matplotlib xarray basemap h5py conflict
2 min
一个困扰了我一星期的问题。
最近经常出现两个问题
一个是
ImportError: cannot import name 'dedent另一个则是h5py的版本问题。
环境为python 3.7.12
找了半天终于明白,原来xarray(h5py)对matplotlib的要求是大于3.5,而basemap的要求则是小于等于3.2(就是那个dedent)。如果强行给basemap降版本会导致h5py用不了,如果不降吧basemap又用不了。
如果用conda自动解决冲突的话,会导致xarray和h5py的版本又不匹配了
我最终的解决方法是,在E:\ana\envs\weattech\Lib\site-packages\matplotlib\cbook里面的init.py里加上下面这段
_dedent_regex={}
@deprecated("3.1", alternative="inspect.cleandoc")
def dedent(s):
"""
Remove excess indentation from docstring *s*.
Discards any leading blank lines, then removes up to n whitespace
characters from each line, where n is the number of leading
whitespace characters in the first line. It differs from
textwrap.dedent in its deletion of leading blank lines and its use
of the first non-blank line to determine the indentation.
It is also faster in most cases.
"""
# This implementation has a somewhat obtuse use of regular
# expressions. However, this function accounted for almost 30% of
# matplotlib startup time, so it is worthy of optimization at all
# costs.
if not s: # includes case of s is None
return ''
match = _find_dedent_regex.match(s)
if match is None:
return s
# This is the number of spaces to remove from the left-hand side.
nshift = match.end(1) - match.start(1)
if nshift == 0:
return s
# Get a regex that will remove *up to* nshift spaces from the
# beginning of each line. If it isn't in the cache, generate it.
unindent = _dedent_regex.get(nshift, None)
if unindent is None:
unindent = re.compile("\n\r? {0,%d}" % nshift)
_dedent_regex[nshift] = unindent
result = unindent.sub("\n", s).strip()
return result这样再次使用的时候会出现一个这个
E:\ana\envs\weattech\lib\site-packages\pyresample\bilinear\__init__.py:50: UserWarning: XArray and/or zarr not found, XArrayBilinearResampler won't be available.
warnings.warn("XArray and/or zarr not found, XArrayBilinearResampler won't be available."但是大体上不影响使用了