Whoops, yes, that should be True... Also realized a slight error in
the description of how the mimum is set - both of those are fixed in
the attached diff.
On Tue, Aug 24, 2010 at 1:53 PM, Eric Firing <efir...@hawaii.edu> wrote:
> On 08/24/2010 08:39 AM, Erik Tollerud wrote:
>> I just realized the patch I sent before includes some other changes...
>> the attached version should only be the fix for this particular bug.
>
> + if log is true:
> + minimum = 1.0
>
>
> Don't you mean True, not true?
>
> Eric
>
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--
Erik Tollerud
Index: axes.py
===================================================================
--- axes.py (revision 8655)
+++ axes.py (working copy)
@@ -7492,11 +7492,14 @@
- 'barstacked' is a bar-type histogram where multiple
data are stacked on top of each other.
- - 'step' generates a lineplot that is by default
- unfilled.
+ - 'step' is a histogram outlined by a lineplot with unfilled
+ patches. Toutlines only follow the top of the histogram, and
+ hence *rwidth* has no effect.
- - 'stepfilled' generates a lineplot that is by default
- filled.
+ - 'stepfilled' is a histogram bounded by a lineplot with filled
+ patches underneath. This is distinct from 'bar' in that the
+ outlines only follow the top of the histogram, and hence
+ *rwidth* has no effect.
*align*: ['left' | 'mid' | 'right' ]
Controls how the histogram is plotted.
@@ -7521,7 +7524,10 @@
If *True*, the histogram axis will be set to a log scale.
If *log* is *True* and *x* is a 1D array, empty bins will
be filtered out and only the non-empty (*n*, *bins*,
- *patches*) will be returned.
+ *patches*) will be returned. If *histtype* is 'step' or
+ 'stepfilled', this can also be a float>0 specifying the
+ minimum value for the bins (typically used to set the value
+ for empty bins).
*color*:
Color spec or sequence of color specs, one per
@@ -7720,9 +7726,14 @@
y = np.zeros( 2*len(bins), np.float )
x[0::2], x[1::2] = bins, bins
+
+ if log is True:
+ minimum = 1.0
+ elif log:
+ minimum = float(log)
+ else:
+ minimum = 0.0
- minimum = min(bins)
-
if align == 'left' or align == 'center':
x -= 0.5*(bins[1]-bins[0])
elif align == 'right':
------------------------------------------------------------------------------
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