MNE 安装 | win 10


1 介绍

MNE脑电信号处理与分析工具包,Python环境。
官网教程:https://martinos.org/mne/stable/install_mne_python.html

2 方法1 安装

  1. 打开Anaconda Prompt
    在这里插入图片描述
  2. 输入以下命令:
curl -O https://raw.githubusercontent.com/mne-tools/mne-python/master/environment.yml
conda env create -f environment.yml
conda activate mne

3 方法2 安装

当输入第一条命令出错:
在这里插入图片描述
安装步骤:

  1. 进入网站:https://raw.githubusercontent.com/mne-tools/mne-python/master/environment.yml
  2. 复制网站文本,将其保存为文件名:environment.yml
name: mne
channels:
- defaults
dependencies:
- python<3.7
- pip
- mkl
- numpy
- scipy
- matplotlib
- cython
- pyqt>=5.9
- pandas>=0.18
- xlrd
- scikit-learn
- h5py
- pillow
- statsmodels
- jupyter
- pytest
- pytest-cov
- pytest-mock
- pytest-timeout
- joblib
- psutil
- numpydoc
- flake8
- spyder
- numexpr
- traits>=4.6.0
- pyface>=6
- traitsui>=6
- testpath<0.4
- pip:
  - mne
  - vtk
  - pyvista
  - https://api.github.com/repos/enthought/mayavi/zipball/e2569be1096be3deecb15f8fa8581a3ae3fb77d3
  - PySurfer[save_movie]
  - dipy --only-binary dipy
  - nibabel
  - nilearn
  - neo
  - pytest-faulthandler
  - pytest-sugar
  - pydocstyle
  - codespell
  - python-picard
  - pylsl>=1.12
  1. 管理员身份打开Anaconda Prompt,逐个pip install …
pip:
 - mne
 - vtk
 - pyvista
 - https://api.github.com/repos/enthought/mayavi/zipball/e2569be1096be3deecb15f8fa8581a3ae3fb77d3
 - PySurfer[save_movie]
 - dipy --only-binary dipy
 - nibabel
 - nilearn
 - neo
 - pytest-faulthandler
 - pytest-sugar
 - pydocstyle
 - codespell
 - python-picard
 - pylsl>=1.12
  1. 然后就可以了。
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