Python matplotlib.dviread() Examples

The following are 10 code examples of matplotlib.dviread(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module matplotlib , or try the search function .
Example #1
Source File: backend_pdf.py    From Computable with MIT License 5 votes vote down vote up 
def tex_font_mapping(self, texfont):
        if self.tex_font_map is None:
            self.tex_font_map = \
                dviread.PsfontsMap(dviread.find_tex_file('pdftex.map'))
        return self.tex_font_map[texfont]
Example #2
Source File: backend_pdf.py    From matplotlib-4-abaqus with MIT License 5 votes vote down vote up 
def tex_font_mapping(self, texfont):
        if self.tex_font_map is None:
            self.tex_font_map = \
                dviread.PsfontsMap(dviread.find_tex_file('pdftex.map'))
        return self.tex_font_map[texfont]
Example #3
Source File: backend_pdf.py    From neural-network-animation with MIT License 5 votes vote down vote up 
def tex_font_mapping(self, texfont):
        if self.tex_font_map is None:
            self.tex_font_map = \
                dviread.PsfontsMap(dviread.find_tex_file('pdftex.map'))
        return self.tex_font_map[texfont]
Example #4
Source File: backend_pdf.py    From ImageFusion with MIT License 5 votes vote down vote up 
def tex_font_mapping(self, texfont):
        if self.tex_font_map is None:
            self.tex_font_map = \
                dviread.PsfontsMap(dviread.find_tex_file('pdftex.map'))
        return self.tex_font_map[texfont]
Example #5
Source File: backend_pdf.py    From dnaplotlib with MIT License 5 votes vote down vote up 
def tex_font_mapping(self, texfont):
        if self.tex_font_map is None:
            self.tex_font_map = \
                dviread.PsfontsMap(dviread.find_tex_file('pdftex.map'))
        return self.tex_font_map[texfont]
Example #6
Source File: backend_pdf.py    From Computable with MIT License 4 votes vote down vote up 
def embedTeXFont(self, texname, fontinfo):
        matplotlib.verbose.report(
            'Embedding TeX font ' + texname + ' - fontinfo=' + repr(fontinfo.__dict__),
            'debug')

        # Widths
        widthsObject = self.reserveObject('font widths')
        self.writeObject(widthsObject, fontinfo.dvifont.widths)

        # Font dictionary
        fontdictObject = self.reserveObject('font dictionary')
        fontdict = {
            'Type':      Name('Font'),
            'Subtype':   Name('Type1'),
            'FirstChar': 0,
            'LastChar':  len(fontinfo.dvifont.widths) - 1,
            'Widths':    widthsObject,
            }

        # Encoding (if needed)
        if fontinfo.encodingfile is not None:
            enc = dviread.Encoding(fontinfo.encodingfile)
            differencesArray = [ Name(ch) for ch in enc ]
            differencesArray = [ 0 ] + differencesArray
            fontdict['Encoding'] = \
                { 'Type': Name('Encoding'),
                  'Differences': differencesArray }

        # If no file is specified, stop short
        if fontinfo.fontfile is None:
            warnings.warn(
                'Because of TeX configuration (pdftex.map, see updmap ' +
                'option pdftexDownloadBase14) the font %s ' % fontinfo.basefont +
                'is not embedded. This is deprecated as of PDF 1.5 ' +
                'and it may cause the consumer application to show something ' +
                'that was not intended.')
            fontdict['BaseFont'] = Name(fontinfo.basefont)
            self.writeObject(fontdictObject, fontdict)
            return fontdictObject

        # We have a font file to embed - read it in and apply any effects
        t1font = type1font.Type1Font(fontinfo.fontfile)
        if fontinfo.effects:
            t1font = t1font.transform(fontinfo.effects)
        fontdict['BaseFont'] = Name(t1font.prop['FontName'])

        # Font descriptors may be shared between differently encoded
        # Type-1 fonts, so only create a new descriptor if there is no
        # existing descriptor for this font.
        effects = (fontinfo.effects.get('slant', 0.0), fontinfo.effects.get('extend', 1.0))
        fontdesc = self.type1Descriptors.get((fontinfo.fontfile, effects))
        if fontdesc is None:
            fontdesc = self.createType1Descriptor(t1font, fontinfo.fontfile)
            self.type1Descriptors[(fontinfo.fontfile, effects)] = fontdesc
        fontdict['FontDescriptor'] = fontdesc

        self.writeObject(fontdictObject, fontdict)
        return fontdictObject
Example #7
Source File: backend_pdf.py    From matplotlib-4-abaqus with MIT License 4 votes vote down vote up 
def embedTeXFont(self, texname, fontinfo):
        matplotlib.verbose.report(
            'Embedding TeX font ' + texname + ' - fontinfo=' + repr(fontinfo.__dict__),
            'debug')

        # Widths
        widthsObject = self.reserveObject('font widths')
        self.writeObject(widthsObject, fontinfo.dvifont.widths)

        # Font dictionary
        fontdictObject = self.reserveObject('font dictionary')
        fontdict = {
            'Type':      Name('Font'),
            'Subtype':   Name('Type1'),
            'FirstChar': 0,
            'LastChar':  len(fontinfo.dvifont.widths) - 1,
            'Widths':    widthsObject,
            }

        # Encoding (if needed)
        if fontinfo.encodingfile is not None:
            enc = dviread.Encoding(fontinfo.encodingfile)
            differencesArray = [ Name(ch) for ch in enc ]
            differencesArray = [ 0 ] + differencesArray
            fontdict['Encoding'] = \
                { 'Type': Name('Encoding'),
                  'Differences': differencesArray }

        # If no file is specified, stop short
        if fontinfo.fontfile is None:
            warnings.warn(
                'Because of TeX configuration (pdftex.map, see updmap ' +
                'option pdftexDownloadBase14) the font %s ' % fontinfo.basefont +
                'is not embedded. This is deprecated as of PDF 1.5 ' +
                'and it may cause the consumer application to show something ' +
                'that was not intended.')
            fontdict['BaseFont'] = Name(fontinfo.basefont)
            self.writeObject(fontdictObject, fontdict)
            return fontdictObject

        # We have a font file to embed - read it in and apply any effects
        t1font = type1font.Type1Font(fontinfo.fontfile)
        if fontinfo.effects:
            t1font = t1font.transform(fontinfo.effects)
        fontdict['BaseFont'] = Name(t1font.prop['FontName'])

        # Font descriptors may be shared between differently encoded
        # Type-1 fonts, so only create a new descriptor if there is no
        # existing descriptor for this font.
        effects = (fontinfo.effects.get('slant', 0.0), fontinfo.effects.get('extend', 1.0))
        fontdesc = self.type1Descriptors.get((fontinfo.fontfile, effects))
        if fontdesc is None:
            fontdesc = self.createType1Descriptor(t1font, fontinfo.fontfile)
            self.type1Descriptors[(fontinfo.fontfile, effects)] = fontdesc
        fontdict['FontDescriptor'] = fontdesc

        self.writeObject(fontdictObject, fontdict)
        return fontdictObject
Example #8
Source File: backend_pdf.py    From neural-network-animation with MIT License 4 votes vote down vote up 
def embedTeXFont(self, texname, fontinfo):
        msg = ('Embedding TeX font ' + texname + ' - fontinfo=' +
               repr(fontinfo.__dict__))
        matplotlib.verbose.report(msg, 'debug')

        # Widths
        widthsObject = self.reserveObject('font widths')
        self.writeObject(widthsObject, fontinfo.dvifont.widths)

        # Font dictionary
        fontdictObject = self.reserveObject('font dictionary')
        fontdict = {
            'Type':      Name('Font'),
            'Subtype':   Name('Type1'),
            'FirstChar': 0,
            'LastChar':  len(fontinfo.dvifont.widths) - 1,
            'Widths':    widthsObject,
            }

        # Encoding (if needed)
        if fontinfo.encodingfile is not None:
            enc = dviread.Encoding(fontinfo.encodingfile)
            differencesArray = [Name(ch) for ch in enc]
            differencesArray = [0] + differencesArray
            fontdict['Encoding'] = \
                {'Type': Name('Encoding'),
                 'Differences': differencesArray}

        # If no file is specified, stop short
        if fontinfo.fontfile is None:
            msg = ('Because of TeX configuration (pdftex.map, see updmap '
                   'option pdftexDownloadBase14) the font {0} is not '
                   'embedded. This is deprecated as of PDF 1.5 and it may '
                   'cause the consumer application to show something that '
                   'was not intended.').format(fontinfo.basefont)
            warnings.warn(msg)
            fontdict['BaseFont'] = Name(fontinfo.basefont)
            self.writeObject(fontdictObject, fontdict)
            return fontdictObject

        # We have a font file to embed - read it in and apply any effects
        t1font = type1font.Type1Font(fontinfo.fontfile)
        if fontinfo.effects:
            t1font = t1font.transform(fontinfo.effects)
        fontdict['BaseFont'] = Name(t1font.prop['FontName'])

        # Font descriptors may be shared between differently encoded
        # Type-1 fonts, so only create a new descriptor if there is no
        # existing descriptor for this font.
        effects = (fontinfo.effects.get('slant', 0.0),
                   fontinfo.effects.get('extend', 1.0))
        fontdesc = self.type1Descriptors.get((fontinfo.fontfile, effects))
        if fontdesc is None:
            fontdesc = self.createType1Descriptor(t1font, fontinfo.fontfile)
            self.type1Descriptors[(fontinfo.fontfile, effects)] = fontdesc
        fontdict['FontDescriptor'] = fontdesc

        self.writeObject(fontdictObject, fontdict)
        return fontdictObject
Example #9
Source File: backend_pdf.py    From ImageFusion with MIT License 4 votes vote down vote up 
def embedTeXFont(self, texname, fontinfo):
        msg = ('Embedding TeX font ' + texname + ' - fontinfo=' +
               repr(fontinfo.__dict__))
        matplotlib.verbose.report(msg, 'debug')

        # Widths
        widthsObject = self.reserveObject('font widths')
        self.writeObject(widthsObject, fontinfo.dvifont.widths)

        # Font dictionary
        fontdictObject = self.reserveObject('font dictionary')
        fontdict = {
            'Type':      Name('Font'),
            'Subtype':   Name('Type1'),
            'FirstChar': 0,
            'LastChar':  len(fontinfo.dvifont.widths) - 1,
            'Widths':    widthsObject,
            }

        # Encoding (if needed)
        if fontinfo.encodingfile is not None:
            enc = dviread.Encoding(fontinfo.encodingfile)
            differencesArray = [Name(ch) for ch in enc]
            differencesArray = [0] + differencesArray
            fontdict['Encoding'] = \
                {'Type': Name('Encoding'),
                 'Differences': differencesArray}

        # If no file is specified, stop short
        if fontinfo.fontfile is None:
            msg = ('Because of TeX configuration (pdftex.map, see updmap '
                   'option pdftexDownloadBase14) the font {0} is not '
                   'embedded. This is deprecated as of PDF 1.5 and it may '
                   'cause the consumer application to show something that '
                   'was not intended.').format(fontinfo.basefont)
            warnings.warn(msg)
            fontdict['BaseFont'] = Name(fontinfo.basefont)
            self.writeObject(fontdictObject, fontdict)
            return fontdictObject

        # We have a font file to embed - read it in and apply any effects
        t1font = type1font.Type1Font(fontinfo.fontfile)
        if fontinfo.effects:
            t1font = t1font.transform(fontinfo.effects)
        fontdict['BaseFont'] = Name(t1font.prop['FontName'])

        # Font descriptors may be shared between differently encoded
        # Type-1 fonts, so only create a new descriptor if there is no
        # existing descriptor for this font.
        effects = (fontinfo.effects.get('slant', 0.0),
                   fontinfo.effects.get('extend', 1.0))
        fontdesc = self.type1Descriptors.get((fontinfo.fontfile, effects))
        if fontdesc is None:
            fontdesc = self.createType1Descriptor(t1font, fontinfo.fontfile)
            self.type1Descriptors[(fontinfo.fontfile, effects)] = fontdesc
        fontdict['FontDescriptor'] = fontdesc

        self.writeObject(fontdictObject, fontdict)
        return fontdictObject
Example #10
Source File: backend_pdf.py    From dnaplotlib with MIT License 4 votes vote down vote up 
def embedTeXFont(self, texname, fontinfo):
        msg = ('Embedding TeX font ' + texname + ' - fontinfo=' +
               repr(fontinfo.__dict__))
        matplotlib.verbose.report(msg, 'debug')

        # Widths
        widthsObject = self.reserveObject('font widths')
        self.writeObject(widthsObject, fontinfo.dvifont.widths)

        # Font dictionary
        fontdictObject = self.reserveObject('font dictionary')
        fontdict = {
            'Type':      Name('Font'),
            'Subtype':   Name('Type1'),
            'FirstChar': 0,
            'LastChar':  len(fontinfo.dvifont.widths) - 1,
            'Widths':    widthsObject,
            }

        # Encoding (if needed)
        if fontinfo.encodingfile is not None:
            enc = dviread.Encoding(fontinfo.encodingfile)
            differencesArray = [Name(ch) for ch in enc]
            differencesArray = [0] + differencesArray
            fontdict['Encoding'] = \
                {'Type': Name('Encoding'),
                 'Differences': differencesArray}

        # If no file is specified, stop short
        if fontinfo.fontfile is None:
            msg = ('Because of TeX configuration (pdftex.map, see updmap '
                   'option pdftexDownloadBase14) the font {0} is not '
                   'embedded. This is deprecated as of PDF 1.5 and it may '
                   'cause the consumer application to show something that '
                   'was not intended.').format(fontinfo.basefont)
            warnings.warn(msg)
            fontdict['BaseFont'] = Name(fontinfo.basefont)
            self.writeObject(fontdictObject, fontdict)
            return fontdictObject

        # We have a font file to embed - read it in and apply any effects
        t1font = type1font.Type1Font(fontinfo.fontfile)
        if fontinfo.effects:
            t1font = t1font.transform(fontinfo.effects)
        fontdict['BaseFont'] = Name(t1font.prop['FontName'])

        # Font descriptors may be shared between differently encoded
        # Type-1 fonts, so only create a new descriptor if there is no
        # existing descriptor for this font.
        effects = (fontinfo.effects.get('slant', 0.0),
                   fontinfo.effects.get('extend', 1.0))
        fontdesc = self.type1Descriptors.get((fontinfo.fontfile, effects))
        if fontdesc is None:
            fontdesc = self.createType1Descriptor(t1font, fontinfo.fontfile)
            self.type1Descriptors[(fontinfo.fontfile, effects)] = fontdesc
        fontdict['FontDescriptor'] = fontdesc

        self.writeObject(fontdictObject, fontdict)
        return fontdictObject