I have a code for plotting 3d scatterplot in python that updates after every 2 seconds (plot is dynamic). I wish to be able to adjust the values of some of the parameters on line (while plotting happens) based on which the plotting happens. Is it possible to give a textbox along with the plot from which we can take as input the required parameter value based on which this plot will then be subsequently modified?
Matplotlib does not have a textbox (or other text entry) widget. To use a textbox, you would need to embed a matplotlib graph within a separate GUI framework. To do this, decide on the GUI framework you want to use (qt, wx, gtk, or tkinter), and a textbox widget from the gui framework, and then add the plot from matplotlib. This isn't difficult and there are lots of available examples, generally best found for each specific framework you're interested in.
There might also be other pure matplotlib approaches that could work for you, such as using a matplotlib slider widget, or you could directly capture keyboard events, but without knowing exactly what you're going to for, it's hard to say.
Related
The idea would be that you'd have some 2D library for your GUI like PyGame and then draw the plots into the window generated by the library instead of an independent window generated by matplotlib. Allowing for user input and plot viewing in the same window.
I don't have any specific 2D library in mind, I'm not super familiar with Python libraries.
The only way I could find is by saving the plots to a file and then rendering that, but that seems extremely costly for real-time rendering (which is what I'm considering).
You can embed a plot from matplotlib into a tkinter app, check out their documentation here!
https://matplotlib.org/3.1.0/gallery/user_interfaces/embedding_in_tk_sgskip.html
Tkinter is a built-in package with cross platform support.
I am using Python's scientific plotting library matplotlib. I am trying to use matplotlib to show an image using imshow. I would like to be able to adjust the color range with in the figure with some type of UI. From what I can tell, there isn't a built-in way to do this in matplotlib, and I have found much on this issue. This is a fairly common use-case and easy to do in MATLAB. How does one do this in matplotlib?
I'm assuming you want to change the cmap attribute. You could use the built-in function input to read some new value from the command line (not really a GUI) or you could use the matplotlib.widgets package which includes e.g. a slider and buttons (see this link for examples).
I have created a little GUI with QT which set's up a single matplotlib figure and axes.
The GUI has controls to change just about everything to do with the appearance of the axes.
Basically, it does this by each widget emitting signals back up to the main frame and it calls the appropriate matplotlib setters on the axes and figure objects.
However, it is possible for the axes (and therefore the image displayed on the FigureCanvas) to change without input from the GUI (e.g. when autoscaling, or adding certain plots which adjust the axes automatically).
In this case, a widget controlling e.g. the limits of the x axis will now be displaying the wrong values.
I would like all the relevant widgets to update when the axes updates....how could I possible achieve this?
I'm thinking that this is a problem that has been solved before - how to enable a two-way communication between distinct objects?
fig.canvas.draw()
time.sleep(1e-2)
whenever anything writes to the plot? however it's hard to help with no code.
Showing an example of how your code is not working would help a lot.
EDIT:
I'll try this again then:
What about getting the state of the plot you are updating? I guess its what #Ajean means by updater method. I know that Artists in matplotlib have an Artist.properties() method that returns all of the properties and values.
I imagine Axes would have a similar method.
A quick look at the matplotlib docs yielded 2 interesting methods of axes:
ax.get_autoscale_on()
and
ax.set_autoscale_on().
ax.set_autoscale_on(False) will prevent plots from updating the state of the axes.
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.
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.