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John Hunter wrote: > On Thu, Jan 15, 2009 at 4:58 PM, Ryan May <rm...@gm...> wrote: > >> Ok, my debugging tells me the problem comes down to the units support, >> specifically this code starting at line 130 in units.py: >> >> if converter is None and iterable(x): >> # if this is anything but an object array, we'll assume >> # there are no custom units >> if isinstance(x, np.ndarray) and x.dtype != np.object: >> return None >> >> for thisx in x: >> converter = self.get_converter( thisx ) >> return converter >> >> Because a string is iterable, and even a single character is considered iterable, >> this code recurses forever. I can think this can be solved by, in addition to >> the iterable() check, make sure that x is not string like. If it is, this will >> return None as the converter. Somehow, this actually will then plot properly. >> I'm still trying to run down why this works, but I'm running out of time for the >> day. I will say that the data set for the line2D object is indeed a masked array >> of dtype ('|S4'). >> >> Anyone object to adding the check? > > Nope -- good idea Ok, I'll check it in when I have a chance to run backend_driver.py and makes sure nothing breaks. (Not that it should). I'll also take a crack at adding a test. For future reference, plotting lists/arrays of strings works (at least for lines) because Path calls .astype() on the arrays passed in, which will do the conversion for us. So (part of) matplotlib actually does support plotting sequences of string representations of numbers, it was just hindered by the unit check. >> In addition, why are we looping over thisx in x but returning inside the loop? >> Wouldn't this *always* be the same as x[0]? > > The loop works for generic iterables that are not indexable and also > for length 0 iterables Ok, that makes sense. Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma
Ryan May wrote: > Ok, my debugging tells me the problem comes down to the units support, > specifically this code starting at line 130 in units.py: > > if converter is None and iterable(x): > # if this is anything but an object array, we'll assume > # there are no custom units > if isinstance(x, np.ndarray) and x.dtype != np.object: > return None > > for thisx in x: > converter = self.get_converter( thisx ) > return converter > > Because a string is iterable, and even a single character is considered iterable, > this code recurses forever. I can think this can be solved by, in addition to > the iterable() check, make sure that x is not string like. If it is, this will Doing this check makes sense. > return None as the converter. Somehow, this actually will then plot properly. > I'm still trying to run down why this works, but I'm running out of time for the > day. I will say that the data set for the line2D object is indeed a masked array > of dtype ('|S4'). > > Anyone object to adding the check? > > In addition, why are we looping over thisx in x but returning inside the loop? > Wouldn't this *always* be the same as x[0]? > The idea is to base the converter selection on the first item instead of checking every item, which would be very slow. > Ryan >
On Thu, Jan 15, 2009 at 4:58 PM, Ryan May <rm...@gm...> wrote: > Ok, my debugging tells me the problem comes down to the units support, > specifically this code starting at line 130 in units.py: > > if converter is None and iterable(x): > # if this is anything but an object array, we'll assume > # there are no custom units > if isinstance(x, np.ndarray) and x.dtype != np.object: > return None > > for thisx in x: > converter = self.get_converter( thisx ) > return converter > > Because a string is iterable, and even a single character is considered iterable, > this code recurses forever. I can think this can be solved by, in addition to > the iterable() check, make sure that x is not string like. If it is, this will > return None as the converter. Somehow, this actually will then plot properly. > I'm still trying to run down why this works, but I'm running out of time for the > day. I will say that the data set for the line2D object is indeed a masked array > of dtype ('|S4'). > > Anyone object to adding the check? Nope -- good idea > In addition, why are we looping over thisx in x but returning inside the loop? > Wouldn't this *always* be the same as x[0]? The loop works for generic iterables that are not indexable and also for length 0 iterables JDH
Ryan May wrote: > Neal Becker wrote: >> What's wrong here? >> This code snippet: >> >> from pylab import plot, show >> print Id >> print pout >> >> plot (Id, pout) >> show() >> >> produces: >> ['50', '100', '150', '200', '250', '300', '350', '400', '450', '500', '550', >> '600', '650', '700', '750', '800', '850', '900', '950', '1000', '1050'] >> ['0', '7.4', '11.4', '14.2', '16.3', '18.1', '19.3', '20.6', '21.6', '22.6', >> '23.4', '24.1', '24.9', '25.4', '26.1', '26.5', '26.9', '27.1', '27.3', >> '27.4', '27.4'] > > The problem here is that you're trying to plot lists of strings instead of lists > of numbers. You need to convert all of these values to numbers. However, > matplotlib could behave a bit more nicely in this case rather than simply > recursing until it hits the limit. Ok, my debugging tells me the problem comes down to the units support, specifically this code starting at line 130 in units.py: if converter is None and iterable(x): # if this is anything but an object array, we'll assume # there are no custom units if isinstance(x, np.ndarray) and x.dtype != np.object: return None for thisx in x: converter = self.get_converter( thisx ) return converter Because a string is iterable, and even a single character is considered iterable, this code recurses forever. I can think this can be solved by, in addition to the iterable() check, make sure that x is not string like. If it is, this will return None as the converter. Somehow, this actually will then plot properly. I'm still trying to run down why this works, but I'm running out of time for the day. I will say that the data set for the line2D object is indeed a masked array of dtype ('|S4'). Anyone object to adding the check? In addition, why are we looping over thisx in x but returning inside the loop? Wouldn't this *always* be the same as x[0]? Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma
Neal Becker wrote: > What's wrong here? > This code snippet: > > from pylab import plot, show > print Id > print pout > > plot (Id, pout) > show() > > produces: > ['50', '100', '150', '200', '250', '300', '350', '400', '450', '500', '550', > '600', '650', '700', '750', '800', '850', '900', '950', '1000', '1050'] > ['0', '7.4', '11.4', '14.2', '16.3', '18.1', '19.3', '20.6', '21.6', '22.6', > '23.4', '24.1', '24.9', '25.4', '26.1', '26.5', '26.9', '27.1', '27.3', > '27.4', '27.4'] The problem here is that you're trying to plot lists of strings instead of lists of numbers. You need to convert all of these values to numbers. However, matplotlib could behave a bit more nicely in this case rather than simply recursing until it hits the limit. Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma