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Revision: 8681 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8681&view=rev Author: efiring Date: 2010年09月05日 19:33:42 +0000 (2010年9月05日) Log Message: ----------- [3050996] Prevent an Axes from being added to a Figure twice. The changeset includes refactoring to consolidate all Axes tracking in a single data structure. Modified Paths: -------------- trunk/matplotlib/lib/matplotlib/artist.py trunk/matplotlib/lib/matplotlib/figure.py Modified: trunk/matplotlib/lib/matplotlib/artist.py =================================================================== --- trunk/matplotlib/lib/matplotlib/artist.py 2010年09月05日 00:43:25 UTC (rev 8680) +++ trunk/matplotlib/lib/matplotlib/artist.py 2010年09月05日 19:33:42 UTC (rev 8681) @@ -92,7 +92,11 @@ self.eventson = False # fire events only if eventson self._oid = 0 # an observer id self._propobservers = {} # a dict from oids to funcs - self.axes = None + try: + self.axes = None + except AttributeError: + # Handle self.axes as a read-only property, as in Figure. + pass self._remove_method = None self._url = None self._gid = None Modified: trunk/matplotlib/lib/matplotlib/figure.py =================================================================== --- trunk/matplotlib/lib/matplotlib/figure.py 2010年09月05日 00:43:25 UTC (rev 8680) +++ trunk/matplotlib/lib/matplotlib/figure.py 2010年09月05日 19:33:42 UTC (rev 8681) @@ -37,6 +37,64 @@ docstring.interpd.update(projection_names = get_projection_names()) +class AxesStack(Stack): + """ + Specialization of the Stack to handle all + tracking of Axes in a Figure. This requires storing + key, axes pairs. The key is based on the args and kwargs + used in generating the Axes. + """ + def as_list(self): + """ + Return a list of the Axes instances that have been added to the figure + """ + return [a for k, a in self._elements] + + def get(self, key): + """ + Return the Axes instance that was added with *key*. + If it is not present, return None. + """ + return dict(self._elements).get(key) + + def _entry_from_axes(self, e): + k = dict([(a, k) for (k, a) in self._elements])[e] + return k, e + + def remove(self, a): + Stack.remove(self, self._entry_from_axes(a)) + + def bubble(self, a): + return Stack.bubble(self, self._entry_from_axes(a)) + + def add(self, key, a): + """ + Add Axes *a*, with key *key*, to the stack, and return the stack. + + If *a* is already on the stack, don't add it again, but + return *None*. + """ + # All the error checking may be unnecessary; but this method + # is called so seldom that the overhead is negligible. + if not isinstance(a, Axes): + raise ValueError("second argument, %s, is not an Axes" % a) + try: + hash(key) + except TypeError: + raise ValueError("first argument, %s, is not a valid key" % key) + if a in self: + return None + return Stack.push(self, (key, a)) + + def __call__(self): + if not len(self._elements): + return self._default + else: + return self._elements[self._pos][1] + + def __contains__(self, a): + return a in self.as_list() + class SubplotParams: """ A class to hold the parameters for a subplot @@ -202,11 +260,15 @@ self.subplotpars = subplotpars - self._axstack = Stack() # maintain the current axes - self.axes = [] + self._axstack = AxesStack() # track all figure axes and current axes self.clf() self._cachedRenderer = None + def _get_axes(self): + return self._axstack.as_list() + + axes = property(fget=_get_axes, doc="Read-only: list of axes in Figure") + def _get_dpi(self): return self._dpi def _set_dpi(self, dpi): @@ -523,15 +585,9 @@ def delaxes(self, a): 'remove a from the figure and update the current axes' - self.axes.remove(a) self._axstack.remove(a) - keys = [] - for key, thisax in self._seen.items(): - if a==thisax: del self._seen[key] for func in self._axobservers: func(self) - - def _make_key(self, *args, **kwargs): 'make a hashable key out of args and kwargs' @@ -595,8 +651,8 @@ key = self._make_key(*args, **kwargs) - if key in self._seen: - ax = self._seen[key] + ax = self._axstack.get(key) + if ax is not None: self.sca(ax) return ax @@ -618,10 +674,9 @@ a = projection_factory(projection, self, rect, **kwargs) - self.axes.append(a) - self._axstack.push(a) + if a not in self._axstack: + self._axstack.add(key, a) self.sca(a) - self._seen[key] = a return a @docstring.dedent_interpd @@ -675,19 +730,16 @@ projection_class = get_projection_class(projection) key = self._make_key(*args, **kwargs) - if key in self._seen: - ax = self._seen[key] + ax = self._axstack.get(key) + if ax is not None: if isinstance(ax, projection_class): self.sca(ax) return ax else: - self.axes.remove(ax) self._axstack.remove(ax) a = subplot_class_factory(projection_class)(self, *args, **kwargs) - self._seen[key] = a - self.axes.append(a) - self._axstack.push(a) + self._axstack.add(key, a) self.sca(a) return a @@ -703,13 +755,12 @@ for ax in tuple(self.axes): # Iterate over the copy. ax.cla() - self.delaxes(ax) # removes ax from self.axes + self.delaxes(ax) # removes ax from self._axstack toolbar = getattr(self.canvas, 'toolbar', None) if toolbar is not None: toolbar.update() self._axstack.clear() - self._seen = {} self.artists = [] self.lines = [] self.patches = [] @@ -975,7 +1026,7 @@ helper for :func:`~matplotlib.pyplot.gci`; do not use elsewhere. """ - for ax in reversed(self._axstack): + for ax in reversed(self.axes): im = ax._gci() if im is not None: return im This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
Revision: 8680 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8680&view=rev Author: efiring Date: 2010年09月05日 00:43:25 +0000 (2010年9月05日) Log Message: ----------- Merged revisions 8679 via svnmerge from https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/branches/v1_0_maint ........ r8679 | efiring | 2010年09月04日 14:38:45 -1000 (2010年9月04日) | 2 lines [3024007] Fix ancient bug in hist inherited from numpy, fixed in numpy 1.5 ........ Modified Paths: -------------- trunk/matplotlib/lib/matplotlib/axes.py Property Changed: ---------------- trunk/matplotlib/ trunk/matplotlib/doc/pyplots/README trunk/matplotlib/doc/sphinxext/gen_gallery.py trunk/matplotlib/doc/sphinxext/gen_rst.py trunk/matplotlib/examples/misc/multiprocess.py trunk/matplotlib/examples/mplot3d/contour3d_demo.py trunk/matplotlib/examples/mplot3d/contourf3d_demo.py trunk/matplotlib/examples/mplot3d/polys3d_demo.py trunk/matplotlib/examples/mplot3d/scatter3d_demo.py trunk/matplotlib/examples/mplot3d/surface3d_demo.py trunk/matplotlib/examples/mplot3d/wire3d_demo.py trunk/matplotlib/lib/matplotlib/sphinxext/mathmpl.py trunk/matplotlib/lib/matplotlib/sphinxext/only_directives.py trunk/matplotlib/lib/matplotlib/sphinxext/plot_directive.py trunk/matplotlib/lib/matplotlib/tests/baseline_images/test_spines/spines_axes_positions.png Property changes on: trunk/matplotlib ___________________________________________________________________ Modified: svnmerge-integrated - 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Note:: Until numpy release 1.5, the underlying numpy + histogram function was incorrect with *normed*=*True* + if bin sizes were unequal. MPL inherited that + error. It is now corrected within MPL when using + earlier numpy versions + *weights* An array of weights, of the same shape as *x*. Each value in *x* only contributes its associated weight towards the bin @@ -7647,7 +7653,10 @@ xmax = max(xmax, xi.max()) range = (xmin, xmax) - hist_kwargs = dict(range=range, normed=bool(normed)) + #hist_kwargs = dict(range=range, normed=bool(normed)) + # We will handle the normed kwarg within mpl until we + # get to the point of requiring numpy >= 1.5. + hist_kwargs = dict(range=range) if np.__version__ < "1.3": # version 1.1 and 1.2 hist_kwargs['new'] = True @@ -7656,8 +7665,21 @@ # 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) + if normed: + db = np.diff(bins) + m = (m.astype(float) / db) / m.sum() n.append(m) + if normed and db.std() > 0.01 * db.mean(): + warnings.warn(""" + This release fixes a normalization bug in the NumPy histogram + function prior to version 1.5, occuring with non-uniform + bin widths. The returned and plotted value is now a density: + n / (N * bin width), + where n is the bin count and N the total number of points. + """) + + if cumulative: slc = slice(None) if cbook.is_numlike(cumulative) and cumulative < 0: Property changes on: trunk/matplotlib/lib/matplotlib/sphinxext/mathmpl.py ___________________________________________________________________ Modified: svn:mergeinfo - /branches/v0_91_maint/doc/sphinxext/mathmpl.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/mathmpl.py:6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245 /branches/v0_99_maint/lib/matplotlib/sphinxext/mathmpl.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135 /branches/v1_0_maint/lib/matplotlib/sphinxext/mathmpl.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677 + /branches/v0_91_maint/doc/sphinxext/mathmpl.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/mathmpl.py:6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245 /branches/v0_99_maint/lib/matplotlib/sphinxext/mathmpl.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135 /branches/v1_0_maint/lib/matplotlib/sphinxext/mathmpl.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679 Property changes on: trunk/matplotlib/lib/matplotlib/sphinxext/only_directives.py ___________________________________________________________________ Modified: svn:mergeinfo - 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Revision: 8679 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8679&view=rev Author: efiring Date: 2010年09月05日 00:38:45 +0000 (2010年9月05日) Log Message: ----------- [3024007] Fix ancient bug in hist inherited from numpy, fixed in numpy 1.5 Modified Paths: -------------- branches/v1_0_maint/lib/matplotlib/axes.py Modified: branches/v1_0_maint/lib/matplotlib/axes.py =================================================================== --- branches/v1_0_maint/lib/matplotlib/axes.py 2010年09月04日 21:23:03 UTC (rev 8678) +++ branches/v1_0_maint/lib/matplotlib/axes.py 2010年09月05日 00:38:45 UTC (rev 8679) @@ -7451,6 +7451,12 @@ pdf, bins, patches = ax.hist(...) print np.sum(pdf * np.diff(bins)) + .. Note:: Until numpy release 1.5, the underlying numpy + histogram function was incorrect with *normed*=*True* + if bin sizes were unequal. MPL inherited that + error. It is now corrected within MPL when using + earlier numpy versions + *weights* An array of weights, of the same shape as *x*. Each value in *x* only contributes its associated weight towards the bin @@ -7632,7 +7638,10 @@ xmax = max(xmax, xi.max()) range = (xmin, xmax) - hist_kwargs = dict(range=range, normed=bool(normed)) + #hist_kwargs = dict(range=range, normed=bool(normed)) + # We will handle the normed kwarg within mpl until we + # get to the point of requiring numpy >= 1.5. + hist_kwargs = dict(range=range) if np.__version__ < "1.3": # version 1.1 and 1.2 hist_kwargs['new'] = True @@ -7641,8 +7650,21 @@ # 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) + if normed: + db = np.diff(bins) + m = (m.astype(float) / db) / m.sum() n.append(m) + if normed and db.std() > 0.01 * db.mean(): + warnings.warn(""" + This release fixes a normalization bug in the NumPy histogram + function prior to version 1.5, occuring with non-uniform + bin widths. The returned and plotted value is now a density: + n / (N * bin width), + where n is the bin count and N the total number of points. + """) + + if cumulative: slc = slice(None) if cbook.is_numlike(cumulative) and cumulative < 0: This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.