查找適用于matplotlib的中文字體名稱與實(shí)際文件名對(duì)應(yīng)關(guān)系的方法
更新時(shí)間：2021年01月05日 14:49:25 作者：mighty13
這篇文章主要介紹了查找適用于matplotlib的中文字體名稱與實(shí)際文件名對(duì)應(yīng)關(guān)系的方法，文中通過示例代碼介紹的非常詳細(xì)，對(duì)大家的學(xué)習(xí)或者工作具有一定的參考學(xué)習(xí)價(jià)值，需要的朋友們下面隨著小編來一起學(xué)習(xí)學(xué)習(xí)吧
問題來源
如何在matplotlib中使用中文字體是老問題了，相關(guān)文章非常多。
前幾天有人問我如何知道中文字體名稱和實(shí)際文件的對(duì)應(yīng)關(guān)系時(shí)，才想起來原來沒思考過這個(gè)問題，只能讓他記住字體與文件的對(duì)應(yīng)關(guān)系或者去fonts目錄查看。
難道真的就沒有稍微自動(dòng)化、智能化的查看支持matplotlib的字體名稱與文件的對(duì)應(yīng)關(guān)系的方法？
問題解決步驟
matplotlib與字體相關(guān)的模塊是font_manager，觀察源碼font_manager.py可知：
1. matplotlib支持哪種類型的字體？
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字體。
- ‘ttf': TrueType and OpenType fonts (.ttf, .ttc, .otf)
- ‘a(chǎn)fm': Adobe Font Metrics (.afm)
2. matplotlib如何查找系統(tǒng)字體？
findSystemFonts模塊函數(shù)的作用是查找系統(tǒng)字體。
def findSystemFonts(fontpaths=None, fontext='ttf'): -->list
參數(shù)fontext默認(rèn)值為'ttf'，另外還支持值'afm'。
參數(shù)fontpaths默認(rèn)值是None。
對(duì)于fontpaths有兩種種情況。
fontpaths為None
函數(shù)會(huì)判斷操作系統(tǒng)，如果是Windows，調(diào)用函數(shù)win32InstalledFonts，如果不是Windows，調(diào)用函數(shù)get_fontconfig_fonts。
對(duì)于Windows，函數(shù)win32InstalledFonts到以下路徑查找。
# 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'), ]
對(duì)于非Windows操作系統(tǒng)，函數(shù)get_fontconfig_fonts主要依托fontconfig包（即fc-list命令）查找字體，要求fontconfig>=2.7。
fontpaths不為None
當(dāng)fontpaths不為None時(shí)，通過list_fonts()函數(shù)查找字體。
list_fonts()函數(shù)其實(shí)一個(gè)通用的按路徑、擴(kuò)展名遞歸遍歷文件路徑的函數(shù)。
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]
3.matplotlib如何查找matplotlib自帶字體？
安裝matplotlib時(shí)，會(huì)在site-packages\matplotlib\mpl-data\fonts目錄放置一系列字體。
通過源碼可知fonts目錄下有'ttf', 'afm', 'pdfcorefonts'3個(gè)子目錄。
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')]
4.matplotlib如何生成字體列表？
FontManager類是matplotlib管理字體的重要類，是一個(gè)單例類。FontManager實(shí)例在構(gòu)造后會(huì)創(chuàng)建一個(gè)ttf字體列表和一個(gè)afm字體列表，并會(huì)緩存他們的字體屬性。
下面簡單看看ttflist、afmlist列表的元素的屬性。
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
5.matplotlib的字體屬性緩存在哪里？
前面了解到matplotlib會(huì)緩存字體屬性那在什么位置呢？
根據(jù)源碼可知，字體緩存的所在目錄是.matplotlib，緩存文件是fontlist-v330.json（文件名與版本有關(guān)）。在某些老版本的matplotlib中字體緩存文件名是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'
6. 怎么知道哪些字體是中文字體？
雖然在前面已經(jīng)知道matplotlib會(huì)把系統(tǒng)字體和自帶字體信息存放在ttflist和afmlist中，但是在這些字體信息中也不容易確定哪些是中文字體。
通過資料查找有3種方法：
查看Windows的fonts系統(tǒng)目錄中顯示的字體名稱和文件名屬性。這種方法效率太低！
通過注冊(cè)表項(xiàng)[HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Fonts]查看字體名和字體文件名稱映射。這種方法一些系統(tǒng)字體仍然看不到漢字名稱。
根據(jù)第1種方法想到了去查字體文件的元數(shù)據(jù)，Python相關(guān)的庫有兩個(gè)：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項(xiàng)目地址https://pypi.org/project/TTFQuery/
源碼中有些小問題，源碼不算復(fù)雜，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':
# 輸出字體元數(shù)據(jù)中語言包含有中文的TTF字體
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':
# 輸出所有TTC字體中包含的字體名稱信息
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，它是多個(gè)ttf文件集合，常用字體宋體、微軟雅黑等在Windows10中都是ttc文件，而且奇怪的是很多語言信息不是中文的ttc字體也可以顯示中文。
C:\Windows\Fonts\STHUPO.TTF STHupo 華文琥珀 C:\Windows\Fonts\mingliub.ttc MingLiU-ExtB 細(xì)明體-ExtB C:\Windows\Fonts\mingliub.ttc MingLiU-ExtB 新細(xì)明體-ExtB C:\Windows\Fonts\mingliub.ttc MingLiU-ExtB 細(xì)明體_HKSCS-ExtB C:\Windows\Fonts\simkai.ttf KaiTi 楷體 C:\Windows\Fonts\STXIHEI.TTF STXihei 華文細(xì)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\楷體_GB2312.ttf KaiTi_GB2312 楷體_GB2312 C:\Windows\Fonts\STXINGKA.TTF STXingkai 華文行楷 C:\Windows\Fonts\STCAIYUN.TTF STCaiyun 華文彩云 C:\Windows\Fonts\simsun.ttc SimSun 宋體 C:\Windows\Fonts\simsun.ttc SimSun 新宋體 C:\Windows\Fonts\STKAITI.TTF STKaiti 華文楷體 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\華文中宋.ttf STZhongsong 華文中宋 C:\Windows\Fonts\FZYTK.TTF FZYaoTi 方正姚體 C:\Users\Administrator\AppData\Local\Microsoft\Windows\Fonts\方正卡通簡體.ttf FZKaTong-M19S 方正卡通簡體 C:\Windows\Fonts\simhei.ttf SimHei 黑體 C:\Windows\Fonts\方正粗黑宋簡體.ttf FZCuHeiSongS-B-GB 方正粗黑宋簡體 C:\Windows\Fonts\Deng.ttf DengXian 等線 C:\Users\Administrator\AppData\Local\Microsoft\Windows\Fonts\FZXBSJW.TTF FZXiaoBiaoSong-B05S 方正小標(biāo)宋簡體 C:\Windows\Fonts\Dengl.ttf DengXian 等線 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 微軟雅黑 C:\Windows\Fonts\msyh.ttc Microsoft YaHei Microsoft Yahei UI C:\Windows\Fonts\STFANGSO.TTF STFangsong 華文仿宋 C:\Windows\Fonts\simfang.ttf FangSong 仿宋 C:\Windows\Fonts\SIMLI.TTF LiSu 隸書 C:\Windows\Fonts\SIMYOU.TTF YouYuan 幼圓 C:\Windows\Fonts\STLITI.TTF STLiti 華文隸書 C:\Windows\Fonts\Dengb.ttf DengXian 等線 Bold C:\Windows\Fonts\msyhl.ttc Microsoft YaHei 微軟雅黑 Light C:\Windows\Fonts\msyhl.ttc Microsoft YaHei Microsoft YaHei UI Light C:\Windows\Fonts\STSONG.TTF STSong 華文宋體 C:\Windows\Fonts\STXINWEI.TTF STXinwei 華文新魏 C:\Windows\Fonts\FZSTK.TTF FZShuTi 方正舒體
參考
https://matplotlib.org/api/font_manager_api.html
http://ttfquery.sourceforge.net/
https://fonttools.readthedocs.io/en/latest/ttLib/index.html
到此這篇關(guān)于查找適用于matplotlib的中文字體名稱與實(shí)際文件名對(duì)應(yīng)關(guān)系的方法的文章就介紹到這了,更多相關(guān)matplotlib中文字體名稱與實(shí)際文件名對(duì)應(yīng)內(nèi)容請(qǐng)搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家！
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