I'm (ultra) new to Julia and I'm trying to figure out how to interact with a plot. To be more specific, currently I use Pyplot do display different kinds of data (in one instance I just plot multiple curves via plot() and in the other I plot the values of a 2d array as heatmaps via imshow()).
I want to be able to click on these images and handle the clicking as event in the code. Upon searching I only find old posts that say "this is currently not featured".
Does anyone have suggestions on where to look/ what to do?
Thanks in advance.
Related
I am plotting multiples signals overlapping in one figure using matplotlib and then saving it in pdf/eps using matplotlib.pyplot.savefig, the problem is that when I try to insert the figure in a pdf-latex file, it takes like 1.5 min to load because it starts rendering every plot. Is there any way to properly save or create these plots in one figure?
The final pdf works perfectly when I use preview on macOS, regularly when I use edge or chrome navigators and it is a disaster if I use adobe-reader. I am looking for a multiplatform solution.
I am unable to produce any charts in Python (matplotlib 3.5.1) with the pandas DataFrame plot() method. A window opens and the axes return value is <AxesSubplot:> as opposed to returning an object like that prints as somethig like <matplotlib.axes._subplots.AxesSubplot at 0x7f3958bcf9d0>, which is what I usually see when the plot works.
The backend is QtAgg and as far as I can tell from a poke between fora pages that report a similar problem this should be all right. This is also not a problem with needing to run matplotlib.pyplot.ion() as I see a window open, but it is black with no plot in it.
Any advice would be useful, thanks!
I have resolved the (mis)behaviour without really being sure that I have resolved the issue responsible for this misbehaviour.
As looked around for a way out, I found this discussion (How to change backends in matplotlib / Python) which made a lot of getting the back end setting right. Wondering if that would make a difference, I changed the back end. The QtAgg back end loaded by default from the matplotlibrc file and so following the instructions in the post on how to permanently change the back end, I modified the file so that the back end is now Qt5Agg. The data now plots.
I'm trying to plot a series of plots one plot at a time. When a plot is displayed I want to be able to interact with it (i.e. zoom, pan, etc.) and wait until I'm done before the next plot is displayed.
I saw the post matplotlib plot and then wait for raw input, but I couldn't get it to work.
I'm using Spyder and Python 3.4.
Below is the code snippet of what I'd like to do. However the plots seem to get blocked by the waiting for input.
for i in range(4):
plt.figure()
plt.plot([x for x in range(100)],'x')
plt.show(block=False)
a=input('next plot')
If you are looking for interactive plots in Python, you might want to take a look at the Charts library. It enables you to use the excellent Highcharts javascript library to make beautiful and interactive plots. Highcharts uses the HTML svg tag so all your charts are actually vector images.
Some features:
Vector plots which you can download in .png, .jpg and .svg formats so you will never run into resolution problems
Interactive charts (zoom, slide, hover over points, ...)
Usable in an IPython notebook
Explore hundreds of data structures at the same time using the asynchronous plotting capabilities.
Disclaimer: I'm the developer of the library
I believe this is resolved in the recent matplotlib v.2.0.0 release. At least it resolved this problem for me.
Is it possible to plot pandas objects inside the PTVS interactive debugger? Is it possible to save plots to disk as jpeg's?
I think I was able to do this when I first started using PTVS (last year, its awesome by the way!) but I just tried again and I dont get any plots appearing. I cant remember if I had to do something special to get this to work and from doing some google searches I get a confusing picture of the current best practice in this regard.
I want to be able to plot diagrams from my debug interactive window, similar to what is shown on this pandas tutorial.
http://pandas.pydata.org/pandas-docs/stable/visualization.html
Is this possible?
Visual Studio Professional 2013 update 4 (latest I think)
PTVS 2.1.21008.00 (latest I think)
All help is greatly appreciated.
-Jason
[edit: more info on this http://pytools.codeplex.com/discussions/574776 ]
Unfortunately not. The regular interactive has an IPython mode that, among other things, enables inline plots. But the Debug interactive doesn't have that.
You can, of course, still load matplotlib in the Debug interactive and tell it to plot things. But because there's no integration of event loops between it and VS in that mode, the plots will basically work like modal windows - you won't be able to continue debugging or otherwise interact with VS until you close the plot window.
Would it be possible to "subclass" a Chart in Excel to create a modified version of it?
My wish is for an Improved Bubble/XY Chart in Excel. With the native chart, I can create charts of varying X, Y and Bubble Size, such as:
In a recent project, I wanted to classify these bubbles into groups A and B based on some given criteria, and using different colors was the solution I found. I also wanted to label each bubble on a per-row basis. I had to use a simple VBA Macro to color the bubbles and add labels dynamically, but the end result was quite nice:
In the end, I was left wondering. My programming experience is mostly in Python, so naturally I though of subclassing the regular Chart to allow for a more user friendly experience, such as customizable colors, categories and being able to pick labels from a Range. Is that possible in VBA?
Most of the tips for VBA subclassing that I have found online refer to using the Windows API and subclassing UserForms, but that is not exactly what I want.