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From: <lee...@us...> - 2009-05-17 21:36:42
|
Revision: 7114
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7114&view=rev
Author: leejjoon
Date: 2009-05-17 21:36:34 +0000 (Sun, 17 May 2009)
Log Message:
-----------
a warning won't be issued for semilog axes if aspect="auto"
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2009-05-17 18:00:10 UTC (rev 7113)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2009-05-17 21:36:34 UTC (rev 7114)
@@ -1137,10 +1137,11 @@
aspect_scale_mode = "log"
elif (xscale == "linear" and yscale == "log") or \
(xscale == "log" and yscale == "linear"):
- warnings.warn(
- 'aspect is not supported for Axes with xscale=%s, yscale=%s' \
- % (xscale, yscale))
- aspect = "auto"
+ if aspect is not "auto":
+ warnings.warn(
+ 'aspect is not supported for Axes with xscale=%s, yscale=%s' \
+ % (xscale, yscale))
+ aspect = "auto"
else: # some custom projections have their own scales.
pass
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From: <ef...@us...> - 2009-05-22 17:36:40
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Revision: 7134
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7134&view=rev
Author: efiring
Date: 2009-05-22 17:36:28 +0000 (Fri, 22 May 2009)
Log Message:
-----------
Make polar_bar work with new Path._interpolation_steps attribute
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2009-05-22 14:24:55 UTC (rev 7133)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2009-05-22 17:36:28 UTC (rev 7134)
@@ -4309,6 +4309,7 @@
)
label = '_nolegend_'
r.update(kwargs)
+ r.get_path()._interpolation_steps = 100
#print r.get_label(), label, 'label' in kwargs
self.add_patch(r)
patches.append(r)
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From: <jd...@us...> - 2009-06-07 14:13:18
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Revision: 7194
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7194&view=rev
Author: jdh2358
Date: 2009-06-07 14:13:12 +0000 (Sun, 07 Jun 2009)
Log Message:
-----------
update doc strings to point to new fill between demos
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2009-06-07 13:58:48 UTC (rev 7193)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2009-06-07 14:13:12 UTC (rev 7194)
@@ -6019,7 +6019,7 @@
%(PolyCollection)s
- .. plot:: mpl_examples/pylab_examples/fill_between.py
+ .. plot:: mpl_examples/pylab_examples/fill_between_demo.py.py
.. seealso::
@@ -6126,7 +6126,7 @@
%(PolyCollection)s
- .. plot:: mpl_examples/pylab_examples/fill_betweenx.py
+ .. plot:: mpl_examples/pylab_examples/fill_betweenx_demo.py
.. seealso::
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From: <jd...@us...> - 2009-06-14 17:24:47
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Revision: 7219
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7219&view=rev
Author: jdh2358
Date: 2009-06-14 17:24:45 +0000 (Sun, 14 Jun 2009)
Log Message:
-----------
added variant of sf patch 2805653 for specgram kwargs pass thru to imshow
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2009-06-14 05:38:11 UTC (rev 7218)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2009-06-14 17:24:45 UTC (rev 7219)
@@ -7530,14 +7530,14 @@
def specgram(self, x, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
window=mlab.window_hanning, noverlap=128,
cmap=None, xextent=None, pad_to=None, sides='default',
- scale_by_freq=None):
+ scale_by_freq=None, **kwargs):
"""
call signature::
specgram(x, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
window=mlab.window_hanning, noverlap=128,
cmap=None, xextent=None, pad_to=None, sides='default',
- scale_by_freq=None)
+ scale_by_freq=None, **kwargs)
Compute a spectrogram of data in *x*. Data are split into
*NFFT* length segments and the PSD of each section is
@@ -7562,8 +7562,13 @@
The default is (0,max(bins)), where bins is the return
value from :func:`mlab.specgram`
- Return value is (*Pxx*, *freqs*, *bins*, *im*):
+ *kwargs*:
+ Additional kwargs are passed on to imshow which makes the
+ specgram image
+
+ Return value is (*Pxx*, *freqs*, *bins*, *im*):
+
- *bins* are the time points the spectrogram is calculated over
- *freqs* is an array of frequencies
- *Pxx* is a len(times) x len(freqs) array of power
@@ -7590,7 +7595,7 @@
xmin, xmax = xextent
freqs += Fc
extent = xmin, xmax, freqs[0], freqs[-1]
- im = self.imshow(Z, cmap, extent=extent)
+ im = self.imshow(Z, cmap, extent=extent, **kwargs)
self.axis('auto')
return Pxx, freqs, bins, im
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From: <jd...@us...> - 2009-06-14 17:34:41
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Revision: 7220
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7220&view=rev
Author: jdh2358
Date: 2009-06-14 17:34:40 +0000 (Sun, 14 Jun 2009)
Log Message:
-----------
fixed errorbar Nx2 docstring bug as described in sf bug 2804502
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2009-06-14 17:24:45 UTC (rev 7219)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2009-06-14 17:34:40 UTC (rev 7220)
@@ -4725,12 +4725,12 @@
Optional keyword arguments:
- *xerr*/*yerr*: [ scalar | N, Nx1, Nx2 array-like ]
+ *xerr*/*yerr*: [ scalar | N, Nx1, or 2xN array-like ]
If a scalar number, len(N) array-like object, or an Nx1 array-like
object, errorbars are drawn +/- value.
- If a rank-1, Nx2 Numpy array, errorbars are drawn at -column1 and
- +column2
+ If a rank-1, 2xN numpy array, errorbars are drawn at -row1 and
+ +row2
*fmt*: '-'
The plot format symbol for *y*. If *fmt* is *None*, just plot the
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From: <jr...@us...> - 2009-09-24 20:47:18
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Revision: 7824
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7824&view=rev
Author: jrevans
Date: 2009-09-24 20:47:11 +0000 (Thu, 24 Sep 2009)
Log Message:
-----------
Fixed a comparison in update_patch_limits that compared data with being equall to zero. This will fail with unitized data.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2009-09-24 17:05:51 UTC (rev 7823)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2009-09-24 20:47:11 UTC (rev 7824)
@@ -1444,8 +1444,9 @@
# scaling. We'll ignore rects with zero height or width in
# the auto-scaling
+ # cannot check for '==0' since unitized data may not compare to zero
if (isinstance(patch, mpatches.Rectangle) and
- (patch.get_width()==0 or patch.get_height()==0)):
+ ((not patch.get_width()) or (notpatch.get_height()))):
return
vertices = patch.get_path().vertices
if vertices.size > 0:
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From: <jr...@us...> - 2009-09-24 21:16:14
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Revision: 7825
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7825&view=rev
Author: jrevans
Date: 2009-09-24 21:16:07 +0000 (Thu, 24 Sep 2009)
Log Message:
-----------
Fixed a typo.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2009-09-24 20:47:11 UTC (rev 7824)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2009-09-24 21:16:07 UTC (rev 7825)
@@ -1446,7 +1446,7 @@
# cannot check for '==0' since unitized data may not compare to zero
if (isinstance(patch, mpatches.Rectangle) and
- ((not patch.get_width()) or (notpatch.get_height()))):
+ ((not patch.get_width()) or (not patch.get_height()))):
return
vertices = patch.get_path().vertices
if vertices.size > 0:
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From: <lee...@us...> - 2009-11-11 23:59:39
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Revision: 7951
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7951&view=rev
Author: leejjoon
Date: 2009-11-11 23:59:23 +0000 (Wed, 11 Nov 2009)
Log Message:
-----------
drawing images respect zorder among images even for noncomposite backend
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2009-11-10 21:03:51 UTC (rev 7950)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2009-11-11 23:59:23 UTC (rev 7951)
@@ -1727,9 +1727,12 @@
# make a composite image blending alpha
# list of (mimage.Image, ox, oy)
+ zorder_images = [(im.zorder, im) for im in self.images \
+ if im.get_visible()]
+ zorder_images.sort()
+
mag = renderer.get_image_magnification()
- ims = [(im.make_image(mag),0,0)
- for im in self.images if im.get_visible()]
+ ims = [(im.make_image(mag),0,0) for z,im in zorder_images]
l, b, r, t = self.bbox.extents
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From: <as...@us...> - 2009-11-12 22:48:11
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Revision: 7958
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7958&view=rev
Author: astraw
Date: 2009-11-12 22:47:43 +0000 (Thu, 12 Nov 2009)
Log Message:
-----------
axes.py: remove redundant variable
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2009-11-12 22:17:24 UTC (rev 7957)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2009-11-12 22:47:43 UTC (rev 7958)
@@ -1698,7 +1698,7 @@
artists.extend(self.spines.itervalues())
- dsu = [ (a.zorder, i, a) for i, a in enumerate(artists)
+ dsu = [ (a.zorder, a) for a in artists
if not a.get_animated() ]
dsu.sort()
@@ -1721,7 +1721,7 @@
if len(self.images)<=1 or renderer.option_image_nocomposite():
for im in self.images:
- dsu.append( (im.zorder, len(dsu), im) )
+ dsu.append( (im.zorder, im) )
dsu.sort() # re-sort with images now
else:
# make a composite image blending alpha
@@ -1757,11 +1757,11 @@
gc.restore()
if dsu_rasterized:
- for zorder, i, a in dsu_rasterized:
+ for zorder, a in dsu_rasterized:
a.draw(renderer)
renderer.stop_rasterizing()
- for zorder, i, a in dsu:
+ for zorder, a in dsu:
a.draw(renderer)
renderer.close_group('axes')
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From: <lee...@us...> - 2009-12-11 16:57:53
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Revision: 8022
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8022&view=rev
Author: leejjoon
Date: 2009-12-11 16:57:46 +0000 (Fri, 11 Dec 2009)
Log Message:
-----------
Axes.draw rearranged to support rasterization
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2009-12-11 00:59:34 UTC (rev 8021)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2009-12-11 16:57:46 UTC (rev 8022)
@@ -30,6 +30,8 @@
import matplotlib.ticker as mticker
import matplotlib.transforms as mtransforms
+from operator import itemgetter
+
iterable = cbook.iterable
is_string_like = cbook.is_string_like
is_sequence_of_strings = cbook.is_sequence_of_strings
@@ -1698,11 +1700,22 @@
artists.extend(self.spines.itervalues())
+
dsu = [ (a.zorder, a) for a in artists
if not a.get_animated() ]
- dsu.sort(key=lambda x: x[0])
+ # add images to dsu if the backend support compositing.
+ # otherwise, does the manaul compositing without adding images to dsu.
+ if len(self.images)<=1 or renderer.option_image_nocomposite():
+ dsu.extend([(im.zorder, im) for im in self.images])
+ _do_composite = False
+ else:
+ _do_composite = True
+
+
+ dsu.sort(key=itemgetter(0))
+
# rasterize artists with negative zorder
# if the minimum zorder is negative, start rasterization
rasterization_zorder = self._rasterization_zorder
@@ -1719,11 +1732,7 @@
if self.axison and self._frameon:
self.patch.draw(renderer)
- if len(self.images)<=1 or renderer.option_image_nocomposite():
- for im in self.images:
- dsu.append( (im.zorder, im) )
- dsu.sort(key=lambda x: x[0]) # re-sort with images now
- else:
+ if _do_composite:
# make a composite image blending alpha
# list of (mimage.Image, ox, oy)
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From: <ef...@us...> - 2010-01-04 04:30:34
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Revision: 8067
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8067&view=rev
Author: efiring
Date: 2010-01-04 04:30:24 +0000 (Mon, 04 Jan 2010)
Log Message:
-----------
Remove unnecessary private method.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-01-04 02:22:26 UTC (rev 8066)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-01-04 04:30:24 UTC (rev 8067)
@@ -150,11 +150,8 @@
def set_color_cycle(self, clist=None):
if clist is None:
clist = rcParams['axes.color_cycle']
- self._colors = itertools.cycle(clist)
+ self.color_cycle = itertools.cycle(clist)
- def _get_next_cycle_color(self):
- return self._colors.next()
-
def __call__(self, *args, **kwargs):
if self.axes.xaxis is not None and self.axes.yaxis is not None:
@@ -225,7 +222,7 @@
def _makeline(self, x, y, kw, kwargs):
kw = kw.copy() # Don't modify the original kw.
if not 'color' in kw:
- kw['color'] = self._get_next_cycle_color()
+ kw['color'] = self.color_cycle.next()
# (can't use setdefault because it always evaluates
# its second argument)
seg = mlines.Line2D(x, y,
@@ -239,7 +236,7 @@
try:
facecolor = kw['color']
except KeyError:
- facecolor = self._get_next_cycle_color()
+ facecolor = self.color_cycle.next()
seg = mpatches.Polygon(np.hstack(
(x[:,np.newaxis],y[:,np.newaxis])),
facecolor = facecolor,
@@ -4866,7 +4863,7 @@
if ecolor is None:
if l0 is None:
- ecolor = self._get_lines._get_next_cycle_color()
+ ecolor = self._get_lines.color_cycle.next()
else:
ecolor = l0.get_color()
@@ -7163,7 +7160,7 @@
if orientation == 'horizontal':
for m in n:
- color = self._get_lines._get_next_cycle_color()
+ color = self._get_lines.color_cycle.next()
patch = self.barh(bins[:-1]+boffset, m, height=width,
left=bottom, align='center', log=log,
color=color)
@@ -7174,7 +7171,7 @@
boffset += dw
elif orientation == 'vertical':
for m in n:
- color = self._get_lines._get_next_cycle_color()
+ color = self._get_lines.color_cycle.next()
patch = self.bar(bins[:-1]+boffset, m, width=width,
bottom=bottom, align='center', log=log,
color=color)
@@ -7219,7 +7216,7 @@
elif orientation != 'vertical':
raise ValueError, 'invalid orientation: %s' % orientation
- color = self._get_lines._get_next_cycle_color()
+ color = self._get_lines.color_cycle.next()
if fill:
patches.append( self.fill(x, y,
closed=False, facecolor=color) )
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From: <ef...@us...> - 2010-04-02 21:29:45
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Revision: 8218
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8218&view=rev
Author: efiring
Date: 2010-04-02 21:29:38 +0000 (Fri, 02 Apr 2010)
Log Message:
-----------
Axes.hist: style changes, bug fixes
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-04-02 18:47:00 UTC (rev 8217)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-04-02 21:29:38 UTC (rev 8218)
@@ -5311,7 +5311,7 @@
s = np.ma.ravel(s) # This doesn't have to match x, y in size.
- c_is_stringy = is_string_like(c) or cbook.is_sequence_of_strings(c)
+ c_is_stringy = is_string_like(c) or is_sequence_of_strings(c)
if not c_is_stringy:
c = np.asanyarray(c)
if c.size == x.size:
@@ -6989,6 +6989,7 @@
def hist(self, x, bins=10, range=None, normed=False, weights=None,
cumulative=False, bottom=None, histtype='bar', align='mid',
orientation='vertical', rwidth=None, log=False,
+ color=None,
**kwargs):
"""
call signature::
@@ -7002,16 +7003,21 @@
[*patches0*, *patches1*,...]) if the input contains multiple
data.
+ Multiple data can be provided via *x* as a list of datasets
+ of potentially different length ([*x0*, *x1*, ...]), or as
+ a 2-D ndarray in which each column is a dataset. Note that
+ the ndarray form is transposed relative to the list form.
+
+ Masked arrays are not supported at present.
+
Keyword arguments:
*bins*:
Either an integer number of bins or a sequence giving the
- bins. *x* are the data to be binned. *x* can be an array,
- a 2D array with multiple data in its columns, or a list of
- arrays with data of different length. Note, if *bins*
- is an integer input argument=numbins, *bins* + 1 bin edges
- will be returned, compatible with the semantics of
- :func:`numpy.histogram` with the *new* = True argument.
+ bins. If *bins* is an integer, *bins* + 1 bin edges
+ will be returned, consistent with :func:`numpy.histogram`
+ for numpy version >= 1.3, and with the *new* = True argument
+ in earlier versions.
Unequally spaced bins are supported if *bins* is a sequence.
*range*:
@@ -7090,6 +7096,9 @@
be filtered out and only the non-empty (*n*, *bins*,
*patches*) will be returned.
+ *color*:
+
+
kwargs are used to update the properties of the hist
:class:`~matplotlib.patches.Rectangle` instances:
@@ -7117,65 +7126,74 @@
# NOTE: the range keyword overwrites the built-in func range !!!
# needs to be fixed in numpy !!!
+ # Validate string inputs here so we don't have to clutter
+ # subsequent code.
+ if histtype not in ['bar', 'barstacked', 'step', 'stepfilled']:
+ raise ValueError("histtype %s is not recognized" % histtype)
+
+ if align not in ['left', 'mid', 'right']:
+ raise ValueError("align kwarg %s is not recognized" % align)
+
+ if orientation not in [ 'horizontal', 'vertical']:
+ raise ValueError(
+ "orientation kwarg %s is not recognized" % orientation)
+
+
if kwargs.get('width') is not None:
raise DeprecationWarning(
'hist now uses the rwidth to give relative width '
'and not absolute width')
- try:
- # make sure a copy is created: don't use asarray
- x = np.transpose(np.array(x))
- if len(x.shape)==1:
- x.shape = (1,x.shape[0])
- elif len(x.shape)==2 and x.shape[1]<x.shape[0]:
- warnings.warn('2D hist should be nsamples x nvariables; '
+ if isinstance(x, np.ndarray):
+ # TODO: support masked arrays;
+ # Why is the copy needed?
+ x = np.array(x, copy=True, subok=False)
+ if x.ndim == 2:
+ x = x.T
+ elif x.ndim == 1:
+ x.shape = (1, x.shape[0])
+ else:
+ raise ValueError("x must be 1D or 2D")
+ if x.shape[1] < x.shape[0]:
+ warnings.warn('2D hist input should be nsamples x nvariables; '
'this looks transposed')
- except ValueError:
+ else:
# multiple hist with data of different length
- if iterable(x[0]) and not is_string_like(x[0]):
- tx = []
- for i in xrange(len(x)):
- tx.append( np.array(x[i]) )
- x = tx
- else:
- raise ValueError, 'Can not use provided data to create a histogram'
+ x = [np.array(xi) for xi in x]
+ nx = len(x) # number of datasets
+
if weights is not None:
- try:
- w = np.transpose(np.array(weights))
- if len(w.shape)==1:
+ if isinstance(w, np.ndarray):
+ w = np.array(weights)
+ if w.ndim == 2:
+ w = w.T
+ elif w.ndim == 1:
w.shape = (1, w.shape[0])
- except:
- if iterable(weights[0]) and not is_string_like(weights[0]):
- tw = []
- for i in xrange(len(weights)):
- tw.append( np.array(weights[i]) )
- w = tw
else:
- raise ValueError, 'Can not use provided weights to create a hist'
+ raise ValueError("weights must be 1D or 2D")
+ else:
+ w = [np.array(wi) for wi in weights]
- if len(x) != len(w):
- raise ValueError, 'weights should have the same shape as x'
- for i in xrange(len(x)):
- if len(x[i]) != len(w[i]):
- raise ValueError, 'weights should have the same shape as x'
+ if len(w) != nx:
+ raise ValueError('weights should have the same shape as x')
+ for i in xrange(nx):
+ if len(w[i]) != len(x[i]):
+ raise ValueError(
+ 'weights should have the same shape as x')
else:
- w = [None]*len(x)
+ w = [None]*nx
# Check whether bins or range are given explicitly. In that
# case do not autoscale axes.
binsgiven = (cbook.iterable(bins) or range != None)
- # check the version of the numpy
+ hist_kwargs = dict(range=range, normed=bool(normed))
if np.__version__ < "1.3": # version 1.1 and 1.2
- hist_kwargs = dict(range=range,
- normed=bool(normed), new=True)
- else: # version 1.3 and later, drop new=True
- hist_kwargs = dict(range=range,
- normed=bool(normed))
+ hist_kwargs['new'] = True
n = []
- for i in xrange(len(x)):
+ for i in xrange(nx):
# this will automatically overwrite bins,
# so that each histogram uses the same bins
m, bins = np.histogram(x[i], bins, weights=w[i], **hist_kwargs)
@@ -7195,60 +7213,50 @@
if histtype.startswith('bar'):
totwidth = np.diff(bins)
- stacked = False
- if rwidth is not None: dr = min(1., max(0., rwidth))
- elif len(n)>1: dr = 0.8
- else: dr = 1.0
+ if rwidth is not None:
+ dr = min(1.0, max(0.0, rwidth))
+ elif len(n)>1:
+ dr = 0.8
+ else:
+ dr = 1.0
if histtype=='bar':
- width = dr*totwidth/len(n)
+ width = dr*totwidth/nx
dw = width
- if len(n)>1:
- boffset = -0.5*dr*totwidth*(1.-1./len(n))
+ if nx > 1:
+ boffset = -0.5*dr*totwidth*(1.0-1.0/nx)
else:
boffset = 0.0
+ stacked = False
elif histtype=='barstacked':
width = dr*totwidth
boffset, dw = 0.0, 0.0
-
stacked = True
- else:
- raise ValueError, 'invalid histtype: %s' % histtype
if align == 'mid' or align == 'edge':
boffset += 0.5*totwidth
elif align == 'right':
boffset += totwidth
- elif align != 'left' and align != 'center':
- raise ValueError, 'invalid align: %s' % align
if orientation == 'horizontal':
- for m in n:
- color = self._get_lines.color_cycle.next()
- patch = self.barh(bins[:-1]+boffset, m, height=width,
- left=bottom, align='center', log=log,
- color=color)
- patches.append(patch)
- if stacked:
- if bottom is None: bottom = 0.0
- bottom += m
- boffset += dw
- elif orientation == 'vertical':
- for m in n:
- color = self._get_lines.color_cycle.next()
- patch = self.bar(bins[:-1]+boffset, m, width=width,
- bottom=bottom, align='center', log=log,
- color=color)
- patches.append(patch)
- if stacked:
- if bottom is None: bottom = 0.0
- bottom += m
- boffset += dw
- else:
- raise ValueError, 'invalid orientation: %s' % orientation
+ _barfunc = self.barh
+ else: # orientation == 'vertical'
+ _barfunc = self.bar
+ for m in n:
+ color = self._get_lines.color_cycle.next()
+ patch = _barfunc(bins[:-1]+boffset, m, width, bottom,
+ align='center', log=log,
+ color=color)
+ patches.append(patch)
+ if stacked:
+ if bottom is None:
+ bottom = 0.0
+ bottom += m
+ boffset += dw
+
elif histtype.startswith('step'):
x = np.zeros( 2*len(bins), np.float )
y = np.zeros( 2*len(bins), np.float )
@@ -7259,21 +7267,15 @@
x -= 0.5*(bins[1]-bins[0])
elif align == 'right':
x += 0.5*(bins[1]-bins[0])
- elif align != 'mid' and align != 'edge':
- raise ValueError, 'invalid align: %s' % align
if log:
y[0],y[-1] = 1e-100, 1e-100
if orientation == 'horizontal':
self.set_xscale('log')
- elif orientation == 'vertical':
+ else: # orientation == 'vertical'
self.set_yscale('log')
- fill = False
- if histtype == 'stepfilled':
- fill = True
- elif histtype != 'step':
- raise ValueError, 'invalid histtype: %s' % histtype
+ fill = (histtype == 'stepfilled')
for m in n:
y[1:-1:2], y[2::2] = m, m
@@ -7281,8 +7283,6 @@
y[y<1e-100]=1e-100
if orientation == 'horizontal':
x,y = y,x
- elif orientation != 'vertical':
- raise ValueError, 'invalid orientation: %s' % orientation
color = self._get_lines.color_cycle.next()
if fill:
@@ -7307,17 +7307,17 @@
self.dataLim.intervaly = (ymin, ymax)
self.autoscale_view()
- else:
- raise ValueError, 'invalid histtype: %s' % histtype
+ label = kwargs.pop('label', '_nolegend_')
- label = kwargs.pop('label', '')
-
if is_string_like(label):
- labels = [label] + ['_nolegend_']*(len(patches)-1)
- elif is_sequence_of_strings:
- labels = list(label) + ['_nolegend_']*(len(patches)-1)
+ labels = [label]
+ elif is_sequence_of_strings(label):
+ labels = list(label)
else:
- raise ValueError, 'invalid label: must be string or sequence of strings'
+ raise ValueError(
+ 'invalid label: must be string or sequence of strings')
+ if len(labels) < nx:
+ labels += ['_nolegend_'] * (nx - len(labels))
for (patch, lbl) in zip(patches, labels):
for p in patch:
@@ -7329,14 +7329,16 @@
self.set_autoscale_on(False)
if orientation == 'vertical':
self.autoscale_view(scalex=False, scaley=True)
- XL = self.xaxis.get_major_locator().view_limits(bins[0], bins[-1])
+ XL = self.xaxis.get_major_locator().view_limits(
+ bins[0], bins[-1])
self.set_xbound(XL)
else:
self.autoscale_view(scalex=True, scaley=False)
- YL = self.yaxis.get_major_locator().view_limits(bins[0], bins[-1])
+ YL = self.yaxis.get_major_locator().view_limits(
+ bins[0], bins[-1])
self.set_ybound(YL)
- if len(n)==1:
+ if nx == 1:
return n[0], bins, cbook.silent_list('Patch', patches[0])
else:
return n, bins, cbook.silent_list('Lists of Patches', patches)
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|
|
From: <ef...@us...> - 2010-04-03 07:18:24
|
Revision: 8219
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8219&view=rev
Author: efiring
Date: 2010-04-03 07:18:18 +0000 (Sat, 03 Apr 2010)
Log Message:
-----------
Axes.hist: add color kwarg.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-04-02 21:29:38 UTC (rev 8218)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-04-03 07:18:18 UTC (rev 8219)
@@ -7097,8 +7097,10 @@
*patches*) will be returned.
*color*:
+ Color spec or sequence of color specs, one per
+ dataset. Default (*None*) uses the standard line
+ color sequence.
-
kwargs are used to update the properties of the hist
:class:`~matplotlib.patches.Rectangle` instances:
@@ -7163,6 +7165,14 @@
nx = len(x) # number of datasets
+ if color is None:
+ color = [self._get_lines.color_cycle.next()
+ for i in xrange(nx)]
+ else:
+ color = mcolors.colorConverter.to_rgba_array(color)
+ if len(color) != nx:
+ raise ValueError("color kwarg must have one color per dataset")
+
if weights is not None:
if isinstance(w, np.ndarray):
w = np.array(weights)
@@ -7245,11 +7255,10 @@
else: # orientation == 'vertical'
_barfunc = self.bar
- for m in n:
- color = self._get_lines.color_cycle.next()
+ for m, c in zip(n, color):
patch = _barfunc(bins[:-1]+boffset, m, width, bottom,
align='center', log=log,
- color=color)
+ color=c)
patches.append(patch)
if stacked:
if bottom is None:
@@ -7277,20 +7286,19 @@
fill = (histtype == 'stepfilled')
- for m in n:
+ for m, c in zip(n, color):
y[1:-1:2], y[2::2] = m, m
if log:
y[y<1e-100]=1e-100
if orientation == 'horizontal':
x,y = y,x
- color = self._get_lines.color_cycle.next()
if fill:
patches.append( self.fill(x, y,
- closed=False, facecolor=color) )
+ closed=False, facecolor=c) )
else:
patches.append( self.fill(x, y,
- closed=False, edgecolor=color, fill=False) )
+ closed=False, edgecolor=c, fill=False) )
# adopted from adjust_x/ylim part of the bar method
if orientation == 'horizontal':
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|
|
From: <ef...@us...> - 2010-04-05 01:07:09
|
Revision: 8221
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8221&view=rev
Author: efiring
Date: 2010-04-05 01:06:57 +0000 (Mon, 05 Apr 2010)
Log Message:
-----------
Axes.hist: make 'label' an explicit kwarg, like 'color'
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-04-03 23:22:48 UTC (rev 8220)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-04-05 01:06:57 UTC (rev 8221)
@@ -6989,7 +6989,7 @@
def hist(self, x, bins=10, range=None, normed=False, weights=None,
cumulative=False, bottom=None, histtype='bar', align='mid',
orientation='vertical', rwidth=None, log=False,
- color=None,
+ color=None, label=None,
**kwargs):
"""
call signature::
@@ -7101,24 +7101,21 @@
dataset. Default (*None*) uses the standard line
color sequence.
- kwargs are used to update the properties of the hist
- :class:`~matplotlib.patches.Rectangle` instances:
+ *label*:
+ String, or sequence of strings to match multiple
+ datasets. Bar charts yield multiple patches per
+ dataset, but only the first gets the label, so
+ that the legend command will work as expected::
- %(Rectangle)s
+ ax.hist(10+2*np.random.randn(1000), label='men')
+ ax.hist(12+3*np.random.randn(1000), label='women', alpha=0.5)
+ ax.legend()
- You can use labels for your histogram, and only the first
- :class:`~matplotlib.patches.Rectangle` gets the label (the
- others get the magic string '_nolegend_'. This will make the
- histograms work in the intuitive way for bar charts::
+ kwargs are used to update the properties of the
+ :class:`~matplotlib.patches.Patch` instances returned by *hist*:
- ax.hist(10+2*np.random.randn(1000), label='men')
- ax.hist(12+3*np.random.randn(1000), label='women', alpha=0.5)
- ax.legend()
+ %(Patch)s
- label can also be a sequence of strings. If multiple data is
- provided in *x*, the labels are asigned sequentially to the
- histograms.
-
**Example:**
.. plot:: mpl_examples/pylab_examples/histogram_demo.py
@@ -7315,9 +7312,9 @@
self.dataLim.intervaly = (ymin, ymax)
self.autoscale_view()
- label = kwargs.pop('label', '_nolegend_')
-
- if is_string_like(label):
+ if label is None:
+ labels = ['_nolegend_']
+ elif is_string_like(label):
labels = [label]
elif is_sequence_of_strings(label):
labels = list(label)
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|
|
From: <ef...@us...> - 2010-04-22 03:23:01
|
Revision: 8264
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8264&view=rev
Author: efiring
Date: 2010-04-22 03:22:55 +0000 (Thu, 22 Apr 2010)
Log Message:
-----------
Axes: save "tight" state; margin() default is now tight=True
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-04-21 21:49:53 UTC (rev 8263)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-04-22 03:22:55 UTC (rev 8264)
@@ -838,6 +838,7 @@
self._autoscaleYon = True
self._xmargin = 0
self._ymargin = 0
+ self._tight = True
self._update_transScale() # needed?
self._get_lines = _process_plot_var_args(self)
@@ -1231,7 +1232,7 @@
elif s in ('equal', 'tight', 'scaled', 'normal', 'auto', 'image'):
self.set_autoscale_on(True)
self.set_aspect('auto')
- self.autoscale_view()
+ self.autoscale_view(tight=False)
# self.apply_aspect()
if s=='equal':
self.set_aspect('equal', adjustable='datalim')
@@ -1646,17 +1647,22 @@
::
- margins(margin, tight=True)
+ margins(margin)
- margins(xmargin, ymargin, tight=True)
+ margins(xmargin, ymargin)
- margins(x=xmargin, y=ymargin, tight=True)
+ margins(x=xmargin, y=ymargin)
+ margins(..., tight=False)
+
All three forms above set the xmargin and ymargin parameters.
All keyword parameters are optional. A single argument
specifies both xmargin and ymargin. The *tight* parameter
is passed to :meth:`autoscale_view`, which is executed after
- a margin is changed.
+ a margin is changed; the default here is *True*, on the
+ assumption that when margins are specified, no additional
+ padding to match tick marks is usually desired. Setting
+ *tight* to *None* will preserve the previous setting.
Specifying any margin changes only the autoscaling; for example,
if *xmargin* is not zero, then *xmargin* times the X data
@@ -1667,7 +1673,7 @@
if not args and not kw:
return self._ymargin, self._ymargin
- tight = kw.pop('tight', False)
+ tight = kw.pop('tight', True)
mx = kw.pop('x', None)
my = kw.pop('y', None)
if len(args) == 1:
@@ -1697,7 +1703,7 @@
return self._rasterization_zorder
- def autoscale_view(self, tight=False, scalex=True, scaley=True):
+ def autoscale_view(self, tight=None, scalex=True, scaley=True):
"""
autoscale the view limits using the data limits. You can
selectively autoscale only a single axis, eg, the xaxis by
@@ -1725,7 +1731,9 @@
y0 -= delta
y1 += delta
- if (tight or (len(self.images)>0 and
+ if tight is not None:
+ self._tight = bool(tight)
+ if (self._tight or (len(self.images)>0 and
len(self.lines)==0 and
len(self.patches)==0)):
if scalex and self._autoscaleXon:
@@ -2027,7 +2035,7 @@
raise AttributeError(
"This method only works with the ScalarFormatter.")
- def locator_params(self, axis='both', tight=False, **kwargs):
+ def locator_params(self, axis='both', tight=None, **kwargs):
"""
Convenience method for controlling tick locators.
@@ -2038,7 +2046,8 @@
default is 'both'.
*tight*
- [True | False] Parameter passed to :meth:`autoscale_view`.
+ [True | False | None] Parameter passed to :meth:`autoscale_view`.
+ Default is None, for no change.
Remaining keyword arguments are passed to directly to the
:meth:`~matplotlib.ticker.MaxNLocator.set_params` method.
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|
|
From: <ef...@us...> - 2010-04-22 07:49:20
|
Revision: 8266
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8266&view=rev
Author: efiring
Date: 2010-04-22 07:49:13 +0000 (Thu, 22 Apr 2010)
Log Message:
-----------
Axes.autoscale_view: ensure finite ranges; rearrange code for readability
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-04-22 03:34:10 UTC (rev 8265)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-04-22 07:49:13 UTC (rev 8266)
@@ -1710,45 +1710,41 @@
setting *scaley* to *False*. The autoscaling preserves any
axis direction reversal that has already been done.
"""
+ if tight is not None:
+ self._tight = bool(tight)
# if image data only just use the datalim
+ _tight = self._tight or (len(self.images)>0 and
+ len(self.lines)==0 and
+ len(self.patches)==0)
+
if scalex and self._autoscaleXon:
xshared = self._shared_x_axes.get_siblings(self)
dl = [ax.dataLim for ax in xshared]
bb = mtransforms.BboxBase.union(dl)
x0, x1 = bb.intervalx
+ x0, x1 = mtransforms.nonsingular(x0, x1, increasing=False)
if self._xmargin > 0:
delta = (x1 - x0) * self._xmargin
x0 -= delta
x1 += delta
+ if not _tight:
+ x0, x1 = self.xaxis.get_major_locator().view_limits(x0, x1)
+ self.set_xbound(x0, x1)
if scaley and self._autoscaleYon:
yshared = self._shared_y_axes.get_siblings(self)
dl = [ax.dataLim for ax in yshared]
bb = mtransforms.BboxBase.union(dl)
y0, y1 = bb.intervaly
+ y0, y1 = mtransforms.nonsingular(y0, y1, increasing=False)
if self._ymargin > 0:
delta = (y1 - y0) * self._ymargin
y0 -= delta
y1 += delta
+ if not _tight:
+ y0, y1 = self.yaxis.get_major_locator().view_limits(y0, y1)
+ self.set_ybound(y0, y1)
- if tight is not None:
- self._tight = bool(tight)
- if (self._tight or (len(self.images)>0 and
- len(self.lines)==0 and
- len(self.patches)==0)):
- if scalex and self._autoscaleXon:
- self.set_xbound(x0, x1)
- if scaley and self._autoscaleYon:
- self.set_ybound(y0, y1)
- return
-
- if scalex and self._autoscaleXon:
- XL = self.xaxis.get_major_locator().view_limits(x0, x1)
- self.set_xbound(XL)
- if scaley and self._autoscaleYon:
- YL = self.yaxis.get_major_locator().view_limits(y0, y1)
- self.set_ybound(YL)
-
#### Drawing
@allow_rasterization
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|
|
From: <ef...@us...> - 2010-04-22 08:27:26
|
Revision: 8267
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8267&view=rev
Author: efiring
Date: 2010-04-22 08:27:18 +0000 (Thu, 22 Apr 2010)
Log Message:
-----------
Axes.hist: remove unnecessary copying of input array.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-04-22 07:49:13 UTC (rev 8266)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-04-22 08:27:18 UTC (rev 8267)
@@ -7289,17 +7289,16 @@
if isinstance(x, np.ndarray):
# TODO: support masked arrays;
- # Why is the copy needed?
- x = np.array(x, copy=True, subok=False)
+ x = np.asarray(x)
if x.ndim == 2:
- x = x.T
+ x = x.T # 2-D input with columns as datasets; switch to rows
elif x.ndim == 1:
- x.shape = (1, x.shape[0])
+ x = x.reshape(1, x.shape[0]) # new view, single row
else:
raise ValueError("x must be 1D or 2D")
if x.shape[1] < x.shape[0]:
- warnings.warn('2D hist input should be nsamples x nvariables; '
- 'this looks transposed')
+ warnings.warn('2D hist input should be nsamples x nvariables;\n '
+ 'this looks transposed (shape is %d x %d)' % x.shape[::-1])
else:
# multiple hist with data of different length
x = [np.array(xi) for xi in x]
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|
|
From: <md...@us...> - 2010-04-23 18:33:57
|
Revision: 8268
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8268&view=rev
Author: mdboom
Date: 2010-04-23 18:33:51 +0000 (Fri, 23 Apr 2010)
Log Message:
-----------
Fix docstring formatting in imshow.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-04-22 08:27:18 UTC (rev 8267)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-04-23 18:33:51 UTC (rev 8268)
@@ -6406,11 +6406,10 @@
*interpolation*:
Acceptable values are *None*, 'nearest', 'bilinear',
- 'bicubic', 'spline16', 'spline36', 'hanning', 'hamming',
- 'hermite', 'kaiser', 'quadric', 'catrom', 'gaussian',
- 'bessel', 'mitchell', 'sinc', 'lanczos',
+ 'bicubic', 'spline16', 'spline36', 'hanning', 'hamming',
+ 'hermite', 'kaiser', 'quadric', 'catrom', 'gaussian',
+ 'bessel', 'mitchell', 'sinc', 'lanczos'
-
If *interpolation* is *None*, default to rc
``image.interpolation``. See also the *filternorm* and
*filterrad* parameters
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|
|
From: <ef...@us...> - 2010-04-26 21:11:10
|
Revision: 8274
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8274&view=rev
Author: efiring
Date: 2010-04-26 21:11:03 +0000 (Mon, 26 Apr 2010)
Log Message:
-----------
axes: set _tight default to False; restore previous nonsingular expander
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-04-26 20:37:14 UTC (rev 8273)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-04-26 21:11:03 UTC (rev 8274)
@@ -838,7 +838,7 @@
self._autoscaleYon = True
self._xmargin = 0
self._ymargin = 0
- self._tight = True
+ self._tight = False
self._update_transScale() # needed?
self._get_lines = _process_plot_var_args(self)
@@ -1722,7 +1722,8 @@
dl = [ax.dataLim for ax in xshared]
bb = mtransforms.BboxBase.union(dl)
x0, x1 = bb.intervalx
- x0, x1 = mtransforms.nonsingular(x0, x1, increasing=False)
+ x0, x1 = mtransforms.nonsingular(x0, x1, increasing=False,
+ expander=0.05)
if self._xmargin > 0:
delta = (x1 - x0) * self._xmargin
x0 -= delta
@@ -1736,7 +1737,8 @@
dl = [ax.dataLim for ax in yshared]
bb = mtransforms.BboxBase.union(dl)
y0, y1 = bb.intervaly
- y0, y1 = mtransforms.nonsingular(y0, y1, increasing=False)
+ y0, y1 = mtransforms.nonsingular(y0, y1, increasing=False,
+ expander=0.05)
if self._ymargin > 0:
delta = (y1 - y0) * self._ymargin
y0 -= delta
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|
|
From: <ef...@us...> - 2010-05-04 05:24:59
|
Revision: 8293
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8293&view=rev
Author: efiring
Date: 2010-05-04 05:24:53 +0000 (Tue, 04 May 2010)
Log Message:
-----------
hist: accept a list of scalars as equivalent to a 1-D ndarray
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-05-03 18:37:38 UTC (rev 8292)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-05-04 05:24:53 UTC (rev 8293)
@@ -6187,7 +6187,7 @@
precise point of intersection. Otherwise, the start and
end points of the filled region will only occur on explicit
values in the *x* array.
-
+
*kwargs*
keyword args passed on to the :class:`PolyCollection`
@@ -6254,13 +6254,13 @@
return x[ind-1], y1[ind-1]
elif np.ma.is_masked(diff_values[0]):
return x[ind], y1[ind]
-
+
diff_order = diff_values.argsort()
diff_root_x = np.interp(
0, diff_values[diff_order], x_values[diff_order])
diff_root_y = np.interp(diff_root_x, x_values, y1_values)
return diff_root_x, diff_root_y
-
+
start = get_interp_point(ind0)
end = get_interp_point(ind1)
else:
@@ -6272,12 +6272,12 @@
X[0] = start
X[N+1] = end
-
+
X[1:N+1,0] = xslice
X[1:N+1,1] = y1slice
X[N+2:,0] = xslice[::-1]
X[N+2:,1] = y2slice[::-1]
-
+
polys.append(X)
collection = mcoll.PolyCollection(polys, **kwargs)
@@ -7328,7 +7328,7 @@
'hist now uses the rwidth to give relative width '
'and not absolute width')
- if isinstance(x, np.ndarray):
+ if isinstance(x, np.ndarray) or not iterable(x[0]):
# TODO: support masked arrays;
x = np.asarray(x)
if x.ndim == 2:
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From: <lee...@us...> - 2010-05-04 19:46:34
|
Revision: 8295
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8295&view=rev
Author: leejjoon
Date: 2010-05-04 19:46:28 +0000 (Tue, 04 May 2010)
Log Message:
-----------
Axes.annotate sets _remove_method
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-05-04 17:53:33 UTC (rev 8294)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-05-04 19:46:28 UTC (rev 8295)
@@ -3033,6 +3033,7 @@
self._set_artist_props(a)
if kwargs.has_key('clip_on'): a.set_clip_path(self.patch)
self.texts.append(a)
+ a._remove_method = lambda h: self.texts.remove(h)
return a
#### Lines and spans
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From: <ry...@us...> - 2010-05-09 02:59:36
|
Revision: 8301
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8301&view=rev
Author: ryanmay
Date: 2010-05-09 02:59:29 +0000 (Sun, 09 May 2010)
Log Message:
-----------
Clarify axes.scatter docstring slightly for using 'none' as a string instead of the None object.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-05-06 19:59:32 UTC (rev 8300)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-05-09 02:59:29 UTC (rev 8301)
@@ -5424,10 +5424,10 @@
particular:
*edgecolors*:
- 'none' to plot faces with no outlines
+ The string 'none' to plot faces with no outlines
*facecolors*:
- 'none' to plot unfilled outlines
+ The string 'none' to plot unfilled outlines
Here are the standard descriptions of all the
:class:`~matplotlib.collections.Collection` kwargs:
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From: <md...@us...> - 2010-05-10 18:06:51
|
Revision: 8302
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8302&view=rev
Author: mdboom
Date: 2010-05-10 18:06:45 +0000 (Mon, 10 May 2010)
Log Message:
-----------
Fix aspect ratio calculation for polar plots.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-05-09 02:59:29 UTC (rev 8301)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-05-10 18:06:45 UTC (rev 8302)
@@ -1084,20 +1084,23 @@
aspect = self.get_aspect()
- xscale, yscale = self.get_xscale(), self.get_yscale()
- if xscale == "linear" and yscale == "linear":
+ if self.name != 'polar':
+ xscale, yscale = self.get_xscale(), self.get_yscale()
+ if xscale == "linear" and yscale == "linear":
+ aspect_scale_mode = "linear"
+ elif xscale == "log" and yscale == "log":
+ aspect_scale_mode = "log"
+ elif (xscale == "linear" and yscale == "log") or \
+ (xscale == "log" and yscale == "linear"):
+ if aspect is not "auto":
+ warnings.warn(
+ 'aspect is not supported for Axes with xscale=%s, yscale=%s' \
+ % (xscale, yscale))
+ aspect = "auto"
+ else: # some custom projections have their own scales.
+ pass
+ else:
aspect_scale_mode = "linear"
- elif xscale == "log" and yscale == "log":
- aspect_scale_mode = "log"
- elif (xscale == "linear" and yscale == "log") or \
- (xscale == "log" and yscale == "linear"):
- if aspect is not "auto":
- warnings.warn(
- 'aspect is not supported for Axes with xscale=%s, yscale=%s' \
- % (xscale, yscale))
- aspect = "auto"
- else: # some custom projections have their own scales.
- pass
if aspect == 'auto':
self.set_position( position , which='active')
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From: <md...@us...> - 2010-05-10 20:34:42
|
Revision: 8306
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8306&view=rev
Author: mdboom
Date: 2010-05-10 20:34:33 +0000 (Mon, 10 May 2010)
Log Message:
-----------
[2998906] OverflowError when xscale='log' for hexbin
Raises ValueError if trying to log-scale non-positive values.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-05-10 20:17:51 UTC (rev 8305)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-05-10 20:34:33 UTC (rev 8306)
@@ -5778,8 +5778,12 @@
x = np.array(x, float)
y = np.array(y, float)
if xscale=='log':
+ if np.any(x <= 0.0):
+ raise ValueError("x contains non-positive values, so can not be log-scaled")
x = np.log10(x)
if yscale=='log':
+ if np.any(y <= 0.0):
+ raise ValueError("y contains non-positive values, so can not be log-scaled")
y = np.log10(y)
if extent is not None:
xmin, xmax, ymin, ymax = extent
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From: <lee...@us...> - 2010-05-18 17:14:47
|
Revision: 8318
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8318&view=rev
Author: leejjoon
Date: 2010-05-18 17:14:40 +0000 (Tue, 18 May 2010)
Log Message:
-----------
fix savefig bug
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-05-17 19:03:58 UTC (rev 8317)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-05-18 17:14:40 UTC (rev 8318)
@@ -8002,7 +8002,7 @@
bb.extend([bby1, bby2])
- bb.extend([c.get_window_extent(renderer) for c in artists])
+ bb.extend([c.get_window_extent(renderer) for c in artists if c.get_visible()])
_bbox = mtransforms.Bbox.union([b for b in bb if b.width!=0 or b.height!=0])
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