Python findfont:找不到字体系列['；Tahoma'；]。回到DejaVu Sans

我对

matplotlib

库非常陌生，现在我尝试用这段代码生成条形图并保存为png

import matplotlib as mpl
import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np

site = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp', 'จาวาสคลิป')
usage = [10,8,6,4,2,1, 2]

mpl.use('Agg')
mpl.font_manager
mpl.rc('font',family='Tahoma')
y_pos = np.arange(len(site))
plt.bar(y_pos, usage, align='center')
plt.xticks(y_pos, site)
plt.ylabel('Percent')
plt.title('Test')
plt.tight_layout()
plt.savefig('test.png')
plt.cla()

上面的代码在我的macbook上运行时正常工作，但
当我在服务器上运行它（Ubuntu18.04.4LTS）时，它会出现如下错误

findfont: Font family ['Tahoma'] not found. Falling back to DejaVu Sans.
/home/pplus/.local/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 3626 missing from current font.
  font.set_text(s, 0.0, flags=flags)
/home/pplus/.local/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 3623 missing from current font.
  font.set_text(s, 0.0, flags=flags)
/home/pplus/.local/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 3633 missing from current font.
  font.set_text(s, 0.0, flags=flags)
/home/pplus/.local/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 3604 missing from current font.
  font.set_text(s, 0.0, flags=flags)
/home/pplus/.local/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 3637 missing from current font.
  font.set_text(s, 0.0, flags=flags)
/home/pplus/.local/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 3609 missing from current font.
  font.set_text(s, 0.0, flags=flags)
/home/pplus/.local/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 3592 missing from current font.
  font.set_text(s, 0.0, flags=flags)
/home/pplus/.local/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 3607 missing from current font.
  font.set_text(s, 0.0, flags=flags)
/home/pplus/.local/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 3619 missing from current font.
  font.set_text(s, 0.0, flags=flags)
/home/pplus/.local/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 3660 missing from current font.
  font.set_text(s, 0.0, flags=flags)
findfont: Font family ['Tahoma'] not found. Falling back to DejaVu Sans.

我试图用这个命令来解决这个问题，但它不起作用

$ sudo apt install msttcorefonts -qq
$ rm ~/.cache/matplotlib -rf

---

有什么办法可以解决这个问题吗？

我终于找到了答案！要解决这个问题，我必须将ttf字体文件直接导入matplotlib，我将在下面展示解决方案

通过此代码获取matplotlib库的目录

经过tahoma.ttf到matplotlib目录/font/ttf/

删除matplotlib缓存

这是我的新代码

import matplotlib as mpl
import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.font_manager as font_manager
import os
site = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp', 'จาวาสคลิป')
usage = [10,8,6,4,2,1, 2]
mpl.use('Agg')
path = os.path.join(mpl.rcParams["datapath"], "fonts/ttf/tahoma.ttf")
prop = font_manager.FontProperties(fname=path)
plt.rcParams['font.family'] = prop.get_name()

y_pos = np.arange(len(site))
plt.bar(y_pos, usage, align='center')
degrees = 50
plt.xticks(rotation=degrees)
plt.xticks(y_pos, site)
plt.ylabel('percent')
plt.title('test')
plt.tight_layout()
plt.savefig('test.png')
plt.cla()

---

就这些！希望这可以帮助与我的问题相同的人。

交换可能会解决此问题。@r-初学者感谢您的回复，我会尝试一下，并告诉您结果：）我很高兴您能够解决此问题。@r-初学者非常感谢您的帮助，朋友：D

rm -rf ~/.cache/matplotlib

import matplotlib as mpl
import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.font_manager as font_manager
import os
site = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp', 'จาวาสคลิป')
usage = [10,8,6,4,2,1, 2]
mpl.use('Agg')
path = os.path.join(mpl.rcParams["datapath"], "fonts/ttf/tahoma.ttf")
prop = font_manager.FontProperties(fname=path)
plt.rcParams['font.family'] = prop.get_name()

y_pos = np.arange(len(site))
plt.bar(y_pos, usage, align='center')
degrees = 50
plt.xticks(rotation=degrees)
plt.xticks(y_pos, site)
plt.ylabel('percent')
plt.title('test')
plt.tight_layout()
plt.savefig('test.png')
plt.cla()