I'm trying to graph some data in an iTorch notebook. I can generate plots fine, but I want to change the endpoints of the axes. (My autogenerated y-axis is from 20-100, but I'd rather it be from 0-100 since it's a graph of percentages and I want the lower left corner to be the origin.)
I looked in the documentation, and in the list of methods implemented, and in the source code, but didn't find anything that lets me do this. I can zoom the generated graph, but it preserves aspect ratio, so I can't zoom just one of the axes.
Does anyone know how to do this? I'm half convinced this isn't implemented, but it seems like a very strange feature to leave out.
You can change the axis scale by mouse-scrolling over the axis ticks, and translate by drag-and-drop.
I know it's not ideal, but I had the same problem and that's the best I could find so far.
Related
Basically I'm building an area graph with Chart.js, the data that I'm using in order to build the graph usually contains a peak that is much higher than the rest of the points and the y-axis range of values will be to high, to notice the diference between the lower points and it wil seem almost as a parallel line to the x-axis as we can see in this image:
Graph with problems
The solution I want to try is to skip the values from the y-axis between the lower points and the peak of the graph, and accomplish a graph presentation similar to this one:
Solution graph sketch
As we can see at this sketch the y-axis has a normal scale until 300 but then as the next point is to far away from the other ones the y-axis values are skiped.
So what I want to know is if this jump on the values of the y-axis is possible to achieve with this library (Chart.js) and if so where can I find documentation about it, because I already looked everywhere and couldn't find a thing. If not I would ask you for recommendations of any other librarys where I could achieve this.
I would like to know how to set the axis range and achieve the same behavior that Google Image Charts had. Here is the example for the same request URL:
I.e., I have an y value on each 100th of x axis. Is there a way to easily define a dataset 'step' for Image Charts, or I have to create custom labels on x axis with chxl, which I would like to avoid?
Image-Charts founder here :)
Indeed, regarding axis range our documentation is (I hope) explicit:
In Google Image Charts specifying the chxr parameter changed the scale of the axis but not the dataset scale. In Image-Charts — because we think it's was the biggest usage issue with Google Image Charts — changing the axis scale through chxr also impact the whole dataset scale.
You must make an axis visible using the chxt parameter if you want to specify its range.
You will have to use axis range (chxr) to better specify what you want and the steps needed:
chxr=
<axis_index>,<start_val>,<end_val>,<opt_step>
|...|
<axis_index>,<start_val>,<end_val>,<opt_step>
I have a plot with 50 categories(states) that show on my X axis, but in my output they are on top of each other. I want my plot to be spread out engough/large enough that there is no overlap and you could determine the state value from the next.
NOTE: i used the coord_flip command, so I know that my X-axis is actually my Y in image and vice versa. I am just wondering what function I would use to fix problem.
You can always change the size of the text via themes(axis.text.x=element_text(size=...))...
But the easy answer here is that your plot will change appearance based on the aspect ratio. When you view in Rstudio, you can adjust the size of your plot and you'll see the rearrangement. Additionally, when you save, the plot, play around in particular to the height and width to get the ratio you want. ggsave('filename.png', width=??, height=??).
I'm trying to plot the cluster obtained from fuzzy c-means clustering.
The plot should look like this.
code for the plot
plot(data$Longitude, data$Latitude, main="Fuzzy C-Means",col=data$Revised, pch=16, cex=.6,
xlab="Longitude",ylab="Latitude")
library(maps)
map("state", add=T)
However, when I tried to use clusplot the plot is displaying in opposite direction(both top and bottom and left and right) as below.
I wanna know if there's a way to reverse the plot to show in the order as the above picture.
Also, for the very dense area, it's hard to find the ellipse label. I wanna know if there's a way to show the label inside the ellipse instead of outside.
code for 2nd pic
library(cluster)
clusplot(cbind(Geocode$Longitude, Geocode$Latitude), cluster, color=TRUE,shade=TRUE,
labels=4, lines=0,col.p=cluster,
xlab="Longitude",ylab="Latitude",cex=1)
clusplot is a function that performs a lot of magic for you. In particular it projects the data set - which happens in a way you don't like, unfortunately. (Also note the scales - it centered and scaled the data, too)
clusplot.default: Creates a bivariate plot visualizing a partition (clustering) of the data. All observation are represented by points in the plot, using principal components or multidimensional scaling.
As far as I can tell, clusplot doesn't have map support, but you will want such a map I guess...
While maybe you can use the s.x.2d parameter to specify the exact projection (and this way disable automatic scaling), it probably is still difficult to add the map. Maybe look at the source of clusplot instead, and take only the parts you want?
I have a VERY basic plot in R, and I'd like to solve two issues. Here is the code which produces the plot:
plot(o,n,bty="n",pch=21,cex=1.5,bg="gray",xlab="y",ylab="x",lwd=2)
And, here's the plot
There are two unwanted behaviors of this plot that I'm trying to fix. And I don't know how to do either one (nor do I understand why R doesn't do these things already...)
The X and Y axes do not meet. There is a gap near the origin in this plot. I want to remove that. The axes should touch, just like any other graph.
The data extends past the axis is both the X and Y direction. This clearly is unwanted. How can I fix this without having to manually make my own axis. Seems like there should be something more intuitive here.
bty="l".
You may also want to use something like:
xlim=c(0.02, 0.24), ylim=c(0.02, 0.24)
if you don't like the default limits of your two axes.
In general, check out ?par for guidance on both of these and many other options.
Try leaving out bty="n" or replacing it by bty="L" if you really do not want a box with edges above or on the right