如何在matplotlib中使用中文字体是老问题了,相关文章非常多。
前几天有人问我如何知道中文字体名称和实际文件的对应关系时,才想起来原来没思考过这个问题,只能让他记住字体与文件的对应关系或者去fonts目录查看。
难道真的就没有稍微自动化、智能化的查看支持matplotlib的字体名称与文件的对应关系的方法?
matplotlib与字体相关的模块是font_manager,观察源码font_manager.py可知:
def get_fontext_synonyms(fontext): """ Return a list of file extensions extensions that are synonyms for the given file extension *fileext*. """ return { 'afm': ['afm'], 'otf': ['otf', 'ttc', 'ttf'], 'ttc': ['otf', 'ttc', 'ttf'], 'ttf': ['otf', 'ttc', 'ttf'], }[fontext]
由此可知matplotlib只支持ttf和afm字体。
findSystemFonts模块函数的作用是查找系统字体。
def findSystemFonts(fontpaths=None, fontext='ttf'): -->list
参数fontext默认值为'ttf',另外还支持值'afm'。
参数fontpaths默认值是None。
对于fontpaths有两种种情况。
fontpaths为None
函数会判断操作系统,如果是Windows,调用函数win32InstalledFonts,如果不是Windows,调用函数get_fontconfig_fonts。
对于Windows,函数win32InstalledFonts到以下路径查找。
# OS Font paths MSFolders = \ r'Software\Microsoft\Windows\CurrentVersion\Explorer\Shell Folders' MSFontDirectories = [ r'SOFTWARE\Microsoft\Windows NT\CurrentVersion\Fonts', r'SOFTWARE\Microsoft\Windows\CurrentVersion\Fonts'] MSUserFontDirectories = [ str(Path.home() / 'AppData/Local/Microsoft/Windows/Fonts'), str(Path.home() / 'AppData/Roaming/Microsoft/Windows/Fonts'), ]
对于非Windows操作系统,函数get_fontconfig_fonts主要依托fontconfig包(即fc-list命令)查找字体,要求fontconfig>=2.7。
fontpaths不为None
当fontpaths不为None时,通过list_fonts()函数查找字体。
list_fonts()函数其实一个通用的按路径、扩展名递归遍历文件路径的函数。
def list_fonts(directory, extensions): """ Return a list of all fonts matching any of the extensions, found recursively under the directory. """ extensions = ["." + ext for ext in extensions] return [os.path.join(dirpath, filename) # os.walk ignores access errors, unlike Path.glob. for dirpath, _, filenames in os.walk(directory) for filename in filenames if Path(filename).suffix.lower() in extensions]
安装matplotlib时,会在site-packages\matplotlib\mpl-data\fonts目录放置一系列字体。
通过源码可知fonts目录下有'ttf', 'afm', 'pdfcorefonts'3个子目录。
paths = [cbook._get_data_path('fonts', subdir) for subdir in ['ttf', 'afm', 'pdfcorefonts']]
In [1]: import matplotlib.cbook as cbook In [2]: paths = [cbook._get_data_path('fonts', subdir) for subdir in ['ttf', 'afm', 'pdfcorefonts']] In [3]: paths Out[4]: [WindowsPath('c:/users/administrator/appdata/local/programs/python/python37/lib/site-packages/matplotlib/mpl-data/fonts/ttf'), WindowsPath('c:/users/administrator/appdata/local/programs/python/python37/lib/site-packages/matplotlib/mpl-data/fonts/afm'), WindowsPath('c:/users/administrator/appdata/local/programs/python/python37/lib/site-packages/matplotlib/mpl-data/fonts/pdfcorefonts')]
FontManager类是matplotlib管理字体的重要类,是一个单例类。FontManager实例在构造后会创建一个ttf字体列表和一个afm字体列表,并会缓存他们的字体属性。
下面简单看看ttflist、afmlist列表的元素的属性。
In [1]: import matplotlib.font_manager as mf In [2]: ttflist=mf.FontManager().ttflist In [3]: vars(ttflist[0]) Out[3]: {'fname': 'c:\\users\\administrator\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', 'name': 'DejaVu Sans Mono', 'style': 'oblique', 'variant': 'normal', 'weight': 700, 'stretch': 'normal', 'size': 'scalable'} In [4]: len(ttflist) Out[4]: 252 In [5]: afmlist=mf.FontManager().afmlist In [6]: vars(afmlist[0]) Out[6]: {'fname': 'c:\\users\\administrator\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\afm\\pagko8a.afm', 'name': 'ITC Avant Garde Gothic', 'style': 'italic', 'variant': 'normal', 'weight': 'book', 'stretch': 'normal', 'size': 'scalable'} In [7]: len(afmlist) Out[7]: 60
前面了解到matplotlib会缓存字体属性那在什么位置呢?
根据源码可知,字体缓存的所在目录是.matplotlib,缓存文件是fontlist-v330.json(文件名与版本有关)。在某些老版本的matplotlib中字体缓存文件名是fontList.cache。
_fmcache = os.path.join( mpl.get_cachedir(), 'fontlist-v{}.json'.format(FontManager.__version__))
In [1]: import matplotlib In [2]: matplotlib.get_cachedir() Out[2]: 'C:\\Users\\Administrator\\.matplotlib'
虽然在前面已经知道matplotlib会把系统字体和自带字体信息存放在ttflist和afmlist中,但是在这些字体信息中也不容易确定哪些是中文字体。
通过资料查找有3种方法:
查看Windows的fonts系统目录中显示的字体名称和文件名属性。这种方法效率太低!
通过注册表项[HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Fonts]查看字体名和字体文件名称映射。这种方法一些系统字体仍然看不到汉字名称。
根据第1种方法想到了去查字体文件的元数据,Python相关的库有两个:fonttools,作者是老爹Guido的弟弟Just van Rossum;TTFQuery,基于fonttools的TTF包,只能查看TTF文件而且最后更新日期是2012年。
TTFQery项目地址https://pypi.org/project/TTFQuery/
源码中有些小问题,源码不算复杂,直接修改。
import sys from fontTools.ttLib import TTFont from fontTools.ttLib.ttCollection import TTCollection UNICODE_ENCODINGS = {0: 'Unicode 1.0 semantics', 1: 'Unicode 1.1 semantics', 2: 'Unicode 1.1 semantics', 3: 'Unicode 2.0 and onwards semantics, Unicode BMP only (cmap subtable formats 0, 4, 6).', 4: 'Unicode 2.0 and onwards semantics, Unicode full repertoire (cmap subtable formats 0, 4, 6, 10, 12).', 5: 'Unicode Variation Sequences (cmap subtable format 14).', 6: 'Unicode Variation Sequences (cmap subtable format 14).'} WINDOWS_ENCODINGS = {0: 'Symbol', 1: 'Unicode BMP(UCS-2)', 2: 'ShiftJIS', 3: 'PRC', 4: 'Big5', 5: 'Wansung', 6: 'Johab', 7: 'Reserved', 8: 'Reserved', 9: 'Reserved', 10: 'Unicode UCS-4'} WINDOWS_LANGUAGES = {1025: 'Arabic/Saudi Arabia', 1026: 'Bulgarian/Bulgaria', 1027: 'Catalan/Catalan', 1028: 'Chinese/Taiwan', 1029: 'Czech/Czech Republic', 1030: 'Danish/Denmark', 1031: 'German/Germany', 1032: 'Greek/Greece', 1033: 'English/United States', 1034: 'Spanish (Traditional Sort)/Spain', 1035: 'Finnish/Finland', 1036: 'French/France', 1037: 'Hebrew/Israel', 1038: 'Hungarian/Hungary', 1039: 'Icelandic/Iceland', 1040: 'Italian/Italy', 1041: 'Japanese/Japan', 1042: 'Korean/Korea', 1043: 'Dutch/Netherlands', 1044: 'Norwegian (Bokmal)/Norway', 1045: 'Polish/Poland', 1046: 'Portuguese/Brazil', 1047: 'Romansh/Switzerland', 1048: 'Romanian/Romania', 1049: 'Russian/Russia', 1050: 'Croatian/Croatia', 1051: 'Slovak/Slovakia', 1052: 'Albanian/Albania', 1053: 'Swedish/Sweden', 1054: 'Thai/Thailand', 1055: 'Turkish/Turkey', 1056: 'Urdu/Islamic Republic of Pakistan', 1057: 'Indonesian/Indonesia', 1058: 'Ukrainian/Ukraine', 1059: 'Belarusian/Belarus', 1060: 'Slovenian/Slovenia', 1061: 'Estonian/Estonia', 1062: 'Latvian/Latvia', 1063: 'Lithuanian/Lithuania', 1064: 'Tajik (Cyrillic)/Tajikistan', 1066: 'Vietnamese/Vietnam', 1067: 'Armenian/Armenia', 1068: 'Azeri (Latin)/Azerbaijan', 1069: 'Basque/Basque', 1070: 'Upper Sorbian/Germany', 1071: 'Macedonian (FYROM)/Former Yugoslav Republic of Macedonia', 1074: 'Setswana/South Africa', 1076: 'isiXhosa/South Africa', 1077: 'isiZulu/South Africa', 1078: 'Afrikaans/South Africa', 1079: 'Georgian/Georgia', 1080: 'Faroese/Faroe Islands', 1081: 'Hindi/India', 1082: 'Maltese/Malta', 1083: 'Sami (Northern)/Norway', 1086: 'Malay/Malaysia', 1087: 'Kazakh/Kazakhstan', 1088: 'Kyrgyz/Kyrgyzstan', 1089: 'Kiswahili/Kenya', 1090: 'Turkmen/Turkmenistan', 1091: 'Uzbek (Latin)/Uzbekistan', 1092: 'Tatar/Russia', 1093: 'Bengali/India', 1094: 'Punjabi/India', 1095: 'Gujarati/India', 1096: 'Odia (formerly Oriya)/India', 1097: 'Tamil/India', 1098: 'Telugu/India', 1099: 'Kannada/India', 1100: 'Malayalam/India', 1101: 'Assamese/India', 1102: 'Marathi/India', 1103: 'Sanskrit/India', 1104: 'Mongolian (Cyrillic)/Mongolia', 1105: 'Tibetan/PRC', 1106: 'Welsh/United Kingdom', 1107: 'Khmer/Cambodia', 1108: 'Lao/Lao P.D.R.', 1110: 'Galician/Galician', 1111: 'Konkani/India', 1114: 'Syriac/Syria', 1115: 'Sinhala/Sri Lanka', 1117: 'Inuktitut/Canada', 1118: 'Amharic/Ethiopia', 1121: 'Nepali/Nepal', 1122: 'Frisian/Netherlands', 1123: 'Pashto/Afghanistan', 1124: 'Filipino/Philippines', 1125: 'Divehi/Maldives', 1128: 'Hausa (Latin)/Nigeria', 1130: 'Yoruba/Nigeria', 1131: 'Quechua/Bolivia', 1132: 'Sesotho sa Leboa/South Africa', 1133: 'Bashkir/Russia', 1134: 'Luxembourgish/Luxembourg', 1135: 'Greenlandic/Greenland', 1136: 'Igbo/Nigeria', 1144: 'Yi/PRC', 1146: 'Mapudungun/Chile', 1148: 'Mohawk/Mohawk', 1150: 'Breton/France', 1152: 'Uighur/PRC', 1153: 'Maori/New Zealand', 1154: 'Occitan/France', 1155: 'Corsican/France', 1156: 'Alsatian/France', 1157: 'Yakut/Russia', 1158: "K'iche/Guatemala", 1159: 'Kinyarwanda/Rwanda', 1160: 'Wolof/Senegal', 1164: 'Dari/Afghanistan', 2049: 'Arabic/Iraq', 2052: "Chinese/People's Republic of China", 2055: 'German/Switzerland', 2057: 'English/United Kingdom', 2058: 'Spanish/Mexico', 2060: 'French/Belgium', 2064: 'Italian/Switzerland', 2067: 'Dutch/Belgium', 2068: 'Norwegian (Nynorsk)/Norway', 2070: 'Portuguese/Portugal', 2074: 'Serbian (Latin)/Serbia', 2077: 'Sweden/Finland', 2092: 'Azeri (Cyrillic)/Azerbaijan', 2094: 'Lower Sorbian/Germany', 2107: 'Sami (Northern)/Sweden', 2108: 'Irish/Ireland', 2110: 'Malay/Brunei Darussalam', 2115: 'Uzbek (Cyrillic)/Uzbekistan', 2117: 'Bengali/Bangladesh', 2128: "Mongolian (Traditional)/People's Republic of China", 2141: 'Inuktitut (Latin)/Canada', 2143: 'Tamazight (Latin)/Algeria', 2155: 'Quechua/Ecuador', 3073: 'Arabic/Egypt', 3076: 'Chinese/Hong Kong S.A.R.', 3079: 'German/Austria', 3081: 'English/Australia', 3082: 'Spanish (Modern Sort)/Spain', 3084: 'French/Canada', 3098: 'Serbian (Cyrillic)/Serbia', 3131: 'Sami (Northern)/Finland', 3179: 'Quechua/Peru', 4097: 'Arabic/Libya', 4100: 'Chinese/Singapore', 4103: 'German/Luxembourg', 4105: 'English/Canada', 4106: 'Spanish/Guatemala', 4108: 'French/Switzerland', 4122: 'Croatian (Latin)/Bosnia and Herzegovina', 4155: 'Sami (Lule)/Norway', 5121: 'Arabic/Algeria', 5124: 'Chinese/Macao S.A.R.', 5127: 'German/Liechtenstein', 5129: 'English/New Zealand', 5130: 'Spanish/Costa Rica', 5132: 'French/Luxembourg', 5146: 'Bosnian (Latin)/Bosnia and Herzegovina', 5179: 'Sami (Lule)/Sweden', 6145: 'Arabic/Morocco', 6153: 'English/Ireland', 6154: 'Spanish/Panama', 6156: 'French/Principality of Monaco', 6170: 'Serbian (Latin)/Bosnia and Herzegovina', 6203: 'Sami (Southern)/Norway', 7169: 'Arabic/Tunisia', 7177: 'English/South Africa', 7178: 'Spanish/Dominican Republic', 7194: 'Serbian (Cyrillic)/Bosnia and Herzegovina', 7227: 'Sami (Southern)/Sweden', 8193: 'Arabic/Oman', 8201: 'English/Jamaica', 8202: 'Spanish/Venezuela', 8218: 'Bosnian (Cyrillic)/Bosnia and Herzegovina', 8251: 'Sami (Skolt)/Finland', 9217: 'Arabic/Yemen', 9225: 'English/Caribbean', 9226: 'Spanish/Colombia', 9275: 'Sami (Inari)/Finland', 10241: 'Arabic/Syria', 10249: 'English/Belize', 10250: 'Spanish/Peru', 11265: 'Arabic/Jordan', 11273: 'English/Trinidad and Tobago', 11274: 'Spanish/Argentina', 12289: 'Arabic/Lebanon', 12297: 'English/Zimbabwe', 12298: 'Spanish/Ecuador', 13313: 'Arabic/Kuwait', 13321: 'English/Republic of the Philippines', 13322: 'Spanish/Chile', 14337: 'Arabic/U.A.E.', 14346: 'Spanish/Uruguay', 15361: 'Arabic/Bahrain', 15370: 'Spanish/Paraguay', 16385: 'Arabic/Qatar', 16393: 'English/India', 16394: 'Spanish/Bolivia', 17417: 'English/Malaysia', 17418: 'Spanish/El Salvador', 18441: 'English/Singapore', 18442: 'Spanish/Honduras', 19466: 'Spanish/Nicaragua', 20490: 'Spanish/Puerto Rico', 21514: 'Spanish/United States'} MACINTOSH_ENCODINGS = {0: 'Roman', 1: 'Japanese', 2: 'Chinese', 3: 'Korean', 4: 'Arabic', 5: 'Hebrew', 6: 'Greek', 7: 'Russian', 8: 'RSymbol', 9: 'Devanagari', 10: 'Gurmukhi', 11: 'Gujarati', 12: 'Oriya', 13: 'Bengali', 14: 'Tamil', 15: 'Telugu', 16: 'Kannada', 17: 'Malayalam', 18: 'Sinhalese', 19: 'Burmese', 20: 'Khmer', 21: 'Thai', 22: 'Laotian', 23: 'Georgian', 24: 'Armenian', 25: 'Chinese', 26: 'Tibetan', 27: 'Mongolian', 28: 'Geez', 29: 'Slavic', 30: 'Vietnamese', 31: 'Sindhi', 32: 'Uninterpreted'} MACINTOSH_LANGUAGES = {0: 'English', 1: 'French', 2: 'German', 3: 'Italian', 4: 'Dutch', 5: 'Swedish', 6: 'Spanish', 7: 'Danish', 8: 'Portuguese', 9: 'Norwegian', 10: 'Hebrew', 11: 'Japanese', 12: 'Arabic', 13: 'Finnish', 14: 'Inuktitut', 15: 'Icelandic', 16: 'Maltese', 17: 'Turkish', 18: 'Croatian', 19: 'Chinese (Traditional)', 20: 'Urdu', 21: 'Hindi', 22: 'Thai', 23: 'Korean', 24: 'Lithuanian', 25: 'Polish', 26: 'Hungarian', 27: 'Estonian', 28: 'Latvian', 29: 'Sami', 30: 'Faroese', 31: 'Farsi/Persian', 32: 'Russian', 33: 'Chinese (Simplified)', 34: 'Flemish', 35: 'Irish Gaelic', 36: 'Albanian', 37: 'Romanian', 38: 'Czech', 39: 'Slovak', 40: 'Slovenian', 41: 'Yiddish', 42: 'Serbian', 43: 'Macedonian', 44: 'Bulgarian', 45: 'Ukrainian', 46: 'Byelorussian', 47: 'Uzbek', 48: 'Kazakh', 49: 'Azerbaijani (Cyrillic script)', 50: 'Azerbaijani (Arabic script)', 51: 'Armenian', 52: 'Georgian', 53: 'Moldavian', 54: 'Kirghiz', 55: 'Tajiki', 56: 'Turkmen', 57: 'Mongolian (Mongolian script)', 58: 'Mongolian (Cyrillic script)', 59: 'Pashto', 60: 'Kurdish', 61: 'Kashmiri', 62: 'Sindhi', 63: 'Tibetan', 64: 'Nepali', 65: 'Sanskrit', 66: 'Marathi', 67: 'Bengali', 68: 'Assamese', 69: 'Gujarati', 70: 'Punjabi', 71: 'Oriya', 72: 'Malayalam', 73: 'Kannada', 74: 'Tamil', 75: 'Telugu', 76: 'Sinhalese', 77: 'Burmese', 78: 'Khmer', 79: 'Lao', 80: 'Vietnamese', 81: 'Indonesian', 82: 'Tagalong', 83: 'Malay (Roman script)', 84: 'Malay (Arabic script)', 85: 'Amharic', 86: 'Tigrinya', 87: 'Galla', 88: 'Somali', 89: 'Swahili', 90: 'Kinyarwanda/Ruanda', 91: 'Rundi', 92: 'Nyanja/Chewa', 93: 'Malagasy', 94: 'Esperanto', 128: 'Welsh', 129: 'Basque', 130: 'Catalan', 131: 'Latin', 132: 'Quenchua', 133: 'Guarani', 134: 'Aymara', 135: 'Tatar', 136: 'Uighur', 137: 'Dzongkha', 138: 'Javanese (Roman script)', 139: 'Sundanese (Roman script)', 140: 'Galician', 141: 'Afrikaans', 142: 'Breton', 144: 'Scottish Gaelic', 145: 'Manx Gaelic', 146: 'Irish Gaelic (with dot above)', 147: 'Tongan', 148: 'Greek (polytonic)', 149: 'Greenlandic', 150: 'Azerbaijani (Roman script)'} ISO_IDS = { 0: '7-bit ASCII', 1: 'ISO 10646', 2: 'ISO 8859-1' } CUSTOMS = {} PLATFORMS = {0: {'name': 'Unicode', 'encodings': UNICODE_ENCODINGS, 'languages': UNICODE_ENCODINGS}, 1: {'name': 'Macintosh', 'encodings': MACINTOSH_ENCODINGS, 'languages': MACINTOSH_LANGUAGES}, 2: {'name': 'ISO [deprecated]', 'encodings': ISO_IDS, 'languages': ISO_IDS}, 3: {'name': 'Windows', 'encodings': WINDOWS_ENCODINGS, 'languages': WINDOWS_LANGUAGES}, 4: {'name': 'Custom', 'encodings': CUSTOMS, 'languages': CUSTOMS}} NAME_TABLE = {0: 'Copyright Notice', 1: 'Font Family', 2: 'SubFamily', 3: 'Unique Font Identifier', 4: 'Full Font Name', 5: 'Version', 6: 'PostScript Name', 7: 'Trademark', 8: 'Manufacturer Name', 9: 'Designer', 10: 'Description', 11: 'Vendor URL', 12: 'Designer URL', 13: 'License Description', 14: 'License Info URL', 15: 'Reserved', 16: 'Typographic Family', 17: 'Typographic SubFamily', 18: 'Compatible Full', 19: 'Sample Text', 20: 'PostScript CID findfont name', 21: 'WWS Family Name', 22: 'WWS SubFamily Name', 23: 'Light Background Pallete', 24: 'Dark Background Pallete', 25: 'Variations PostScript Name Prefix'} ENCODINGS = { "Roman": 'latin_1' } def parse_meta(font): """The main meta parsing function. Thanks to Fonttools library.""" data = {} for nti in font['name'].names: key = nti.nameID platform_data = PLATFORMS[nti.platformID] if platform_data['name'] == 'Custom': encoding = {'id': 0, 'value': 'Custom'} language = {'id': 0, 'value': 'Custom'} else: encoding = {'id': nti.platEncID, 'value': platform_data['encodings'].get(nti.platEncID, "Unknown")} language = {'id': nti.langID, 'value': platform_data['languages'].get(nti.langID, "Unknown")} name_str = nti.toStr() field = NAME_TABLE.get(nti.nameID, False) if not field: if 26 <= nti.nameID <= 255: field = 'Reserved [{}]'.format(nti.nameID) elif 256 <= nti.nameID: field = 'Font Specific[{}]'.format(nti.nameID) data[key] = {"field": field, "value": name_str, "encoding": encoding, "language": language } return data def get_font_name(data, language=None): language_name = data.get(4).get('language').get('value') font_full_name = data.get(4).get('value') if language is None: return font_full_name else: if language in language_name: return font_full_name if __name__ == '__main__': from pathlib import Path import matplotlib.font_manager as fm ttflist=fm.FontManager().ttflist for f in ttflist: if Path(f.fname).suffix.lower()=='.ttf': # 输出字体元数据中语言包含有中文的TTF字体 data = parse_meta(TTFont(f.fname)) out_ttf = get_font_name(data,'Chinese') if out_ttf: print(f.fname,f.name,out_ttf) elif Path(f.fname).suffix.lower()=='.ttc': # 输出所有TTC字体中包含的字体名称信息 ttc = TTCollection(f.fname) for ttf in ttc: ttc_data = parse_meta(ttf) out_ttc = get_font_name(ttc_data,'Chinese') if out_ttc: print(f.fname,f.name,out_ttc)
ttc文件很特殊,它是多个ttf文件集合,常用字体宋体、微软雅黑等在Windows10中都是ttc文件,而且奇怪的是很多语言信息不是中文的ttc字体也可以显示中文。
C:\Windows\Fonts\STHUPO.TTF STHupo 华文琥珀 C:\Windows\Fonts\mingliub.ttc MingLiU-ExtB 細明體-ExtB C:\Windows\Fonts\mingliub.ttc MingLiU-ExtB 新細明體-ExtB C:\Windows\Fonts\mingliub.ttc MingLiU-ExtB 細明體_HKSCS-ExtB C:\Windows\Fonts\simkai.ttf KaiTi 楷体 C:\Windows\Fonts\STXIHEI.TTF STXihei 华文细黑 C:\Users\Administrator\AppData\Local\Microsoft\Windows\Fonts\仿宋_GB2312.ttf FangSong_GB2312 仿宋_GB2312 C:\Users\Administrator\AppData\Local\Microsoft\Windows\Fonts\楷体_GB2312.ttf KaiTi_GB2312 楷体_GB2312 C:\Windows\Fonts\STXINGKA.TTF STXingkai 华文行楷 C:\Windows\Fonts\STCAIYUN.TTF STCaiyun 华文彩云 C:\Windows\Fonts\simsun.ttc SimSun 宋体 C:\Windows\Fonts\simsun.ttc SimSun 新宋体 C:\Windows\Fonts\STKAITI.TTF STKaiti 华文楷体 C:\Windows\Fonts\msjhl.ttc Microsoft JhengHei 微軟正黑體 Light C:\Windows\Fonts\msjhl.ttc Microsoft JhengHei Microsoft JhengHei UI Light C:\Users\Administrator\AppData\Local\Microsoft\Windows\Fonts\华文中宋.ttf STZhongsong 华文中宋 C:\Windows\Fonts\FZYTK.TTF FZYaoTi 方正姚体 C:\Users\Administrator\AppData\Local\Microsoft\Windows\Fonts\方正卡通简体.ttf FZKaTong-M19S 方正卡通简体 C:\Windows\Fonts\simhei.ttf SimHei 黑体 C:\Windows\Fonts\方正粗黑宋简体.ttf FZCuHeiSongS-B-GB 方正粗黑宋简体 C:\Windows\Fonts\Deng.ttf DengXian 等线 C:\Users\Administrator\AppData\Local\Microsoft\Windows\Fonts\FZXBSJW.TTF FZXiaoBiaoSong-B05S 方正小标宋简体 C:\Windows\Fonts\Dengl.ttf DengXian 等线 Light C:\Windows\Fonts\msjh.ttc Microsoft JhengHei 微軟正黑體 C:\Windows\Fonts\msjh.ttc Microsoft JhengHei Microsoft JhengHei UI C:\Windows\Fonts\msyh.ttc Microsoft YaHei 微软雅黑 C:\Windows\Fonts\msyh.ttc Microsoft YaHei Microsoft Yahei UI C:\Windows\Fonts\STFANGSO.TTF STFangsong 华文仿宋 C:\Windows\Fonts\simfang.ttf FangSong 仿宋 C:\Windows\Fonts\SIMLI.TTF LiSu 隶书 C:\Windows\Fonts\SIMYOU.TTF YouYuan 幼圆 C:\Windows\Fonts\STLITI.TTF STLiti 华文隶书 C:\Windows\Fonts\Dengb.ttf DengXian 等线 Bold C:\Windows\Fonts\msyhl.ttc Microsoft YaHei 微软雅黑 Light C:\Windows\Fonts\msyhl.ttc Microsoft YaHei Microsoft YaHei UI Light C:\Windows\Fonts\STSONG.TTF STSong 华文宋体 C:\Windows\Fonts\STXINWEI.TTF STXinwei 华文新魏 C:\Windows\Fonts\FZSTK.TTF FZShuTi 方正舒体
https://matplotlib.org/api/font_manager_api.html
http://ttfquery.sourceforge.net/
https://fonttools.readthedocs.io/en/latest/ttLib/index.html
到此这篇关于查找适用于matplotlib的中文字体名称与实际文件名对应关系的方法的文章就介绍到这了,更多相关matplotlib中文字体名称与实际文件名对应内容请搜索小牛知识库以前的文章或继续浏览下面的相关文章希望大家以后多多支持小牛知识库!
问题内容: 对于Java开发人员来说,这必须是一个非常基本的问题,但是在给定 类名* 的情况下找到合适的 jar文件 的最佳方法是什么? * 例如,给定“ com.ibm.websphere.security.auth.WSSubject ”,您如何跟踪适当的jar文件?(“ google”不是我要找的答案!) 在Java文档不给jar文件的任何暗示,明显的jar文件的名称本身不提供线索。 在Ja
问题内容: 我一直在寻找一个命令,该命令将从当前目录返回文件名中包含字符串的文件。我已经看到和命令可以找到以某些内容开头或结尾的文件。 如何返回文件名中包含字符串的文件列表? 例如,if 是当前目录中的文件。 如何返回此文件和其他包含字符串的文件?使用诸如 问题答案: 用途: 它将在当前目录中找到所有包含“字符串”的文件(如果要递归,则删除),并将其打印在屏幕上。 如果要避免文件包含“:”,则可以
我在intellij中有一个Java/Maven项目,文件结构如下: 下面一行给我错误“包名'test.java.princ'不对应文件路径'princ'” 事实上,它对我项目中的每个文件都这样做。 我所尝试的: 使用maven重建 使用intellij或mvn命令,构建工作正常。
问题内容: 我在Linux机器上有一个项目,其中包含带有在Windows中被认为是非法/保留的字符的文件(http://msdn.microsoft.com/zh- cn/library/aa365247%28VS.85%29.aspx )。该项目在多个文件夹中有10,000多个文件,我将确定这些文件的路径。 我可以为每个非法/保留字符,但是有一种更简单的方法来查找包含以下内容的所有文件 确定后,
问题内容: 是否可以让您的用户下载其他名称的文件? 例如,有一个名为“ 4324ffsd34.jpg”的文件。我希望人们通过download.php以不同的名称(例如“ filetodownload.jpg”)下载它,而不重命名原始文件。 问题答案: 当然,请使用Content-disposition 标头 如果您希望提供默认文件名,而不是自动下载,那么这似乎可行。
我是openNlp的新手。我开始训练一个模型(TokenNameFinderTrainer),以识别名称。到目前为止还不错,但现在我想识别组织(例如“Microsoft”)。 我的问题是:opennlp默认识别哪些类型的实体?(如果有的话...) 我看到它可以处理