Is it possible to generate line plots with standard error in Tensorboard?
It would be enough to plot three separate lines and using something similar to matplotlib.fill_between, or in the worst of the cases, plotting vertical error bars.
Related
i am creating a scatter plot with series of points, these points are clustered in some regions, so text associated to the points are overlapping. I tried using adjust text package, it kind of solved the problem, but some lines are intersecting, which i don't want to happen. I am trying to tune parameters given to adjust text, so far no success.
I have attached my script and chart o/p below. PS: i have disguised the text of each points
Any thoughts or suggestions
from adjustText import adjust_text
adjust_text(texts,expand_objects=(10,10),force_points=(25,25),lim=1000,force_text=
(50,50),only_move={'points':'xy','texts':'xy'},arrowprops=dict(arrowstyle="-
>",color="r",lw=0.5))
I have a data which I am trying to plot. However when I call plot function, I get a weird line. How can I get rid of this thing and why does it occur ?
The plot function draws lines between points. If there is a "weird" line, then it means you are providing two consecutive points that form that line
I've included two potential plot legend styles below. The first, where each curve/marker gets its own description, is pretty typical in matplotlib. But is there a way in matplotlib to achieve the second plot legend, where multiple curves are combined into one line of description? Thank you!
Is there any (simple or complex) way to recreate this plot in matplotlib?
I've tried plotting it using a scatter plot with two different x-values, while adding a small random number to it, but obviously it didn't produce the nice "ordered" effect seen above.
There's a package built on top of matplotlib called beeswarm that positions the points as requested.
I have the following graph, consisting of several lines:
Now, I would like to label all the lines in the plot. However, using legend() crams all the labels together in a box, which makes the plot somewhat difficult to interpret. What I'd like to to instead is to use inline labels. My ideal output would use labels like the following matplotlib contour plot, but with text labels for lines instead of numbers:
I haven't been able to find out how to do this in the matplotlib documentation. Is there a way to achieve this? If not, what other software could I use to generate this type of plot?
May I suggest another solution to your problem. Since in your case legend overlaps the charts you might just want to move the legend outside of the plot.
Method do move legend outside of plot is described here:
Moving matplotlib legend outside of the axis makes it cutoff by the figure box