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def testdocs(setting):
wavelength = np.array([0,2,4,6,8,10])
flux = np.array([3.,1.5,0.5,1,2,2.5])
#text from docs
if (setting=='row'):
print "each subplot row will share a Y axis."
elif (setting=='col'):
print """each subplot column will share a Y axis and the y tick labels
on all but the last row will have visible set to False."""
else:
return
sharex = False
sharey = setting
nrow = 2
ncol = 3
fig, axlist = plt.subplots(nrow, ncol, sharex=sharex, sharey=sharey)
length = len(wavelength)
for i, axrow in enumerate(axlist):
for j, axes in enumerate(axrow):
if (setting=='row'):
axes.plot(wavelength*(i+1), flux*(j+1))
else:
axes.plot(wavelength*(j+1), flux*(i+j+1))
xtitle = 'foo'
ytitle = 'bar'
fig.text(0.5, 0.04, xtitle, ha='center', va='center')
fig.text(0.06, 0.5, ytitle, ha='center', va='center', rotation='vertical')
plt.show()
TAC : edited to fix formatting
The text was updated successfully, but these errors were encountered:
If "row", each subplot row will share a Y axis.
If "col", each subplot column will share a Y axis and the y tick
labels on all but the last row will have visible set to False.
I'm using matplotlib version 1.3.1. I think sharey description is incorrect,
as might be guessed from swapping x-y, row-col.
http://matplotlib.org/api/pyplot_api.html?highlight=subplots#matplotlib.pyplot.subplots
Call this function with argument 'row' or 'col'.
TAC : edited to fix formatting
The text was updated successfully, but these errors were encountered: