When I run this as it is, and zoom once the top x-axis ticklabels disappear:
http://img2.imageshack.us/img2/5493/zoom1.png
After commenting these three lines:
#locator = MinuteLocator(interval=1)
#locator = SecondLocator(interval=30)
#par2.xaxis.set_major_locator(locator)
and running I get somewhat nice view after zooms:
http://img340.imageshack.us/img340/6632/zoom2.png
with a minute discrepancy; resulting with shifts on the top x-labels.
Any last thoughts?
On Sun, Sep 27, 2009 at 2:12 PM, Jae-Joon Lee <lee.j.j...@gmail.com> wrote:
> Here it is.
>
> -JJ
>
> On Sun, Sep 27, 2009 at 3:09 PM, Gökhan Sever <gokhanse...@gmail.com>
> wrote:
> > JJ,
> >
> > Could you please re-attach the code? Apparently, it has been forgotten on
> > your reply.
> >
> > Thanks.
> >
> > On Sun, Sep 27, 2009 at 1:50 PM, Jae-Joon Lee <lee.j.j...@gmail.com>
> wrote:
> >>
> >> Here is the modified version of your code that works for me.
> >>
> >> 1) If you change trans_aux, you also need to plot your data in an
> >> appropriate coordinate. Your original code did not work because you
> >> scaled the xaxis of the second axes (par) but you were still plotting
> >> the original data, i.e., "time" need to be scaled if you want to plot
> >> it on "par". The code below takes slightly different approach.
> >>
> >> 2) I fount that I was wrong with the factor of 3600. It needs to be
> >> 86400, i.e., a day in seconds. Also, The unit must be larger than 1.
> >> Again, please take a look how datetime unit works.
> >>
> >> Regards,
> >>
> >> -JJ
> >>
> >>
> >> import numpy as np
> >> import matplotlib.pyplot as plt
> >> import matplotlib.transforms as mtransforms
> >> from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
> >>
> >>
> >> # Prepare some random data and time for seconds-from-midnight (sfm)
> >> representation
> >> ydata1 = np.random.random(100) * 1000
> >> ydata2 = np.ones(100) / 2.
> >> time = np.arange(3550, 3650)
> >>
> >>
> >> fig = plt.figure()
> >> host = SubplotHost(fig, 111)
> >> fig.add_subplot(host)
> >>
> >> # This is the heart of the example. We have to scale the axes correctly.
> >> aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600,
> >> ydata1.max())
> >> par = host.twin(aux_trans)
> >>
> >> host.set_xlabel("Time [sfm]")
> >> host.set_ylabel("Random Data 1")
> >> par.set_ylabel("Random Data 2")
> >> par.axis["right"].label.set_visible(True)
> >>
> >> p1, = host.plot(time, ydata1)
> >> p2, = par.plot(time, ydata2)
> >>
> >> host.axis["left"].label.set_color(p1.get_color())
> >> par.axis["right"].label.set_color(p2.get_color())
> >>
> >> host.axis["bottom"].label.set_size(16)
> >> host.axis["left"].label.set_size(16)
> >> par.axis["right"].label.set_size(16)
> >>
> >> # Move the title little upwards so it won't overlap with the ticklabels
> >> title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18)
> >> title.set_position((0.5, 1.05))
> >>
> >> plt.show()
> >>
> >>
> >> On Sun, Sep 27, 2009 at 12:32 PM, Gökhan Sever <gokhanse...@gmail.com>
> >> wrote:
> >> > Hello,
> >> >
> >> > As was suggested by Jae-Joon, I have simplified the code for easier
> >> > investigation and run. The aim of the script is to have time
> represented
> >> > on
> >> > both bottom and top x-axes, on the bottom in seconds-from-midnight
> >> > (SFM),
> >> > and the top should show as HH:MM:SS, while there is two different data
> >> > source being used for y-axes. The code could be seen here or from
> >> > http://code.google.com/p/ccnworks/source/browse/trunk/double_time.py
> >> >
> >> > Currently something wrong with the scaling, since the right y-axis
> data
> >> > is
> >> > missing on the plotting area. Also, sfm hasn't been converted to
> >> > HH:MM:SS.
> >> > adding this: par.xaxis.set_major_formatter(DateFormatter('%H:%M:%S'))
> >> > doesn't remedy the situation as of yet.
> >> >
> >> > All comments are welcome.
> >> >
> >> > ### BEGIN CODE ###
> >> > #!/usr/bin/env python
> >> >
> >> > """
> >> >
> >> > Double time representation. Bottom x-axis shows time in
> >> > seconds-from-midnight
> >> > (sfm) fashion, whereas the top x-axis uses HH:MM:SS representation.
> >> >
> >> > Initially written by Gokhan Sever with helps from Jae-Joon Lee.
> >> >
> >> > Written: 2009-09-27
> >> >
> >> > """
> >> >
> >> > import numpy as np
> >> > import matplotlib.pyplot as plt
> >> > import matplotlib.transforms as mtransforms
> >> > from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
> >> >
> >> >
> >> > # Prepare some random data and time for seconds-from-midnight (sfm)
> >> > representation
> >> > ydata1 = np.random.random(100) * 1000
> >> > ydata2 = np.ones(100) / 2.
> >> > time = np.arange(3550, 3650)
> >> >
> >> >
> >> > fig = plt.figure()
> >> > host = SubplotHost(fig, 111)
> >> > fig.add_subplot(host)
> >> >
> >> > # This is the heart of the example. We have to scale the axes
> correctly.
> >> > aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600,
> >> > ydata1.max())
> >> > par = host.twin(aux_trans)
> >> >
> >> > host.set_xlabel("Time [sfm]")
> >> > host.set_ylabel("Random Data 1")
> >> > par.set_ylabel("Random Data 2")
> >> > par.axis["right"].label.set_visible(True)
> >> >
> >> > p1, = host.plot(time, ydata1)
> >> > p2, = par.plot(time, ydata2)
> >> >
> >> > host.axis["left"].label.set_color(p1.get_color())
> >> > par.axis["right"].label.set_color(p2.get_color())
> >> >
> >> > host.axis["bottom"].label.set_size(16)
> >> > host.axis["left"].label.set_size(16)
> >> > par.axis["right"].label.set_size(16)
> >> >
> >> > # Move the title little upwards so it won't overlap with the
> ticklabels
> >> > title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18)
> >> > title.set_position((0.5, 1.05))
> >> >
> >> > plt.show()
> >> > ### END CODE ###
> >> >
> >> >
> >> > --
> >> > Gökhan
> >> >
> >> >
> >> >
> ------------------------------------------------------------------------------
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> >> > developing skills, take BlackBerry mobile applications to market and
> >> > stay
> >> > ahead of the curve. Join us from November 9-12, 2009. Register
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> >> > _______________________________________________
> >> > Matplotlib-users mailing list
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> >> >
> >> >
> >
> >
> >
> > --
> > Gökhan
> >
>
--
Gökhan
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