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我是 python 新手，并尝试使用 xarray 运行 Metpy 教程，之前它还可以，但是在我将 xarray 更新到较新版本之后，它会显示一个错误

我试图在 anaconda 提示符下创建另一个环境，并安装包括metpy在内的每个模块（xarray 已经包含在内）

import metpy
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-1-4fe739b01247> in <module>
----> 1 import metpy

C:\ProgramData\Anaconda3\envs\cobaxarray\lib\site-packages\metpy\__init__.py in <module>
     13 
     14 from ._version import get_versions  # noqa: E402
---> 15 from .xarray import *  # noqa: F401, F403
     16 __version__ = get_versions()['version']
     17 del get_versions

C:\ProgramData\Anaconda3\envs\cobaxarray\lib\site-packages\metpy\xarray.py in <module>
     11 
     12 import xarray as xr
---> 13 from xarray.core.accessors import DatetimeAccessor
     14 from xarray.core.indexing import expanded_indexer
     15 from xarray.core.utils import either_dict_or_kwargs, is_dict_like

ModuleNotFoundError: No module named 'xarray.core.accessors'

This is the xarray installed versions outside my environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.7.3 | packaged by conda-forge | (default, Mar 27 2019, 23:18:50) [MSC v.1900 64 bit (AMD64)]
python-bits: 64
OS: Windows
OS-release: 8.1
machine: AMD64
processor: Intel64 Family 6 Model 69 Stepping 1, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
libhdf5: 1.10.4
libnetcdf: 4.6.2

xarray: 0.12.2
pandas: 0.24.2
numpy: 1.16.3
scipy: 1.2.1
netCDF4: 1.5.1.2
pydap: None
h5netcdf: None
h5py: 2.9.0
Nio: None
zarr: None
cftime: 1.0.3.4
nc_time_axis: 1.1.0
PseudonetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: 1.2.1
dask: 1.2.2
distributed: 1.28.1
matplotlib: 3.1.0
cartopy: 0.17.0
seaborn: 0.9.0
numbagg: None
setuptools: 41.0.1
pip: 19.1.1
conda: 4.7.5
pytest: 4.5.0
IPython: 7.5.0
sphinx: 2.0.1

This is the installed version of xarray inside my environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.7.3 | packaged by conda-forge | (default, Jul  1 2019, 22:01:29) [MSC v.1900 64 bit (AMD64)]
python-bits: 64
OS: Windows
OS-release: 8.1
machine: AMD64
processor: Intel64 Family 6 Model 69 Stepping 1, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
libhdf5: None
libnetcdf: None

xarray: 0.12.2
pandas: 0.24.2
numpy: 1.16.4
scipy: 1.2.1
netCDF4: None
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: None
nc_time_axis: None
PseudonetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: 3.1.1
cartopy: 0.17.0
seaborn: None
numbagg: None
setuptools: 41.0.1
pip: 19.1.1
conda: None
pytest: None
IPython: 7.6.1
sphinx: None

我想从metpy教程中得到确切的结果，但是在导入metpy模块时找不到模块创建一个导致教程失败的错误，感谢您的帮助

4

3 回答 3

4

这个问题是由于 Xarray 更新到 0.12.2 造成的。昨天刚刚发布了一个新版本的 MetPy，所以这些问题已经解决了。如果你只是升级 MetPy，一切都应该再次工作：pip install --upgrade metpy

于 2019-07-05T14:57:05.140 回答
0

去C:\ProgramData\Anaconda3\envs\cobaxarray\lib\site-packages\metpy\xarray.py

找到线from xarray.core.accessors import DatetimeAccessor

将其更改为from xarray.core.accessor_dt import DatetimeAccessor

于 2019-07-05T13:06:14.670 回答
0

我不得不anaconda3在我的.bashrc文件中取消引用，然后重新安装 2020 版本anaconda3并让它在.bashrc.
然后我做了...

conda update --all
conda update spyder

...然后我又做了这两个以确保所有东西都安装好了。

然后...

conda install -c conda-forge metpy

它安装了所有内容（包括xarray）的良好版本，现在 MetPy Gallery 中的示例可以像宣传的那样工作！

于 2021-02-21T18:35:50.893 回答