matplotlib-users Mailing List for matplotlib

Yes I did.
I'm using version 1.2 on linux.
A friend of mine runs similar scripts on windows and she has no problems.
Can it have something to do with version number?
On Fri, Feb 7, 2014 at 6:56 PM, Sterling Smith <sm...@fu...>wrote:
> Claude,
>
> Did you try
> ax3 = ax1.twinx()
> ?
>
> -Sterling
>
> On Feb 7, 2014, at 1:30AM, mariusz sapinski wrote:
>
> > Hi, I'm trying to get a plot with multiple axes on the righ, and it
> does not work. Attached is the plot: the second axis (ax2) is not correctly
> plotted. The code is below. What is wrong? Why the labels and ticks are
> displayed on the left axis?
> >
> > Many thanks for your suggestions,
> >
> > Claude
> >
> >
> ...
> > # Q signal axis:
> > ax2 = ax1.twinx()
> ...
> > # Q heaters:
> > ax3 = ax2.twinx()
>
>

Claude,
Did you try
ax3 = ax1.twinx()
?
-Sterling
On Feb 7, 2014, at 1:30AM, mariusz sapinski wrote:
> Hi, I'm trying to get a plot with multiple axes on the righ, and it does not work. Attached is the plot: the second axis (ax2) is not correctly plotted. The code is below. What is wrong? Why the labels and ticks are displayed on the left axis?
> 
> Many thanks for your suggestions,
> 
> Claude
> 
> 
...
> # Q signal axis:
> ax2 = ax1.twinx()
...
> # Q heaters:
> ax3 = ax2.twinx()

Hi, I'm trying to get a plot with multiple axes on the righ, and it does
not work. Attached is the plot: the second axis (ax2) is not correctly
plotted. The code is below. What is wrong? Why the labels and ticks are
displayed on the left axis?
Many thanks for your suggestions,
Claude
 import numpy
import pylab
# function needed:
def make_patch_spines_invisible(ax):
ax.set_frame_on(True)
ax.patch.set_visible(False)
for sp in ax.spines.itervalues():
sp.set_visible(False)
# lists:
timeBLM=[]
sigBLM=[]
timeQPS=[]
sigQPS=[]
# file to open:
file = open("WSQT_PMdata.csv","r")
for line in file:
 tokens=line.split()
i=len(tokens)
timeBLM.append(float(tokens[0]))
sigBLM.append(float(tokens[1]))
if i==4:
timeQPS.append(float(tokens[2]))
sigQPS.append(float(tokens[3]))
file.close()
# convert lists to numpy arrays:
NtimeQPS = numpy.array(timeQPS)
NsigQPS = numpy.array(sigQPS)
NtimeBLM = numpy.array(timeBLM)
NsigBLM = numpy.array(sigBLM)
#now also QPS heaters:
timeHeaters=numpy.array([-0.56, 0, 0.003, 0.005, 0.01, 0.015, 0.02, 0.025])
sigHeaters=numpy.array([2.999,2.753,2.316,1.960,1.667,1.422,1.218,1.047])
# B data:
fig = pylab.figure(1,figsize=(8,6))
pylab.grid(True)
pylab.title("Wire scanner quech test data")
fig.autofmt_xdate()
fig.subplots_adjust(right=0.77)
ax1 = fig.add_subplot(111)
ax1.set_xlabel("time [s]",fontsize=15)
ax1.set_ylabel("BLM signal [Gy/s]",fontsize=15)
ax1.set_xlim([-0.1,0.027])
ax1.set_ylim([0.,3.]);
ax1.plot(NtimeBLM,NsigBLM,'black',label='BLM signal')
# Q signal axis:
ax2 = ax1.twinx()
ax2.set_ylabel("QPS voltage [V]",fontsize=15,color = 'red')
ax2.set_xlim([-0.1,0.027])
ax2.set_ylim([-0.01,0.3])
for tl2 in ax2.get_yticklabels():
tl2.set_color('red')
tl2.set_fontsize(15)
ax2.plot(NtimeQPS,NsigQPS,color='red',lw=2.5,label = 'QPS signal')
# Q heaters:
ax3 = ax2.twinx()
make_patch_spines_invisible(ax3)
ax3.spines["right"].set_position(("axes", 1.2))
ax3.spines["right"].set_visible(True)
ax3.set_ylabel("quench heaters", fontsize=15, color = 'green')
ax3.set_xlim([-0.1,0.03])
ax3.set_ylim([0.,5.])
ax3.set_color('green')
for tl in ax3.get_yticklabels():
tl.set_color('green')
tl.set_fontsize(15)
ax3.plot(timeHeaters,sigHeaters,color = 'green',lw=2.5,label = 'quench
heaters')
# check object ID
print 'idax1=',id(ax1)
print 'idax2=',id(ax2)
print 'idax3=',id(ax3)
handles1, labels1 = ax1.get_legend_handles_labels()
handles2, labels2 = ax2.get_legend_handles_labels()
handles3, labels3 = ax3.get_legend_handles_labels()
ax1.legend(handles1+handles2+handles3, labels1+labels2+labels3,loc
=(0.07,0.75),prop={'size':11}, shadow = False)
# show plot on the screen:
pylab.show()