crossbar | Crossbar.io - WAMP application router | Websocket library
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kandi X-RAY | crossbar Summary
Crossbar.io - WAMP application router
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Top functions reviewed by kandi - BETA
- Monitor to monitor the status of the gate .
- Requests the delegate key .
- Process a publish message .
- performs a workgroup placement on a node .
- Start a component .
- Start a native worker .
- Read reflection schema .
- Takes the reactor and displays it .
- internal authentication .
- Process a register .
crossbar Key Features
crossbar Examples and Code Snippets
case class PWMParams(address: BigInt, beatBytes: Int)
trait PWMTLBundle extends Bundle {
val pwmout = Output(Bool())
}
trait PWMTLModule {
val io: PWMTLBundle
implicit val p: Parameters
def params: PWMParams
class DMADevice(implicit p: Parameters) extends LazyModule {
val node = TLClientNode(TLClientParameters(
name = "dma-device", sourceId = IdRange(0, 1)))
lazy val module = new DMADeviceModule(this)
}
class DMADeviceMo
class CustomAccelerator(implicit p: Parameters) extends LazyRoCC {
override lazy val module = new CustomAcceleratorModule(this)
}
class CustomAcceleratorModule(outer: CustomAccelerator) extends LazyRoCCModule(outer) {
val cmd
Community Discussions
Trending Discussions on crossbar
QUESTION
I was wondering if it's possible to draw a dotted line that corresponds to the mean value of my data in a box plot.
I know that there is possible to draw shapes with stat_summary()
like for example drawing a + corresponding to the mean with stat_summary(fun.y=mean, shape="+", size=1, color = "black")
nearest thing is using the geom="crossbar"
but this is not dotted.
The idea is to get this graphed
...ANSWER
Answered 2022-Apr-17 at 18:19You could achieve your desired result by setting linetype="dotted"
:
QUESTION
I would like to create a boxplot-like graph in ggplot, except that the height of the boxes reflects 95% confidence intervals around the mean. I will eventually overlay a mean crossbar and raw data points, but the main sticking point is creating a custom "box". geom_box doesn't seem to have the capability, and I'm having trouble with geom_rect because the x-axis is categorical and so I have no idea what to put for xmin & xmax? Or maybe there's a better way than geom_rect? I know pirateplot will create graphs like this, but I find their formatting options too limiting.
Thanks, Wythe (reprex below)
...ANSWER
Answered 2022-Jan-03 at 01:59You can use stat = "identity"
with geom_boxplot
to plot the summary statistics as-is:
QUESTION
ANSWER
Answered 2021-Dec-19 at 20:07A couple of things. First, you need to reassign e
when you add geom_violin
and stat_summary
. Otherwise, it isn't carrying those changes forward when you add the boxplot in the next step. Second, when you add the boxplot last, it is mapping over the points and error bars from stat_summary
so it looks like they're disappearing. If you add the boxplot first and then stat_summary
the points and error bars will be placed on top of the boxplot. Here is an example:
QUESTION
I am trying to add a text element with further information on the x-axis (once) on the left side of my x-axis text of a faceted ggplot (not repeat it every facet):
I failed until now having tried several approaches:
- geom_text (appears within the plot)
- annotating function (appears within the plot in every facet)
- axis.title.x (can't customize the position as desired, namely x=- 1 and y=-1 more or less)
- mtext (not suitable for ggplot)
My code:
...ANSWER
Answered 2021-Sep-07 at 10:01One option would be to make use of geom_text
like so:
Important is to add coord_cartesian(clip = "off", ylim = c(1, NA))
to fix the y scale and to prevent the label from being clipped off.
Additionally you have to make some space for the label which I did by increasing the plot margins.
QUESTION
I'm trying to replicate this image. I was able to plot a scatter plot and the median (but it's not continuous). I failed to plot the percentiles. The median varies according to different spell length.
...ANSWER
Answered 2021-Sep-05 at 21:58geom_line() for each specific line style/group
Red lines geom_hline()
QUESTION
I am trying to create a plot like the one below. I'd like the order the points in each category in such a way that they form an s-shape. Is it possible to do this in ggplot?
Similar data available here
What I have so far:
...ANSWER
Answered 2021-Jun-20 at 16:01This could be achieved by
- grouping the data by x-axis categories
- arranging by the y-axis value
which ensures that the points are plotted in ascending order of the values for each category.
QUESTION
Hi I am using proguard in my android application and I am also using external libs and getting error for the class of that lib. How shoud I add this lib in proguard rules.
How I have added lib in the gradle:
...ANSWER
Answered 2021-May-26 at 07:41Have you tried the below?
QUESTION
I've set up my own custom scrollbar with CSS, and I'd like to know know how to only apply these settings to my vertical crossbar.
I've looked up other posts to fix this, but haven't been successful in implementing their solutions in my project.
Any fix that either removes my horizontal scrollbar completely or resets its settings to default would be greatly appreciated.
Here's my code:
...ANSWER
Answered 2021-May-08 at 21:34The questioner have faced a problem that a WebKit engine won't allow him to remove customized horizontal scrollbar.
It seems that the implementation of such a removal vary from one browser to another and there's no universal way to hide scrollbars.
QUESTION
I have a data frame like so:
...ANSWER
Answered 2020-Aug-31 at 16:54What you are looking for is to dodge the crossbar geom. For example:
QUESTION
ANSWER
Answered 2020-Aug-08 at 03:05Your geom="crossbar" is giving you that issue. You can use show.legend=FALSE in stat_summary to resolve this. See below code and corresponding output:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install crossbar
You can use crossbar like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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