Hi everyone,
I am plotting a figure where I need two independent x axes and two
independent y axes. I've tried to use both twinx and twiny at the
same time, and this works to some extent, but it looks like it is
plotting the labels for the bottom x axis and the right-hand y axis
twice, which makes me think that I must be doing something wrong (the
numbers appear more 'bold'). The code is below. Is there a better way
to do this?
In reality, I don't need a different scale for the opposite axes, but
I want to specify different Locator functions, but I assume that
creating a new axes instance as done below is the only way to do this?
Thanks for any advice,
Thomas
###
fig = figure()
ax = fig.add_subplot(111)
ax2 = ax.twinx().twiny()
for tick in ax.yaxis.get_major_ticks():
tick.label1On = True
tick.label2On = False
tick.tick1On = True
tick.tick2On = False
for tick in ax.xaxis.get_major_ticks():
tick.label1On = True
tick.label2On = False
tick.tick1On = True
tick.tick2On = False
for tick in ax2.yaxis.get_major_ticks():
tick.label1On = False
tick.label2On = True
tick.tick1On = False
tick.tick2On = True
for tick in ax2.xaxis.get_major_ticks():
tick.label1On = False
tick.label2On = True
tick.tick1On = False
tick.tick2On = True
ax.scatter([0.4],[0.6])
ax2.scatter([10.],[10.])
draw()
###
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