Python matplotlib.cbook.Bunch() Examples
The following are 20
code examples of matplotlib.cbook.Bunch().
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Example #1
Source File: _base.py From twitter-stock-recommendation with MIT License | 6 votes |
def start_pan(self, x, y, button): """ Called when a pan operation has started. *x*, *y* are the mouse coordinates in display coords. button is the mouse button number: * 1: LEFT * 2: MIDDLE * 3: RIGHT .. note:: Intended to be overridden by new projection types. """ self._pan_start = cbook.Bunch( lim=self.viewLim.frozen(), trans=self.transData.frozen(), trans_inverse=self.transData.inverted().frozen(), bbox=self.bbox.frozen(), x=x, y=y)
Example #2
Source File: polar.py From matplotlib-4-abaqus with MIT License | 6 votes |
def start_pan(self, x, y, button): angle = np.deg2rad(self._r_label_position.to_values()[4]) mode = '' if button == 1: epsilon = np.pi / 45.0 t, r = self.transData.inverted().transform_point((x, y)) if t >= angle - epsilon and t <= angle + epsilon: mode = 'drag_r_labels' elif button == 3: mode = 'zoom' self._pan_start = cbook.Bunch( rmax = self.get_rmax(), trans = self.transData.frozen(), trans_inverse = self.transData.inverted().frozen(), r_label_angle = self._r_label_position.to_values()[4], x = x, y = y, mode = mode )
Example #3
Source File: polar.py From twitter-stock-recommendation with MIT License | 6 votes |
def start_pan(self, x, y, button): angle = np.deg2rad(self.get_rlabel_position()) mode = '' if button == 1: epsilon = np.pi / 45.0 t, r = self.transData.inverted().transform_point((x, y)) if t >= angle - epsilon and t <= angle + epsilon: mode = 'drag_r_labels' elif button == 3: mode = 'zoom' self._pan_start = cbook.Bunch( rmax=self.get_rmax(), trans=self.transData.frozen(), trans_inverse=self.transData.inverted().frozen(), r_label_angle=self.get_rlabel_position(), x=x, y=y, mode=mode)
Example #4
Source File: _base.py From ImageFusion with MIT License | 6 votes |
def start_pan(self, x, y, button): """ Called when a pan operation has started. *x*, *y* are the mouse coordinates in display coords. button is the mouse button number: * 1: LEFT * 2: MIDDLE * 3: RIGHT .. note:: Intended to be overridden by new projection types. """ self._pan_start = cbook.Bunch( lim=self.viewLim.frozen(), trans=self.transData.frozen(), trans_inverse=self.transData.inverted().frozen(), bbox=self.bbox.frozen(), x=x, y=y)
Example #5
Source File: polar.py From ImageFusion with MIT License | 6 votes |
def start_pan(self, x, y, button): angle = np.deg2rad(self.get_rlabel_position()) mode = '' if button == 1: epsilon = np.pi / 45.0 t, r = self.transData.inverted().transform_point((x, y)) if t >= angle - epsilon and t <= angle + epsilon: mode = 'drag_r_labels' elif button == 3: mode = 'zoom' self._pan_start = cbook.Bunch( rmax = self.get_rmax(), trans = self.transData.frozen(), trans_inverse = self.transData.inverted().frozen(), r_label_angle = self.get_rlabel_position(), x = x, y = y, mode = mode )
Example #6
Source File: polar.py From neural-network-animation with MIT License | 6 votes |
def start_pan(self, x, y, button): angle = np.deg2rad(self.get_rlabel_position()) mode = '' if button == 1: epsilon = np.pi / 45.0 t, r = self.transData.inverted().transform_point((x, y)) if t >= angle - epsilon and t <= angle + epsilon: mode = 'drag_r_labels' elif button == 3: mode = 'zoom' self._pan_start = cbook.Bunch( rmax = self.get_rmax(), trans = self.transData.frozen(), trans_inverse = self.transData.inverted().frozen(), r_label_angle = self.get_rlabel_position(), x = x, y = y, mode = mode )
Example #7
Source File: _base.py From neural-network-animation with MIT License | 6 votes |
def start_pan(self, x, y, button): """ Called when a pan operation has started. *x*, *y* are the mouse coordinates in display coords. button is the mouse button number: * 1: LEFT * 2: MIDDLE * 3: RIGHT .. note:: Intended to be overridden by new projection types. """ self._pan_start = cbook.Bunch( lim=self.viewLim.frozen(), trans=self.transData.frozen(), trans_inverse=self.transData.inverted().frozen(), bbox=self.bbox.frozen(), x=x, y=y)
Example #8
Source File: polar.py From Computable with MIT License | 6 votes |
def start_pan(self, x, y, button): angle = np.deg2rad(self._r_label_position.to_values()[4]) mode = '' if button == 1: epsilon = np.pi / 45.0 t, r = self.transData.inverted().transform_point((x, y)) if t >= angle - epsilon and t <= angle + epsilon: mode = 'drag_r_labels' elif button == 3: mode = 'zoom' self._pan_start = cbook.Bunch( rmax = self.get_rmax(), trans = self.transData.frozen(), trans_inverse = self.transData.inverted().frozen(), r_label_angle = self._r_label_position.to_values()[4], x = x, y = y, mode = mode )
Example #9
Source File: dviread.py From neural-network-animation with MIT License | 5 votes |
def _output(self): """ Output the text and boxes belonging to the most recent page. page = dvi._output() """ minx, miny, maxx, maxy = np.inf, np.inf, -np.inf, -np.inf maxy_pure = -np.inf for elt in self.text + self.boxes: if len(elt) == 4: # box x,y,h,w = elt e = 0 # zero depth else: # glyph x,y,font,g,w = elt h,e = font._height_depth_of(g) minx = min(minx, x) miny = min(miny, y - h) maxx = max(maxx, x + w) maxy = max(maxy, y + e) maxy_pure = max(maxy_pure, y) if self.dpi is None: # special case for ease of debugging: output raw dvi coordinates return mpl_cbook.Bunch(text=self.text, boxes=self.boxes, width=maxx-minx, height=maxy_pure-miny, descent=descent) d = self.dpi / (72.27 * 2**16) # from TeX's "scaled points" to dpi units if self.baseline is None: descent = (maxy - maxy_pure) * d else: descent = self.baseline text = [ ((x-minx)*d, (maxy-y)*d - descent, f, g, w*d) for (x,y,f,g,w) in self.text ] boxes = [ ((x-minx)*d, (maxy-y)*d - descent, h*d, w*d) for (x,y,h,w) in self.boxes ] return mpl_cbook.Bunch(text=text, boxes=boxes, width=(maxx-minx)*d, height=(maxy_pure-miny)*d, descent=descent)
Example #10
Source File: mathtext.py From twitter-stock-recommendation with MIT License | 5 votes |
def _get_info(self, fontname, font_class, sym, fontsize, dpi, math=True): key = fontname, font_class, sym, fontsize, dpi bunch = self.glyphd.get(key) if bunch is not None: return bunch font, num, symbol_name, fontsize, slanted = \ self._get_glyph(fontname, font_class, sym, fontsize, math) font.set_size(fontsize, dpi) glyph = font.load_char( num, flags=self.mathtext_backend.get_hinting_type()) xmin, ymin, xmax, ymax = [val/64.0 for val in glyph.bbox] offset = self._get_offset(font, glyph, fontsize, dpi) metrics = Bunch( advance = glyph.linearHoriAdvance/65536.0, height = glyph.height/64.0, width = glyph.width/64.0, xmin = xmin, xmax = xmax, ymin = ymin+offset, ymax = ymax+offset, # iceberg is the equivalent of TeX's "height" iceberg = glyph.horiBearingY/64.0 + offset, slanted = slanted ) result = self.glyphd[key] = Bunch( font = font, fontsize = fontsize, postscript_name = font.postscript_name, metrics = metrics, symbol_name = symbol_name, num = num, glyph = glyph, offset = offset ) return result
Example #11
Source File: mathtext.py From twitter-stock-recommendation with MIT License | 5 votes |
def get_results(self, box, used_characters): ship(0, 0, box) svg_elements = Bunch(svg_glyphs = self.svg_glyphs, svg_rects = self.svg_rects) return (self.width, self.height + self.depth, self.depth, svg_elements, used_characters)
Example #12
Source File: backend_driver_sgskip.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
def parse_options(): doc = (__doc__ and __doc__.split('\n\n')) or " " op = OptionParser(description=doc[0].strip(), usage='%prog [options] [--] [backends and switches]', #epilog='\n'.join(doc[1:]) # epilog not supported on my python2.4 machine: JDH ) op.disable_interspersed_args() op.set_defaults(dirs='pylab,api,units,mplot3d', clean=False, coverage=False, valgrind=False) op.add_option('-d', '--dirs', '--directories', type='string', dest='dirs', help=dedent(''' Run only the tests in these directories; comma-separated list of one or more of: pylab (or pylab_examples), api, units, mplot3d''')) op.add_option('-b', '--backends', type='string', dest='backends', help=dedent(''' Run tests only for these backends; comma-separated list of one or more of: agg, ps, svg, pdf, template, cairo, Default is everything except cairo.''')) op.add_option('--clean', action='store_true', dest='clean', help='Remove result directories, run no tests') op.add_option('-c', '--coverage', action='store_true', dest='coverage', help='Run in coverage.py') op.add_option('-v', '--valgrind', action='store_true', dest='valgrind', help='Run in valgrind') options, args = op.parse_args() switches = [x for x in args if x.startswith('--')] backends = [x.lower() for x in args if not x.startswith('--')] if options.backends: backends += [be.lower() for be in options.backends.split(',')] result = Bunch( dirs=options.dirs.split(','), backends=backends or ['agg', 'ps', 'svg', 'pdf', 'template'], clean=options.clean, coverage=options.coverage, valgrind=options.valgrind, switches=switches) if 'pylab_examples' in result.dirs: result.dirs[result.dirs.index('pylab_examples')] = 'pylab' return result
Example #13
Source File: dviread.py From neural-network-animation with MIT License | 5 votes |
def _finalize_packet(self): self._chars[self._packet_char] = mpl_cbook.Bunch( text=self.text, boxes=self.boxes, width = self._packet_width) self.state = _dvistate.outer
Example #14
Source File: dviread.py From matplotlib-4-abaqus with MIT License | 5 votes |
def _finalize_packet(self): self._chars[self._packet_char] = mpl_cbook.Bunch( text=self.text, boxes=self.boxes, width = self._packet_width) self.state = _dvistate.outer
Example #15
Source File: dviread.py From matplotlib-4-abaqus with MIT License | 5 votes |
def _output(self): """ Output the text and boxes belonging to the most recent page. page = dvi._output() """ minx, miny, maxx, maxy = np.inf, np.inf, -np.inf, -np.inf maxy_pure = -np.inf for elt in self.text + self.boxes: if len(elt) == 4: # box x,y,h,w = elt e = 0 # zero depth else: # glyph x,y,font,g,w = elt h,e = font._height_depth_of(g) minx = min(minx, x) miny = min(miny, y - h) maxx = max(maxx, x + w) maxy = max(maxy, y + e) maxy_pure = max(maxy_pure, y) if self.dpi is None: # special case for ease of debugging: output raw dvi coordinates return mpl_cbook.Bunch(text=self.text, boxes=self.boxes, width=maxx-minx, height=maxy_pure-miny, descent=descent) d = self.dpi / (72.27 * 2**16) # from TeX's "scaled points" to dpi units if self.baseline is None: descent = (maxy - maxy_pure) * d else: descent = self.baseline text = [ ((x-minx)*d, (maxy-y)*d - descent, f, g, w*d) for (x,y,f,g,w) in self.text ] boxes = [ ((x-minx)*d, (maxy-y)*d - descent, h*d, w*d) for (x,y,h,w) in self.boxes ] return mpl_cbook.Bunch(text=text, boxes=boxes, width=(maxx-minx)*d, height=(maxy_pure-miny)*d, descent=descent)
Example #16
Source File: dviread.py From Computable with MIT License | 5 votes |
def _finalize_packet(self): self._chars[self._packet_char] = mpl_cbook.Bunch( text=self.text, boxes=self.boxes, width = self._packet_width) self.state = _dvistate.outer
Example #17
Source File: dviread.py From Computable with MIT License | 5 votes |
def _output(self): """ Output the text and boxes belonging to the most recent page. page = dvi._output() """ minx, miny, maxx, maxy = np.inf, np.inf, -np.inf, -np.inf maxy_pure = -np.inf for elt in self.text + self.boxes: if len(elt) == 4: # box x,y,h,w = elt e = 0 # zero depth else: # glyph x,y,font,g,w = elt h,e = font._height_depth_of(g) minx = min(minx, x) miny = min(miny, y - h) maxx = max(maxx, x + w) maxy = max(maxy, y + e) maxy_pure = max(maxy_pure, y) if self.dpi is None: # special case for ease of debugging: output raw dvi coordinates return mpl_cbook.Bunch(text=self.text, boxes=self.boxes, width=maxx-minx, height=maxy_pure-miny, descent=descent) d = self.dpi / (72.27 * 2**16) # from TeX's "scaled points" to dpi units if self.baseline is None: descent = (maxy - maxy_pure) * d else: descent = self.baseline text = [ ((x-minx)*d, (maxy-y)*d - descent, f, g, w*d) for (x,y,f,g,w) in self.text ] boxes = [ ((x-minx)*d, (maxy-y)*d - descent, h*d, w*d) for (x,y,h,w) in self.boxes ] return mpl_cbook.Bunch(text=text, boxes=boxes, width=(maxx-minx)*d, height=(maxy_pure-miny)*d, descent=descent)
Example #18
Source File: dviread.py From neural-network-animation with MIT License | 4 votes |
def _register(self, words): """Register a font described by "words". The format is, AFAIK: texname fontname [effects and filenames] Effects are PostScript snippets like ".177 SlantFont", filenames begin with one or two less-than signs. A filename ending in enc is an encoding file, other filenames are font files. This can be overridden with a left bracket: <[foobar indicates an encoding file named foobar. There is some difference between <foo.pfb and <<bar.pfb in subsetting, but I have no example of << in my TeX installation. """ # If the map file specifies multiple encodings for a font, we # follow pdfTeX in choosing the last one specified. Such # entries are probably mistakes but they have occurred. # http://tex.stackexchange.com/questions/10826/ # http://article.gmane.org/gmane.comp.tex.pdftex/4914 texname, psname = words[:2] effects, encoding, filename = '', None, None for word in words[2:]: if not word.startswith('<'): effects = word else: word = word.lstrip('<') if word.startswith('[') or word.endswith('.enc'): if encoding is not None: matplotlib.verbose.report( 'Multiple encodings for %s = %s' % (texname, psname), 'debug') if word.startswith('['): encoding = word[1:] else: encoding = word else: assert filename is None filename = word eff = effects.split() effects = {} try: effects['slant'] = float(eff[eff.index('SlantFont')-1]) except ValueError: pass try: effects['extend'] = float(eff[eff.index('ExtendFont')-1]) except ValueError: pass self._font[texname] = mpl_cbook.Bunch( texname=texname, psname=psname, effects=effects, encoding=encoding, filename=filename)
Example #19
Source File: dviread.py From matplotlib-4-abaqus with MIT License | 4 votes |
def _register(self, words): """Register a font described by "words". The format is, AFAIK: texname fontname [effects and filenames] Effects are PostScript snippets like ".177 SlantFont", filenames begin with one or two less-than signs. A filename ending in enc is an encoding file, other filenames are font files. This can be overridden with a left bracket: <[foobar indicates an encoding file named foobar. There is some difference between <foo.pfb and <<bar.pfb in subsetting, but I have no example of << in my TeX installation. """ # If the map file specifies multiple encodings for a font, we # follow pdfTeX in choosing the last one specified. Such # entries are probably mistakes but they have occurred. # http://tex.stackexchange.com/questions/10826/ # http://article.gmane.org/gmane.comp.tex.pdftex/4914 texname, psname = words[:2] effects, encoding, filename = '', None, None for word in words[2:]: if not word.startswith('<'): effects = word else: word = word.lstrip('<') if word.startswith('[') or word.endswith('.enc'): if encoding is not None: matplotlib.verbose.report( 'Multiple encodings for %s = %s' % (texname, psname), 'debug') if word.startswith('['): encoding = word[1:] else: encoding = word else: assert filename is None filename = word eff = effects.split() effects = {} try: effects['slant'] = float(eff[eff.index('SlantFont')-1]) except ValueError: pass try: effects['extend'] = float(eff[eff.index('ExtendFont')-1]) except ValueError: pass self._font[texname] = mpl_cbook.Bunch( texname=texname, psname=psname, effects=effects, encoding=encoding, filename=filename)
Example #20
Source File: dviread.py From Computable with MIT License | 4 votes |
def _register(self, words): """Register a font described by "words". The format is, AFAIK: texname fontname [effects and filenames] Effects are PostScript snippets like ".177 SlantFont", filenames begin with one or two less-than signs. A filename ending in enc is an encoding file, other filenames are font files. This can be overridden with a left bracket: <[foobar indicates an encoding file named foobar. There is some difference between <foo.pfb and <<bar.pfb in subsetting, but I have no example of << in my TeX installation. """ # If the map file specifies multiple encodings for a font, we # follow pdfTeX in choosing the last one specified. Such # entries are probably mistakes but they have occurred. # http://tex.stackexchange.com/questions/10826/ # http://article.gmane.org/gmane.comp.tex.pdftex/4914 texname, psname = words[:2] effects, encoding, filename = '', None, None for word in words[2:]: if not word.startswith('<'): effects = word else: word = word.lstrip('<') if word.startswith('[') or word.endswith('.enc'): if encoding is not None: matplotlib.verbose.report( 'Multiple encodings for %s = %s' % (texname, psname), 'debug') if word.startswith('['): encoding = word[1:] else: encoding = word else: assert filename is None filename = word eff = effects.split() effects = {} try: effects['slant'] = float(eff[eff.index('SlantFont')-1]) except ValueError: pass try: effects['extend'] = float(eff[eff.index('ExtendFont')-1]) except ValueError: pass self._font[texname] = mpl_cbook.Bunch( texname=texname, psname=psname, effects=effects, encoding=encoding, filename=filename)