, 200, 250), len = 1),
colorscale = "RdBu",
contours = list(start = 0, end = 0, coloring='heatmap', coloring='lines'),
line = list(color = 'black', width = 2)) %>%
add_trace(z = df$C, showscale = FALSE, line = list(color = 'grey', width = 2, dash = 'dash'), contours = list(start = 0, end = 0, coloring='lines')) %>%
add_trace(z = df$C, showscale = FALSE, line = list(color = 'grey', width = 2, dash = 'solid'), contours = list(start = 0, end = 0, coloring='lines')) %>%
layout(margin = list(l = 50, r = 70, b = 50, t = 50, pad = 4),
title = "", xaxis = x, yaxis = list(title = ""), font=t))
I guess the problem in your above code is, that you aren't specifiying the trace type. Accordingly plot_ly assumes that you are adding two more contour traces. Those traces are inheriting the colorscale you defined.
To avoid this you need to specify type = "scatter", mode = "lines", inherit = FALSE.
I made a simple example based on this.
library(plotly)
fig <- plot_ly(
x = c(-9, -6, -5, -3, -1),
y = c(0, 1, 4, 5, 7),
z = matrix(c(10, 10.625, 12.5, 15.625, 20, 5.625, 6.25, 8.125, 11.25, 15.625, 2.5, 3.125, 5, 8.125, 12.5, 0.625, 1.25, 3.125,
6.25, 10.625, 0, 0.625, 2.5, 5.625, 10), nrow = 5, ncol = 5),
type = "contour", colorbar = list(title = "", titleside='right'),
colorscale = "RdBu",
line = list(color = 'black', width = 2)) %>%
add_trace(x = -1:-7, y = 1:7, type = "scatter", mode = "lines", line = list(color = 'lightgreen', width = 2, dash = 'solid'), inherit = FALSE)
fig
Problem: In plotly, is there a possibility to get the hoverinfo also for values which have zero y-value? So, in the example below, I want to have hovertext for xaxis value a, d and e.
Any suggestions?
library(data.table)
library(plotly)
dt <- data.table(
x = c("a", "b", "c", "d", "e"),
y = c(0 , 5, 2, 0, 0),
z = c(12, 14, 19, 23, 0)
)
plot_ly(dt,
x = ~x) %>%
add_bars(y = ~y,
text = ~paste("y-Values:", y, " z-Values:", z),
hoverinfo = "text")
I found the solution (add in layout hovermode = 'x'):
library(data.table)
library(plotly)
dt <- data.table(
x = c("a", "b", "c", "d", "e"),
y = c(0 , 5, 2, 0, 0),
z = c(12, 14, 19, 23, 0)
)
plot_ly(dt,
x = ~x) %>%
add_bars(y = ~y,
text = ~paste("y-Values:", y, " z-Values:", z),
hoverinfo = "text") %>%
layout(hovermode = 'x')
I encountered a problem while using plotly and R shiny to visualize data. My sample codes are:
y <- c("q1", "q2", "q3", "q4", "q5", "q6", "q7")
x1 <- c(20, 10, 15, 15, 20, 10, 15)
x2 <- c(10, 20, 20, 10, 10, 30, 10)
x3 <- c(10, 10, 5, 10, 10, 5, 5)
x4 <- c(20, 25, 25, 35, 55, 40, 35)
x5 <- c(40, 35, 35, 30, 5, 15, 35)
num <- c(1,3,5,6,7,2,4)
df <- data.frame(y, x1, x2, x3, x4, x5, num)
plot_ly(df[order(-xtfrm(df$num)),]) %>%
add_trace(x = ~x1, y = ~y, marker = list(color = 'rgb(202,0,32)'), type = 'bar', orientation = 'h') %>%
add_trace(x = ~x2, y = ~y, marker = list(color = 'rgb(244,165,130)'), type = 'bar', orientation = 'h') %>%
add_trace(x = ~x3, y = ~y, marker = list(color = 'rgb(223,223,223)'), type = 'bar', orientation = 'h') %>%
add_trace(x = ~x4, y = ~y, marker = list(color = 'rgb(146,197,222)'), type = 'bar', orientation = 'h') %>%
add_trace(x = ~x5, y = ~y, marker = list(color = 'rgb(5,113,176)'), type = 'bar', orientation = 'h') %>%
layout(title="mytitle",
xaxis = list(title = "",
showticklabels = TRUE,
zeroline = FALSE,
domain = c(0.15, 1)),
yaxis = list(title = "",
showticklabels = FALSE,
zeroline = FALSE,
categoryorder = 'array',
categoryarray = ~qt),
barmode = 'relative',
paper_bgcolor = 'rgb(248, 248, 255)', plot_bgcolor = 'rgb(248, 248, 255)',
autosize=T,
margin = list(l = 150, r = 10, t = 100, b = 50, pad=4),
showlegend=F) %>%
# labeling the y-axis
add_annotations(xref = 'paper', yref = 'y', x = 0.14, y = df$y,
xanchor = 'right',
text = df$y,
font = list(family = 'Arial', size = 5,
color = 'rgb(67, 67, 67)'),
showarrow = FALSE, align = 'right')
The problem is that the margins does not work very well with large amount of questions. In my data, one of the categories includes more than 40 questions. The plot with 5 questions looks fine. (length=500)
But the plot with over 40 questions have big top and bottom margins. (length=4000)
Please help me get rid of these weird margins.
Also, I'd like to know how to put the x-axis on both the top and bottom of the plot. Thank you!
I'm looking for a way to sort my plotly bar plot by yaxis alphabetically. I tried several ways but the order of y is still from z to a, instead of a to z. Please help me out!
qt <- c("A", "C", "B","B","A", "C", "C")
y <- c("q1", "q2", "q3", "q4", "q5", "q6", "q7")
x1 <- c(20, 10, 15, 15, 20, 10, 15)
x2 <- c(10, 20, 20, 10, 10, 30, 10)
x3 <- c(10, 10, 5, 10, 10, 5, 5)
x4 <- c(20, 25, 25, 35, 55, 40, 35)
x5 <- c(40, 35, 35, 30, 5, 15, 35)
df <- data.frame(qt, y, x1, x2, x3, x4, x5)
df$qt <- factor(df$qt, levels = c("A", "B", "C"))
plot_ly(df) %>%
add_trace(x = ~x1, y = ~y, marker = list(color = 'rgb(202,0,32)'), type = 'bar', orientation = 'h') %>%
add_trace(x = ~x2, y = ~y, marker = list(color = 'rgb(244,165,130)'), type = 'bar', orientation = 'h') %>%
add_trace(x = ~x3, y = ~y, marker = list(color = 'rgb(223,223,223)'), type = 'bar', orientation = 'h') %>%
add_trace(x = ~x4, y = ~y, marker = list(color = 'rgb(146,197,222)'), type = 'bar', orientation = 'h') %>%
add_trace(x = ~x5, y = ~y, marker = list(color = 'rgb(5,113,176)'), type = 'bar', orientation = 'h') %>%
layout(title="mytitle",
xaxis = list(title = "",
showticklabels = TRUE,
zeroline = FALSE,
domain = c(0.15, 1)),
yaxis = list(title = "",
showticklabels = FALSE,
zeroline = FALSE),
barmode = 'relative',
paper_bgcolor = 'rgb(248, 248, 255)', plot_bgcolor = 'rgb(248, 248, 255)',
autosize=T,
margin = list(l = 150, r = 50, t = 100, b = 50),
showlegend=F) %>%
# labeling the y-axis
add_annotations(xref = 'paper', yref = 'y', x = 0.14, y = df$y,
xanchor = 'right',
text = df$y,
font = list(family = 'Arial', size = 15,
color = 'rgb(67, 67, 67)'),
showarrow = FALSE, align = 'right')%>%
#labeling the y-axis (category)
add_annotations(xref = 'paper', yref = 'qt', x = 0.01, y = df$y,
xanchor = 'right',
text = df$qt,
font = list(family = 'Arial', size = 15,
color = 'rgb(67, 67, 67)'),
showarrow = FALSE, align = 'right')
The primary goal I would like to accomplish is to order this by the variable qt (from A to C). But if this is impossible, ordering the plot by y is also desirable (from q1 to q7). My plot looks like this:
Thank you in advance!
Could someone help me please to upgrade my plot?
a) In the plot, there should be print only one y-scale per row.
b) To print a more comfortable legend, that means
1) change the order of symbols and description,
2) print line in the same x-position like superpose.symbols,
3) and print symbols for the histogram.
d1 <- data.frame(x=c(NA, 13:20, NA), y = 25, z = c(rep('march', 5),
rep("april", 5)), color = c(c(rep(c("red", "green"), 2), "red"),
c(rep(c("blue", "yellow"), 2), "blue")), stringsAsFactors = FALSE)
d2 <- data.frame(x=c(NA, 20:27, NA), y = 23, z = c(rep('may', 5),
rep("june", 5)), color = c(c(rep(c("blue", "red"), 2), "red"),
c(rep(c("blue", "yellow"), 2), "blue")), stringsAsFactors = FALSE)
d1<-rbind(d1,d2)
sup.sym <- trellis.par.get("superpose.symbol")
sup.sym$alpha<-c(1, 0, 0, 0, 0, 0, 0)
sup.sym$col<-c(1,2,3,4,5,6,7)
sup.lin <- trellis.par.get("superpose.line")
sup.lin$col<-c(1,2,7,5,5,6,7)
sup.lin$alpha<-c(0, 1, 1, 1, 0, 0, 0)
settings<-list(superpose.symbol = sup.sym,superpose.line = sup.lin)
xyplot(y ~ x | factor(z), data = d1
,ylim = list( c(22, 26),c(22, 26), c(0, 1),c(0, 1) )
,layout=c(2,2)
,scales = list(y = list( relation = "free" ))
,par.settings = settings
,auto.key = list(text = c("A","B","C", "D")
,space = "right"
,lines = TRUE
)
,panel = function(x, y, subscripts) {
if(panel.number()>2){
panel.histogram(x,breaks=3)
}else{
panel.xyplot(x = x, y = y,
subscripts=subscripts,
col = d1[subscripts, "color"])
}
})