matplotlib has an event handling API you can use to hook in to actions like the ones you’re referring to. The Event Handling page gives an overview of the events API, and there’s a (very) brief mention of the x- and y- limits events on the Axes page. The Axes instance supports callbacks through a … Read more
There a couple of different ways to go about this. You can monkey-patch ax.format_coord, similar to this official example. I’m going to use a slightly more “pythonic” approach here that doesn’t rely on global variables. (Note that I’m assuming no extent kwarg was specified, similar to the matplotlib example. To be fully general, you need … Read more
set useOffset to False: ax = plt.gca() ax.ticklabel_format(useOffset=False)
Here is a FuncAnimation example which I modified to pause on mouse clicks. Since the animation is driven by a generator function, simData, when the global variable pause is True, yielding the same data makes the animation appear paused. The value of paused is toggled by setting up an event callback: def onClick(event): global pause … Read more
I think you’ve almost got it. Is this what you want? from mpl_toolkits.mplot3d import Axes3D from mpl_toolkits.mplot3d.art3d import Poly3DCollection import matplotlib.pyplot as plt fig = plt.figure() ax = Axes3D(fig, auto_add_to_figure=False) fig.add_axes(ax) x = [0,1,1,0] y = [0,0,1,1] z = [0,1,0,1] verts = [list(zip(x,y,z))] ax.add_collection3d(Poly3DCollection(verts)) plt.show() You might also be interested in art3d.pathpatch_2d_to_3d.
You can use np.sign in combination with np.diff and np.argwhere to obtain the indices of points where the lines cross (in this case, the points are [ 0, 149, 331, 448, 664, 743]): import numpy as np import matplotlib.pyplot as plt x = np.arange(0, 1000) f = np.arange(0, 1000) g = np.sin(np.arange(0, 10, 0.01) * … Read more
Since you’ve tagged this question with sympy, I will give such an example. From the documentation: http://docs.sympy.org/latest/modules/plotting.html. from sympy import var, plot_implicit var(‘x y’) plot_implicit(x*y**3 – y*x**3)
There is an automatic margin set at the edges, which ensures the data to be nicely fitting within the axis spines. In this case such a margin is probably desired on the y axis. By default it is set to 0.05 in units of axis span. To set the margin to 0 on the x … Read more
First, what happens when T0 is not None? I would test that, then I would adjust the values I pass to plt.subplot(); maybe try values 131, 132, and 133, or values that depend whether or not T0 exists. Second, after plt.show() is called, a new figure is created. To deal with this, you can Call … Read more
You can use scatter for this, but that requires having numerical values for your key1, and you won’t have a legend, as you noticed. It’s better to just use plot for discrete categories like this. For example: import matplotlib.pyplot as plt import numpy as np import pandas as pd np.random.seed(1974) # Generate Data num = … Read more