本文整理汇总了Python中matplotlib.get_cachedir方法的典型用法代码示例。如果您正苦于以下问题：Python matplotlib.get_cachedir方法的具体用法？Python matplotlib.get_cachedir怎么用？Python matplotlib.get_cachedir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的用法示例。
在下文中一共展示了matplotlib.get_cachedir方法的4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: hardcopy_fonts
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import get_cachedir [as 别名]
def hardcopy_fonts():
path = os.path.abspath(__file__)
pkg_dir = "/" + "/".join(path.split("/")[:-1])
os.system(
"cp -r {}/fonts/firasans/* ".format(pkg_dir)
+ os.path.join(mpl.rcParams["datapath"] + "/fonts/ttf/")
)
os.system(
"cp -r {}/fonts/firamath/* ".format(pkg_dir)
+ os.path.join(mpl.rcParams["datapath"] + "/fonts/ttf/")
)
os.system(
"cp -r {}/fonts/texgyreheros/* ".format(pkg_dir)
+ os.path.join(mpl.rcParams["datapath"] + "/fonts/ttf/")
)
os.system("rm " + os.path.join(mpl.get_cachedir() + "/font*")) 示例2: get_cache_dir
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import get_cachedir [as 别名]
def get_cache_dir():
cachedir = matplotlib.get_cachedir()
if cachedir is None:
raise RuntimeError('Could not find a suitable configuration directory')
cache_dir = os.path.join(cachedir, 'test_cache')
try:
Path(cache_dir).mkdir(parents=True, exist_ok=True)
except IOError:
return None
if not os.access(cache_dir, os.W_OK):
return None
return cache_dir 示例3: get_cache_dir
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import get_cachedir [as 别名]
def get_cache_dir():
cachedir = mpl.get_cachedir()
if cachedir is None:
raise RuntimeError('Could not find a suitable configuration directory')
cache_dir = os.path.join(cachedir, 'test_cache')
try:
Path(cache_dir).mkdir(parents=True, exist_ok=True)
except IOError:
return None
if not os.access(cache_dir, os.W_OK):
return None
return cache_dir 示例4: convert
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import get_cachedir [as 别名]
def convert(filename, cache):
"""
Convert the named file to png; return the name of the created file.
If *cache* is True, the result of the conversion is cached in
`matplotlib.get_cachedir() + '/test_cache/'`. The caching is based on a
hash of the exact contents of the input file. There is no limit on the
size of the cache, so it may need to be manually cleared periodically.
"""
base, extension = filename.rsplit('.', 1)
if extension not in converter:
reason = "Don't know how to convert %s files to png" % extension
from . import is_called_from_pytest
if is_called_from_pytest():
import pytest
pytest.skip(reason)
else:
from nose import SkipTest
raise SkipTest(reason)
newname = base + '_' + extension + '.png'
if not os.path.exists(filename):
raise IOError("'%s' does not exist" % filename)
# Only convert the file if the destination doesn't already exist or
# is out of date.
if (not os.path.exists(newname) or
os.stat(newname).st_mtime < os.stat(filename).st_mtime):
if cache:
cache_dir = get_cache_dir()
else:
cache_dir = None
if cache_dir is not None:
hash_value = get_file_hash(filename)
new_ext = os.path.splitext(newname)[1]
cached_file = os.path.join(cache_dir, hash_value + new_ext)
if os.path.exists(cached_file):
shutil.copyfile(cached_file, newname)
return newname
converter[extension](filename, newname)
if cache_dir is not None:
shutil.copyfile(newname, cached_file)
return newname