I have built a GUI with matplotlib and it contains several plots of values versus time. Now I need a special plot which just shows if a value is on or off (binary state).
Kinda like a control lamp on an analog control panel. I have 5 of those on/off values and I dont know how to do it the best way.
The "lamps" must be updateable because I stream the data from serial and analyze it in real time in my GUI.
I attached a picture where you see my current GUI. In the bottom right corner is now a bar chart, I tried to visualize the ON/OFF state with a bar, but it didn't work well and I wasn't able to animate it.
So yeah, how could I display 5 values with each an ON/OFF state in that area?
Instead of passing via bar charts I would directly plot a number of rectangles and then dynamically change their color.
You can find the documentation for rectangular patches here: http://matplotlib.org/api/patches_api.html#matplotlib.patches.Rectangle
If you need some pointers on how to animate such a patch have a look here:
https://nickcharlton.net/posts/drawing-animating-shapes-matplotlib.html
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I am drawing a pie chart out of provided data, and this can potentially get out of hand as the length of the labels can be pretty long, and there can be a lot of them overlapping each other. Because of this, it is crucial to find a good startangle parameter to my pie chart drawing.
Conceptually, I want to use a mouse scroll event to rotate the whole pie chart by 5 degrees every time the user uses the scroll wheel. Rotating the wedges isn't too much trouble with their theta1 and theta2 properties, but repositioning the labels and autotexts is serious trouble because of alignment properties and the lining up with wedges. I also want to retain an interactive frame rate, so clearing the figure and redrawing is not an option.
Here is one such situation where this is useful. The labels are too big and rotating the whole pie chart would help reposition them in sight. Of course in this case it would be enough to resize the chart instead of rotating but you get my point.
Is there a way to achieve this that does not imply rewriting the entire label and autotext positioning code for my own use?
In particular, I'm wondering if it wouldn't be possible to do something that is conceptually equivalent to making the same pyplot.pie call as before, only with a different startangle. Alternatively, maybe Text objects have methods I can use for positioning them around the newly rotated wedges that spare me working with just positions and sizes.
I've got a matplotlib plot in which I've modified the toolbar/status bar information much as in this question. This works just fine and the necessary information is displayed as I need it.
However, I often need to update the plot (which is done by calling draw() on the canvas object) with new data. What happens though is that the toolbar/status bar information won't update until the mouse is moved again. I'd like this information to update as soon as the canvas is redrawn because some of this information is pertinent to the new plot.
My attempt at making this happen was to force a mouse motion event to trigger. I've tried to trigger the event from the canvas via self.canvas.motion_notify_event(0,0) but that doesn't seem to work well. I can see that the toolbar itself has a mouse_move method, but I don't know how to trigger it (or even if it's what I want to trigger).
How can I force the toolbar/status bar information to update during a plot redraw without requiring the user to move their mouse slightly?
Did a lot of digging and figured it out. The motion_notify_event method was what I was looking for, I was just using it wrong. You can fake matplotlib out and trigger a MouseEvent by using this function, which will then make matplotlib call all functions that respond to MouseEvents, including updating the toolbar/status bar information.
The key here is that I needed to trigger the MouseEvent as if it happened within the axes object, not the entire figure. The input to the function is the (x,y) pixel position of the event with respect to the lower left corner of the figure window. By using (0,0) as I did in my question, I was saying the mouse event happened at the lower left corner of the figure window, not on the axes itself. Matplotlib does not show toolbar/status bar information unless the cursor is on the axes.
What you can do then is pick some random pixel position on the axes and use that as the position. A simple way to pick such a pixel position is using matplotlib transformations.
The following now works for me:
canvas.motion_notify_event(*ax.transAxes.transform([0,0]))
Of course in my case I'm not displaying the data coordinates of the mouse, so your use cases may vary.
I'm writing a web interface for a database of genes values of some experiments with CGI in Python and I want to draw a graph for the data queried. I'm using matplotlib.pyplot, draw a graph, save it, and perform it on the web page. But usually there are many experiments queried hence there are a lot of values. Sometimes I want to know which experiment does one value belong to because it's a big value, whereas it's hard to identify because the picture is small in size. The names of the experiments are long strings so that it will mess the x axis if I put all the experiment names on the x axis.
So I wonder if there is a way to draw a graph that can interact with users, i.e. if I point my mouse to some part on the graph, there would be one small window appears and tells me the exact value and what is the experiment name here. And the most important is, I can use this function when I put the graph on the web page.
Thank you.
What you want is basically D3.js rendering of your plots. As far as I know, there are currently three great ways of achieving this, all under rapid development:
MPLD3 for creating graphs with Matplotlib and serving them as interactive web graphics (see examples in Jake's blog post).
Plotly where you can either generate the plots directly via Plotly or from Matplotlib figures (e.g. using matplotlylib) and have them served by Plotly.
Bokeh if you do not mind moving away from Matplotlib.
I would like to be able to have a user drag points across an XY-plane, resulting in a histogram (in Python 3.3).
Consider the following picture, in which the red shows the motion the mouse made (start of arrow is the CLICK, end of the arrow is when the user LETS GO):
Is there any package this could be accomplished in, or do you consider would be of great help? The goal is to be able to create a discrete histogram having this shape.
I guess what I need is to be able to record a dragged path?
In R you can use locator() to register left mouse clicks on the current device. You could take these locations and build the histogram from this. I'm quite sure this will only works with discrete clicks, not a smooth dragging motion. See ?locator() for more details about this function.
http://pygooglechart.slowchop.com/
Is a Python wrapper for the Google Chart API.
Just take a look at the Documentation.
Especially check the Examples from the github
https://github.com/gak/pygooglechart/tree/master/examples
Is there already a python package allowing to graphically edit the graph of a function?
Chaco is designed to be very interactive, and is significantly more so than matplotlib. For example, the user can use the mouse to drag the legend to different places on a plot, or lasso data, or move a point around on one plot and change the results in another, or change the color of a plot by clicking on a swatch, etc.