add_trace: control the linetype without warning
I am writing a function which returns a plotly object. I managed to control the colors already. However I have trouble controlling the linetype. Currently I use something like:
plot_ly(colors=c(rep(c("#CD0C18","#1660A7"),each=3),'#9467bd'),linetypes = c(rep(c("dot","dash","solid"),2),"dot")) %>%
add_trace(data=long_data,x=~month,y=~temperature,color=~measure,linetype=~measure,type="scatter",mode="lines",line=list(width=4)) %>%
layout(title = "Average High and Low Temperatures in New York",
xaxis = list(title = "Months", categoryorder="array", categoryarray=month),
yaxis = list (title = "Temperature (degrees F)"))
which returns me a warning:
Warning message:
plotly.js only supports 6 different linetypes
The warning makes sense, since measure
has seven levels. However I would like to control the linetype
without getting a warning every time I have more than 6 traces to plot - is there a way?
My sample data:
month <- c('January', 'February', 'March', 'April', 'May', 'June', 'July',
'August', 'September', 'October', 'November', 'December')
high_2000 <- c(32.5, 37.6, 49.9, 53.0, 69.1, 75.4, 76.5, 76.6, 70.7, 60.6, 45.1, 29.3)
low_2000 <- c(13.8, 22.3, 32.5, 37.2, 49.9, 56.1, 57.7, 58.3, 51.2, 42.8, 31.6, 15.9)
mid_2000 <-apply(rbind(high_2000,low_2000),2,mean)
high_2007 <- c(36.5, 26.6, 43.6, 52.3, 71.5, 81.4, 80.5, 82.2, 76.0, 67.3, 46.1, 35.0)
low_2007 <- c(23.6, 14.0, 27.0, 36.8, 47.6, 57.7, 58.9, 61.2, 53.3, 48.5, 31.0, 23.6)
high_2014 <- c(28.8, 28.5, 37.0, 56.8, 69.7, 79.7, 78.5, 77.8, 74.1, 62.6, 45.3, 39.9)
low_2014 <- c(12.7, 14.3, 18.6, 35.5, 49.9, 58.0, 60.0, 58.6, 51.7, 45.2, 32.2, 29.1)
data <- data.frame(month, high_2000, low_2000,mid_2000, high_2007, low_2007, high_2014, low_2014)
long_data<-tidyr::gather(data,measure,temperature,-month)
r plotly
add a comment |
I am writing a function which returns a plotly object. I managed to control the colors already. However I have trouble controlling the linetype. Currently I use something like:
plot_ly(colors=c(rep(c("#CD0C18","#1660A7"),each=3),'#9467bd'),linetypes = c(rep(c("dot","dash","solid"),2),"dot")) %>%
add_trace(data=long_data,x=~month,y=~temperature,color=~measure,linetype=~measure,type="scatter",mode="lines",line=list(width=4)) %>%
layout(title = "Average High and Low Temperatures in New York",
xaxis = list(title = "Months", categoryorder="array", categoryarray=month),
yaxis = list (title = "Temperature (degrees F)"))
which returns me a warning:
Warning message:
plotly.js only supports 6 different linetypes
The warning makes sense, since measure
has seven levels. However I would like to control the linetype
without getting a warning every time I have more than 6 traces to plot - is there a way?
My sample data:
month <- c('January', 'February', 'March', 'April', 'May', 'June', 'July',
'August', 'September', 'October', 'November', 'December')
high_2000 <- c(32.5, 37.6, 49.9, 53.0, 69.1, 75.4, 76.5, 76.6, 70.7, 60.6, 45.1, 29.3)
low_2000 <- c(13.8, 22.3, 32.5, 37.2, 49.9, 56.1, 57.7, 58.3, 51.2, 42.8, 31.6, 15.9)
mid_2000 <-apply(rbind(high_2000,low_2000),2,mean)
high_2007 <- c(36.5, 26.6, 43.6, 52.3, 71.5, 81.4, 80.5, 82.2, 76.0, 67.3, 46.1, 35.0)
low_2007 <- c(23.6, 14.0, 27.0, 36.8, 47.6, 57.7, 58.9, 61.2, 53.3, 48.5, 31.0, 23.6)
high_2014 <- c(28.8, 28.5, 37.0, 56.8, 69.7, 79.7, 78.5, 77.8, 74.1, 62.6, 45.3, 39.9)
low_2014 <- c(12.7, 14.3, 18.6, 35.5, 49.9, 58.0, 60.0, 58.6, 51.7, 45.2, 32.2, 29.1)
data <- data.frame(month, high_2000, low_2000,mid_2000, high_2007, low_2007, high_2014, low_2014)
long_data<-tidyr::gather(data,measure,temperature,-month)
r plotly
I want a solution usingplotly
. I know I can get this fromggplot2
.
– 5th
Dec 29 '18 at 13:33
Did you trysuppressWarnings
?
– Maximilian Peters
Dec 29 '18 at 15:50
Nah. I want to use this in a function. Therefore suppressing the warning cripples the function - I mean if I set e.g. the grid-value to "dashed", I want to receive a warning :)
– 5th
Dec 29 '18 at 16:10
add a comment |
I am writing a function which returns a plotly object. I managed to control the colors already. However I have trouble controlling the linetype. Currently I use something like:
plot_ly(colors=c(rep(c("#CD0C18","#1660A7"),each=3),'#9467bd'),linetypes = c(rep(c("dot","dash","solid"),2),"dot")) %>%
add_trace(data=long_data,x=~month,y=~temperature,color=~measure,linetype=~measure,type="scatter",mode="lines",line=list(width=4)) %>%
layout(title = "Average High and Low Temperatures in New York",
xaxis = list(title = "Months", categoryorder="array", categoryarray=month),
yaxis = list (title = "Temperature (degrees F)"))
which returns me a warning:
Warning message:
plotly.js only supports 6 different linetypes
The warning makes sense, since measure
has seven levels. However I would like to control the linetype
without getting a warning every time I have more than 6 traces to plot - is there a way?
My sample data:
month <- c('January', 'February', 'March', 'April', 'May', 'June', 'July',
'August', 'September', 'October', 'November', 'December')
high_2000 <- c(32.5, 37.6, 49.9, 53.0, 69.1, 75.4, 76.5, 76.6, 70.7, 60.6, 45.1, 29.3)
low_2000 <- c(13.8, 22.3, 32.5, 37.2, 49.9, 56.1, 57.7, 58.3, 51.2, 42.8, 31.6, 15.9)
mid_2000 <-apply(rbind(high_2000,low_2000),2,mean)
high_2007 <- c(36.5, 26.6, 43.6, 52.3, 71.5, 81.4, 80.5, 82.2, 76.0, 67.3, 46.1, 35.0)
low_2007 <- c(23.6, 14.0, 27.0, 36.8, 47.6, 57.7, 58.9, 61.2, 53.3, 48.5, 31.0, 23.6)
high_2014 <- c(28.8, 28.5, 37.0, 56.8, 69.7, 79.7, 78.5, 77.8, 74.1, 62.6, 45.3, 39.9)
low_2014 <- c(12.7, 14.3, 18.6, 35.5, 49.9, 58.0, 60.0, 58.6, 51.7, 45.2, 32.2, 29.1)
data <- data.frame(month, high_2000, low_2000,mid_2000, high_2007, low_2007, high_2014, low_2014)
long_data<-tidyr::gather(data,measure,temperature,-month)
r plotly
I am writing a function which returns a plotly object. I managed to control the colors already. However I have trouble controlling the linetype. Currently I use something like:
plot_ly(colors=c(rep(c("#CD0C18","#1660A7"),each=3),'#9467bd'),linetypes = c(rep(c("dot","dash","solid"),2),"dot")) %>%
add_trace(data=long_data,x=~month,y=~temperature,color=~measure,linetype=~measure,type="scatter",mode="lines",line=list(width=4)) %>%
layout(title = "Average High and Low Temperatures in New York",
xaxis = list(title = "Months", categoryorder="array", categoryarray=month),
yaxis = list (title = "Temperature (degrees F)"))
which returns me a warning:
Warning message:
plotly.js only supports 6 different linetypes
The warning makes sense, since measure
has seven levels. However I would like to control the linetype
without getting a warning every time I have more than 6 traces to plot - is there a way?
My sample data:
month <- c('January', 'February', 'March', 'April', 'May', 'June', 'July',
'August', 'September', 'October', 'November', 'December')
high_2000 <- c(32.5, 37.6, 49.9, 53.0, 69.1, 75.4, 76.5, 76.6, 70.7, 60.6, 45.1, 29.3)
low_2000 <- c(13.8, 22.3, 32.5, 37.2, 49.9, 56.1, 57.7, 58.3, 51.2, 42.8, 31.6, 15.9)
mid_2000 <-apply(rbind(high_2000,low_2000),2,mean)
high_2007 <- c(36.5, 26.6, 43.6, 52.3, 71.5, 81.4, 80.5, 82.2, 76.0, 67.3, 46.1, 35.0)
low_2007 <- c(23.6, 14.0, 27.0, 36.8, 47.6, 57.7, 58.9, 61.2, 53.3, 48.5, 31.0, 23.6)
high_2014 <- c(28.8, 28.5, 37.0, 56.8, 69.7, 79.7, 78.5, 77.8, 74.1, 62.6, 45.3, 39.9)
low_2014 <- c(12.7, 14.3, 18.6, 35.5, 49.9, 58.0, 60.0, 58.6, 51.7, 45.2, 32.2, 29.1)
data <- data.frame(month, high_2000, low_2000,mid_2000, high_2007, low_2007, high_2014, low_2014)
long_data<-tidyr::gather(data,measure,temperature,-month)
r plotly
r plotly
edited Jan 10 at 15:08
5th
asked Dec 29 '18 at 13:30
5th5th
8271922
8271922
I want a solution usingplotly
. I know I can get this fromggplot2
.
– 5th
Dec 29 '18 at 13:33
Did you trysuppressWarnings
?
– Maximilian Peters
Dec 29 '18 at 15:50
Nah. I want to use this in a function. Therefore suppressing the warning cripples the function - I mean if I set e.g. the grid-value to "dashed", I want to receive a warning :)
– 5th
Dec 29 '18 at 16:10
add a comment |
I want a solution usingplotly
. I know I can get this fromggplot2
.
– 5th
Dec 29 '18 at 13:33
Did you trysuppressWarnings
?
– Maximilian Peters
Dec 29 '18 at 15:50
Nah. I want to use this in a function. Therefore suppressing the warning cripples the function - I mean if I set e.g. the grid-value to "dashed", I want to receive a warning :)
– 5th
Dec 29 '18 at 16:10
I want a solution using
plotly
. I know I can get this from ggplot2
.– 5th
Dec 29 '18 at 13:33
I want a solution using
plotly
. I know I can get this from ggplot2
.– 5th
Dec 29 '18 at 13:33
Did you try
suppressWarnings
?– Maximilian Peters
Dec 29 '18 at 15:50
Did you try
suppressWarnings
?– Maximilian Peters
Dec 29 '18 at 15:50
Nah. I want to use this in a function. Therefore suppressing the warning cripples the function - I mean if I set e.g. the grid-value to "dashed", I want to receive a warning :)
– 5th
Dec 29 '18 at 16:10
Nah. I want to use this in a function. Therefore suppressing the warning cripples the function - I mean if I set e.g. the grid-value to "dashed", I want to receive a warning :)
– 5th
Dec 29 '18 at 16:10
add a comment |
1 Answer
1
active
oldest
votes
As can be seen here, the warning arises in
validLinetypes <- as.character(Schema$traces$scatter$attributes$line$dash$values)
if (length(pal) > length(validLinetypes)) {
warning("plotly.js only supports 6 different linetypes", call. = FALSE)
}
So, if you want to disable this warning alone, there are only two things you can do: override the whole function or manually extend Schema$traces$scatter$attributes$line$dash$values
. The latter is somewhat less intrusive and can be done with
tmp <- plotly:::Schema
tmp$traces$scatter$attributes$line$dash$values <- c(tmp$traces$scatter$attributes$line$dash$values, rep(NA, 100))
assignInNamespace("Schema", tmp, ns = "plotly")
Here we add NA
100 times so that up to 106 line types now wouldn't provoke a warning. The last line overrides the Schema
variable with tmp
in the plotly
package environment.
The vector Schema$traces$scatter$attributes$line$dash$values
only gets used (through validLinetypes
) here four times, and looking at those it seems like this cheating doesn't have any likely side effects.
@5th, did that help?
– Julius Vainora
Jan 1 at 19:00
yes it solved the issue. I decided to make one version where I go around this problem and another where I use your solution.
– 5th
Jan 10 at 15:07
add a comment |
Your Answer
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As can be seen here, the warning arises in
validLinetypes <- as.character(Schema$traces$scatter$attributes$line$dash$values)
if (length(pal) > length(validLinetypes)) {
warning("plotly.js only supports 6 different linetypes", call. = FALSE)
}
So, if you want to disable this warning alone, there are only two things you can do: override the whole function or manually extend Schema$traces$scatter$attributes$line$dash$values
. The latter is somewhat less intrusive and can be done with
tmp <- plotly:::Schema
tmp$traces$scatter$attributes$line$dash$values <- c(tmp$traces$scatter$attributes$line$dash$values, rep(NA, 100))
assignInNamespace("Schema", tmp, ns = "plotly")
Here we add NA
100 times so that up to 106 line types now wouldn't provoke a warning. The last line overrides the Schema
variable with tmp
in the plotly
package environment.
The vector Schema$traces$scatter$attributes$line$dash$values
only gets used (through validLinetypes
) here four times, and looking at those it seems like this cheating doesn't have any likely side effects.
@5th, did that help?
– Julius Vainora
Jan 1 at 19:00
yes it solved the issue. I decided to make one version where I go around this problem and another where I use your solution.
– 5th
Jan 10 at 15:07
add a comment |
As can be seen here, the warning arises in
validLinetypes <- as.character(Schema$traces$scatter$attributes$line$dash$values)
if (length(pal) > length(validLinetypes)) {
warning("plotly.js only supports 6 different linetypes", call. = FALSE)
}
So, if you want to disable this warning alone, there are only two things you can do: override the whole function or manually extend Schema$traces$scatter$attributes$line$dash$values
. The latter is somewhat less intrusive and can be done with
tmp <- plotly:::Schema
tmp$traces$scatter$attributes$line$dash$values <- c(tmp$traces$scatter$attributes$line$dash$values, rep(NA, 100))
assignInNamespace("Schema", tmp, ns = "plotly")
Here we add NA
100 times so that up to 106 line types now wouldn't provoke a warning. The last line overrides the Schema
variable with tmp
in the plotly
package environment.
The vector Schema$traces$scatter$attributes$line$dash$values
only gets used (through validLinetypes
) here four times, and looking at those it seems like this cheating doesn't have any likely side effects.
@5th, did that help?
– Julius Vainora
Jan 1 at 19:00
yes it solved the issue. I decided to make one version where I go around this problem and another where I use your solution.
– 5th
Jan 10 at 15:07
add a comment |
As can be seen here, the warning arises in
validLinetypes <- as.character(Schema$traces$scatter$attributes$line$dash$values)
if (length(pal) > length(validLinetypes)) {
warning("plotly.js only supports 6 different linetypes", call. = FALSE)
}
So, if you want to disable this warning alone, there are only two things you can do: override the whole function or manually extend Schema$traces$scatter$attributes$line$dash$values
. The latter is somewhat less intrusive and can be done with
tmp <- plotly:::Schema
tmp$traces$scatter$attributes$line$dash$values <- c(tmp$traces$scatter$attributes$line$dash$values, rep(NA, 100))
assignInNamespace("Schema", tmp, ns = "plotly")
Here we add NA
100 times so that up to 106 line types now wouldn't provoke a warning. The last line overrides the Schema
variable with tmp
in the plotly
package environment.
The vector Schema$traces$scatter$attributes$line$dash$values
only gets used (through validLinetypes
) here four times, and looking at those it seems like this cheating doesn't have any likely side effects.
As can be seen here, the warning arises in
validLinetypes <- as.character(Schema$traces$scatter$attributes$line$dash$values)
if (length(pal) > length(validLinetypes)) {
warning("plotly.js only supports 6 different linetypes", call. = FALSE)
}
So, if you want to disable this warning alone, there are only two things you can do: override the whole function or manually extend Schema$traces$scatter$attributes$line$dash$values
. The latter is somewhat less intrusive and can be done with
tmp <- plotly:::Schema
tmp$traces$scatter$attributes$line$dash$values <- c(tmp$traces$scatter$attributes$line$dash$values, rep(NA, 100))
assignInNamespace("Schema", tmp, ns = "plotly")
Here we add NA
100 times so that up to 106 line types now wouldn't provoke a warning. The last line overrides the Schema
variable with tmp
in the plotly
package environment.
The vector Schema$traces$scatter$attributes$line$dash$values
only gets used (through validLinetypes
) here four times, and looking at those it seems like this cheating doesn't have any likely side effects.
edited Dec 30 '18 at 13:37
answered Dec 29 '18 at 23:34
Julius VainoraJulius Vainora
35.3k76079
35.3k76079
@5th, did that help?
– Julius Vainora
Jan 1 at 19:00
yes it solved the issue. I decided to make one version where I go around this problem and another where I use your solution.
– 5th
Jan 10 at 15:07
add a comment |
@5th, did that help?
– Julius Vainora
Jan 1 at 19:00
yes it solved the issue. I decided to make one version where I go around this problem and another where I use your solution.
– 5th
Jan 10 at 15:07
@5th, did that help?
– Julius Vainora
Jan 1 at 19:00
@5th, did that help?
– Julius Vainora
Jan 1 at 19:00
yes it solved the issue. I decided to make one version where I go around this problem and another where I use your solution.
– 5th
Jan 10 at 15:07
yes it solved the issue. I decided to make one version where I go around this problem and another where I use your solution.
– 5th
Jan 10 at 15:07
add a comment |
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I want a solution using
plotly
. I know I can get this fromggplot2
.– 5th
Dec 29 '18 at 13:33
Did you try
suppressWarnings
?– Maximilian Peters
Dec 29 '18 at 15:50
Nah. I want to use this in a function. Therefore suppressing the warning cripples the function - I mean if I set e.g. the grid-value to "dashed", I want to receive a warning :)
– 5th
Dec 29 '18 at 16:10