本文整理汇总了Python中matplotlib.dviread.Encoding方法的典型用法代码示例。如果您正苦于以下问题:Python dviread.Encoding方法的具体用法?Python dviread.Encoding怎么用?Python dviread.Encoding使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.dviread
的用法示例。
在下文中一共展示了dviread.Encoding方法的9个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _write_afm_font
# 需要导入模块: from matplotlib import dviread [as 别名]
# 或者: from matplotlib.dviread import Encoding [as 别名]
def _write_afm_font(self, filename):
with open(filename, 'rb') as fh:
font = AFM(fh)
fontname = font.get_fontname()
fontdict = { 'Type': Name('Font'),
'Subtype': Name('Type1'),
'BaseFont': Name(fontname),
'Encoding': Name('WinAnsiEncoding') }
fontdictObject = self.reserveObject('font dictionary')
self.writeObject(fontdictObject, fontdict)
return fontdictObject
示例2: _get_adobe_standard_encoding
# 需要导入模块: from matplotlib import dviread [as 别名]
# 或者: from matplotlib.dviread import Encoding [as 别名]
def _get_adobe_standard_encoding(self):
enc_name = dviread.find_tex_file('8a.enc')
enc = dviread.Encoding(enc_name)
return dict([(c, i) for i, c in enumerate(enc.encoding)])
示例3: _write_afm_font
# 需要导入模块: from matplotlib import dviread [as 别名]
# 或者: from matplotlib.dviread import Encoding [as 别名]
def _write_afm_font(self, filename):
with open(filename, 'rb') as fh:
font = AFM(fh)
fontname = font.get_fontname()
fontdict = {'Type': Name('Font'),
'Subtype': Name('Type1'),
'BaseFont': Name(fontname),
'Encoding': Name('WinAnsiEncoding')}
fontdictObject = self.reserveObject('font dictionary')
self.writeObject(fontdictObject, fontdict)
return fontdictObject
示例4: _get_adobe_standard_encoding
# 需要导入模块: from matplotlib import dviread [as 别名]
# 或者: from matplotlib.dviread import Encoding [as 别名]
def _get_adobe_standard_encoding():
enc_name = dviread.find_tex_file('8a.enc')
enc = dviread.Encoding(enc_name)
return {c: i for i, c in enumerate(enc.encoding)}
示例5: _get_ps_font_and_encoding
# 需要导入模块: from matplotlib import dviread [as 别名]
# 或者: from matplotlib.dviread import Encoding [as 别名]
def _get_ps_font_and_encoding(texname):
tex_font_map = dviread.PsfontsMap(dviread.find_tex_file('pdftex.map'))
font_bunch = tex_font_map[texname]
if font_bunch.filename is None:
raise ValueError(
("No usable font file found for %s (%s). "
"The font may lack a Type-1 version.")
% (font_bunch.psname, texname))
font = get_font(font_bunch.filename)
for charmap_name, charmap_code in [("ADOBE_CUSTOM", 1094992451),
("ADOBE_STANDARD", 1094995778)]:
try:
font.select_charmap(charmap_code)
except (ValueError, RuntimeError):
pass
else:
break
else:
charmap_name = ""
warnings.warn("No supported encoding in font (%s)." %
font_bunch.filename)
if charmap_name == "ADOBE_STANDARD" and font_bunch.encoding:
enc0 = dviread.Encoding(font_bunch.encoding)
enc = {i: _get_adobe_standard_encoding().get(c, None)
for i, c in enumerate(enc0.encoding)}
else:
enc = {}
return font, enc
示例6: _get_adobe_standard_encoding
# 需要导入模块: from matplotlib import dviread [as 别名]
# 或者: from matplotlib.dviread import Encoding [as 别名]
def _get_adobe_standard_encoding(self):
enc_name = dviread.find_tex_file('8a.enc')
enc = dviread.Encoding(enc_name)
return {c: i for i, c in enumerate(enc.encoding)}
示例7: embedTeXFont
# 需要导入模块: from matplotlib import dviread [as 别名]
# 或者: from matplotlib.dviread import Encoding [as 别名]
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
示例8: _embedTeXFont
# 需要导入模块: from matplotlib import dviread [as 别名]
# 或者: from matplotlib.dviread import Encoding [as 别名]
def _embedTeXFont(self, fontinfo):
_log.debug('Embedding TeX font %s - fontinfo=%s',
fontinfo.dvifont.texname, fontinfo.__dict__)
# 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:
_log.warning(
"Because of TeX configuration (pdftex.map, see updmap option "
"pdftexDownloadBase14) the font %s 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.",
fontinfo.basefont)
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
示例9: embedTeXFont
# 需要导入模块: from matplotlib import dviread [as 别名]
# 或者: from matplotlib.dviread import Encoding [as 别名]
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