Plotting graphs lines based on column values from the same datafram using Plotly

问题

I am trying to plot a line graph of different types of cars sold per day in ** plotly ** on ** R **. The way the graph would look is that, it would have line graphs of each type of car that was sold on each day. So lets say I have the dataframe called ** df1 **

id      date       Value 
Honda    10/30/12   2
Honda    10/31/12   3
Honda    11/1/12    3
Merc     11/2/12    4
Merc    10/30/12    1
Merc    10/31/12    2
Toyota   11/1/12    3
Toyota   11/3/12    2

Now I want three lines(one line for each type of car) on the same x axis.

I tried using the filter() function inside plotly in the y axis argument as shown below:

plot_ly(df1,x=~date)%>% 
add_trace(y=filter(df1,id=="Honda")$value,name="Honda",mode="lines+markers")%>%
add_trace(y=filter(df1,id=="Merc")$value,name="Honda",mode="lines+markers")%>%
add_trace(y=filter(df1,id=="Toyota")$value,name="Honda",mode="lines+markers")%>%
layout(xaxis=list(title="Date"),yaxis=list(title="Cars Sold"))

However I am getting the error

Error: Tibble columns must have consistent lengths, only values of length one are recycled: * Length 3: Column y * Length 8: Column x Call `rlang::last_erro()

I get that its throwing an error, due to having more x values while being given less y values, how do I cater it?

回答1:

I didn't see the same error (without trace type specified, it drew a histogram).

library(plotly)

df1 <- data.frame(
  id = c("Honda", "Honda", "Honda", "Merc", "Merc", "Merc", "Toyota", "Toyota"),
  date = c('10/30/12', '10/31/12', '11/1/12', '11/2/12', '10/30/12', '10/31/12', '11/1/12', '11/3/12'),
  Value = c(2, 3, 3, 4, 1, 2, 3, 2)
)

df1$date <- as.Date(df1$date, "%m/%d/%y")

plot_ly(df1,x=~date)%>% 
  add_trace(y=filter(df1,id=="Honda")$value,name="Honda",mode="lines+markers")%>%
  add_trace(y=filter(df1,id=="Merc")$value,name="Honda",mode="lines+markers")%>%
  add_trace(y=filter(df1,id=="Toyota")$value,name="Honda",mode="lines+markers")%>%
  layout(xaxis=list(title="Date"),yaxis=list(title="Cars Sold"))

> plot_ly(df1,x=~date)%>% 
+   add_trace(y=filter(df1,id=="Honda")$value,name="Honda",mode="lines+markers")%>%
+   add_trace(y=filter(df1,id=="Merc")$value,name="Honda",mode="lines+markers")%>%
+   add_trace(y=filter(df1,id=="Toyota")$value,name="Honda",mode="lines+markers")%>%
+   layout(xaxis=list(title="Date"),yaxis=list(title="Cars Sold"))
No trace type specified:
  Based on info supplied, a 'histogram' trace seems appropriate.
  Read more about this trace type -> https://plot.ly/r/reference/#histogram

You don't need to filter by each car type. Instead use group_by before calling plot_ly --- perhaps this is what you had in mind:

df1 %>%
  group_by(id) %>%
  plot_ly(x=~date, y=~Value, type='scatter', color=~id, mode="lines+markers") %>%
  layout(xaxis=list(title="Date"),yaxis=list(title="Cars Sold"))

来源：https://stackoverflow.com/questions/56953875/plotting-graphs-lines-based-on-column-values-from-the-same-datafram-using-plotly

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