matplotlib-users Mailing List for matplotlib

hmm... forgot to attach the images...
---
I found another issue with plot_date. Dont have a simple example yet, and 
hope that this is something 'obvious' and I don't have to bother.
I attach two images showing the issue. I can go get rid of the weird scaling 
in 'bad.png' when I do:
ax.viewLim.intervalx().set_bounds(minXValueImPlotting, maxXValueImPlotting)
after:
ax.autoscale_view()
I also noticed a couple of things inside axes.py, that might be wrong:
1)
 def get_ylim(self):
 "Get the y axis range [ymin, ymax]"
 return self.viewLim.intervalx().get_bounds()
should that intervax() be intervaly() ??
2) panx() and pany() are different as well, but perhaps they should be..
Changin these two things does not fix my problem so it has to be something 
else - hoping a simple typo. Will try to write a demo script that shows 
this... (I have matplotlib wrapped into other code so its not really a 
copy/paste-all type deal).
Peter
John Hunter wrote:
>>>>>>"Michael" == Michael Hauser <ha...@na...> writes:
>
>
>
> Michael> Hello, I am having a problem with plot_date. I keep
> Michael> getting the error:
>
> Michael> Am I missing something obvious?
>
>No, there is a bug in plot_date in setting the tick formatter object.
>I didn't find this in any of my test or example scripts since all
>those explicitly set the formatter and hence hid the bug. At the end
>of the Axes.plot_date function in matplotlib.axes, replace
>
> self.xaxis.set_minor_locator(formatter)
>
>with self.xaxis.set_major_formatter(formatter)
>
>and you'll be good to go. Note however that there is a problem with
>your script in that the length of your x and y arrays must be the
>same. After making the changes above, try
>
>from datetime import datetime
>from matplotlib.dates import EpochConverter
>from matplotlib.matlab import *
>
>times = [1084195314, 1084195375, 1084195436, 1084195497, 1084195557]
>vals = [10.2, 11.1, 8.7, 12.1, 12.2]
>converter = EpochConverter()
>ax = subplot(111)
>plot_date(times, vals, converter)
>savefig('test')
>show()
>
>
>
>
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I found another issue with plot_date. Dont have a simple example yet, and 
hope that this is something 'obvious' and I don't have to bother.
I attach two images showing the issue. I can go get rid of the weird scaling 
in 'bad.png' when I do:
ax.viewLim.intervalx().set_bounds(minXValueImPlotting, maxXValueImPlotting)
after:
ax.autoscale_view()
I also noticed a couple of things inside axes.py, that might be wrong:
1)
 def get_ylim(self):
 "Get the y axis range [ymin, ymax]"
 return self.viewLim.intervalx().get_bounds()
should that intervax() be intervaly() ??
2) panx() and pany() are different as well, but perhaps they should be..
Changin these two things does not fix my problem so it has to be something 
else - hoping a simple typo. Will try to write a demo script that shows 
this... (I have matplotlib wrapped into other code so its not really a 
copy/paste-all type deal).
Peter
John Hunter wrote:
>>>>>>"Michael" == Michael Hauser <ha...@na...> writes:
>
>
> Michael> Hello, I am having a problem with plot_date. I keep
> Michael> getting the error:
>
> Michael> Am I missing something obvious?
>
>No, there is a bug in plot_date in setting the tick formatter object.
>I didn't find this in any of my test or example scripts since all
>those explicitly set the formatter and hence hid the bug. At the end
>of the Axes.plot_date function in matplotlib.axes, replace
>
> self.xaxis.set_minor_locator(formatter)
>
>with self.xaxis.set_major_formatter(formatter)
>
>and you'll be good to go. Note however that there is a problem with
>your script in that the length of your x and y arrays must be the
>same. After making the changes above, try
>
>from datetime import datetime
>from matplotlib.dates import EpochConverter
>from matplotlib.matlab import *
>
>times = [1084195314, 1084195375, 1084195436, 1084195497, 1084195557]
>vals = [10.2, 11.1, 8.7, 12.1, 12.2]
>converter = EpochConverter()
>ax = subplot(111)
>plot_date(times, vals, converter)
>savefig('test')
>show()
>
>
>
>
>-------------------------------------------------------
>This SF.Net email is sponsored by the new InstallShield X.
>From Windows to Linux, servers to mobile, InstallShield X is the
>one installation-authoring solution that does it all. Learn more and
>evaluate today! http://www.installshield.com/Dev2Dev/0504
>_______________________________________________
>Matplotlib-users mailing list
>Mat...@li...
>https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>