Multiple line chart using plotly r - r

Question

I have a data frame which I am trying to plot using plotly as multiple line chart.Below is how the dataframe looks like:
Month_considered pct.x pct.y pct
<fct> <dbl> <dbl> <dbl>
1 Apr-17 79.0 18.4 2.61
2 May-17 78.9 18.1 2.99
3 Jun-17 77.9 18.7 3.42
4 Jul-17 77.6 18.5 3.84
5 Aug-17 78.0 18.3 3.70
6 Sep-17 78.0 18.9 3.16
7 Oct-17 77.6 18.9 3.49
8 Nov-17 77.6 18.4 4.01
9 Dec-17 78.5 18.0 3.46
10 Jan-18 79.3 18.4 2.31
11 2/1/18 78.9 19.6 1.48
When I iterate through to plot multiple lines below is the code used.
colNames <- colnames(delta)
p <-
plot_ly(
atc_seg_master,
x = ~ Month_considered,
type = 'scatter',
mode = 'line+markers',
line = list(color = 'rgb(205, 12, 24)', width = 4)
)
for (trace in colNames) {
p <-
p %>% plotly::add_trace(y = as.formula(paste0("~`", trace, "`")), name = trace)
}
p %>%
layout(
title = "Trend Over Time",
xaxis = list(title = ""),
yaxis = list (title = "Monthly Count of Products Sold")
)
p
This is how the output looks like
My question is how to remove trace 0 and month_considered to remove from the chart even though its not in colnames which I loop through to add the lines.

Answer 1

It looks like you were getting tripped up by two things:
When you initially defined p and included the data and x arguments, a trace was created -- trace 0. You can define a plot without providing any data or x values to start by just using p <- plot_ly() along with any desired layout features.
When you loop through the column names, your x axis column, Month_Considered is part of the set. You can exclude this by using setdiff() (part of base R) to create a vector with all of your column names except for Months_Considered
Putting those two things together, one way (of many possible) to accomplish what you're going for is as follows:
library(plotly)
df <- data.frame(Month_Considered = seq.Date(from = as.Date("2017-01-01"), by = "months", length.out = 12),
pct.x = seq(from = 70, to = 80, length.out = 12),
pct.y = seq(from = 30, to = 40, length.out = 12),
pct = seq(from = 10, to = 20, length.out = 12))
## Define a blank plot with the desired layout (don't add any traces yet)
p <- plot_ly()%>%
layout(title = "Trend Over Time",
xaxis = list(title = ""),
yaxis = list (title = "Monthly Count of Products Sold") )
## Make sure our list of columns to add doesnt include the Month Considered
ToAdd <- setdiff(colnames(df),"Month_Considered")
## Add the traces one at a time
for(i in ToAdd){
p <- p %>% add_trace(x = df[["Month_Considered"]], y = df[[i]], name = i,
type = 'scatter',
mode = 'line+markers',
line = list(color = 'rgb(205, 12, 24)', width = 4))
}
p