Hi,
I wrote an abline_plot function, and I'm curious if what I'm doing is the
best way to go about this. I tried unsuccessfully to get the transforms to
do what I want, but I'm not sure if it's possible. What I came up with is
to use callbacks to draw an "infinite" line. It works, but it seems a bit
sluggish. Does anyone have any thoughts on improvements, anything I'm
missing, or an alternative implementation? The only problem I see right now
is that it assumes ax only has one ABLine2D child.
Thanks,
Skipper
import numpy as np
from matplotlib.lines import Line2D
import matplotlib.pyplot as plt
### Generate some data
intercept = 1.3
slope = .5
x = np.random.random(25)
y_noise = intercept + slope * x + np.random.randn(25)
### Set up the plot
fig = plt.figure()
ax = fig.add_subplot(111)
ax.scatter(x, y_noise)
class ABLine2D(Line2D):
def update_datalim(self, ax):
ax.set_autoscale_on(False)
children = ax.get_children()
abline = [children[i] for i in range(len(children))
if isinstance(children[i], ABLine2D)][0]
x = ax.get_xlim()
y = [x[0]*slope+intercept, x[1]*slope+intercept]
abline.set_data(x,y)
ax.figure.canvas.draw()
line = ABLine2D(x, y)
ax.add_line(line)
ax.callbacks.connect('xlim_changed', line.update_datalim)
ax.callbacks.connect('ylim_changed', line.update_datalim)
plt.show()
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