Jae-Joon Lee wrote:
> On Wed, Jan 20, 2010 at 12:12 PM, Mario Mech <m...@meteo.uni-koeln.de> wrote:
>> the smallest value (0.0) is labeled with "-0.0". I just want to get rid of
>> the minus sign.
>>
>
> This is because the actual value is "-9.00000000e-06" (this inherits
> from the levels of contour).
> While I think we're fixing a wrong problem (the contour routine need
> to be fixed in my view), here is a workaround you may use.
Careful, that slight adjustment of the lower limit, when automatically
generated, is there for a reason (though I don't recall offhand where it
is arising and why). There may be a better way to do it--and we can try
to figure it out and implement it--but my advice in general is: don't
use automatically generated contour or contourf levels except for
exploratory, interactive work, when slight imperfections are acceptable.
Instead, figure out what levels you really want, and supply them
explicitly as one of the arguments.
Second and related advice: don't fiddle directly with tick labels except
as a *last* resort. Instead, take care in selecting tick values, and if
necessary, customize the Formatter.
The fact that a default Formatter is writing -0.0 strikes me as a bug
that should be fixed in the Formatter; but it would be good to have more
opinions about this.
Eric
>
> -JJ
>
> import numpy as np
> from matplotlib import pyplot,mpl
>
> x = np.arange(10)
> y = np.arange(25)
> z = np.floor(10*np.random.random((25,10)))
>
> cntr = pyplot.contourf(x,y,z)
>
> cb = pyplot.colorbar(format=r"%2.1f")
>
>
> ticklabel_seq = cb.ax.yaxis.major.formatter.seq
> try:
> indx = ticklabel_seq.index("-0.0")
> ticklabel_seq[indx]="0.0"
> except ValueError:
> pass
>
>
> pyplot.show()
>
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attendees to learn about information security's most important issues through
interactions with peers, luminaries and emerging and established companies.
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