hi all,
i am trying to make scatter plots with marginal histograms shown in the same
plot, using the recently checked in example 'scatter_hist.py'. i want the
scatter plot to have an equal aspect ratio, but when i do this, the scales
of the marginal histograms get out of sync. for example, the code below
makes the main scatter plot look as it should but is out of sync with the
scales of the histograms:
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import NullFormatter
from numpy.random import normal
from frame import FrameAxes
from numpy import *
def scatter_hist(x, y, num_bins=20):
nullfmt = NullFormatter() # no labels
left, width = 0.1, 0.65
bottom, height = 0.1, 0.65
bottom_h = left_h = left+width+0.02
rect1 = [left, bottom, width, height]
rect2 = [left, bottom_h, width, 0.2]
rect3 = [left_h, bottom, 0.2, height]
axScatter = plt.axes(rect1)
axHistx = plt.axes(rect2)#, sharex=axScatter)
axHisty = plt.axes(rect3)#, sharey=axScatter)
axHistx.xaxis.set_major_formatter(nullfmt)
axHisty.yaxis.set_major_formatter(nullfmt)
axScatter.set_aspect('equal')
axScatter.scatter(x, y)
c = .05
bins = np.linspace(min(x)-c,max(x)+c,num_bins)
axHistx.hist(x, bins=bins)
axHisty.hist(y, bins=bins, orientation='horizontal')
axHistx.set_xlim(axScatter.get_xlim())
axHisty.set_ylim(axScatter.get_ylim())
x = np.random.randn(1000)
y = np.random.randn(1000)
scatter_hist(x,y)
plt.show()
if i pass the 'sharex' and 'sharey' arguments to 'axes' (see commented lines
in code above), then the dimensions are in sync, but the NullFormatter from
these lines:
axHistx.xaxis.set_major_formatter(nullfmt)
axHisty.yaxis.set_major_formatter(nullfmt)
removes the axes from the main scatter plot. i simply want the scatter plot
to have both x and y axes, and the marginal histograms to only have the
yaxis, but have their dimensions be in sync with the square scatter plot.
how can i do this?
thanks very much.
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