Below is the working code to plot two different data series with different
units on the same graph, with the same x co-ordinates:
import pylab
# generate some data
x = range(0, 10)
y1 = [i*i for i in x]
y2 = [pylab.sin(0.4*i) for i in x]
# the data share x axis but have different y units
figure = pylab.gcf() # Get the current figure
orig_axis = pylab.gca() # Get the current axis
orig_axis.set_axis_off() # Turn it off to avoid complications
# use this for the overlapping axes
box = [0.14, 0.14, 0.72, 0.72]
# This uses the first set of data
axis1 = figure.add_axes(box, label = 'axis1')
axis1.set_title('TITLE')
axis1.plot(x, y1, '-^y')
axis1.set_ylabel('AXIS 1 LABEL')
axis1.set_xlabel('SHARED X LABEL')
axis1.spines['right'].set_visible(False)
# This uses the second set of data
# Note the same box region is used but the label must be different
axis2 = figure.add_axes(box, label = 'axis2')
axis2.plot(x, y2, '-sb')
axis2.yaxis.set_ticks_position('right')
axis2.yaxis.set_label_position('right')
axis2.set_ylabel('AXIS 2 LABEL')
axis2.spines['bottom'].set_visible(False)
axis2.spines['top'].set_visible(False)
axis2.spines['left'].set_visible(False)
# Write out to a file
pylab.savefig('out.png', dpi = 100, transparent = True)
Issues:
1) I can't use show() in this case because there is no Transparent
parameter.
2) It's still a botch.
3) I tried using alpha but it didn't seem to work at all?
Does anyone have a better implementation of this or better ideas?
Many thanks
James
------------------------------------------------------------------------------
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
