MNE-python《handling bad channels》

MNE-python官网文章《handling bad channels》(以下简称《文章》，来源——文章链接)阅读及个人实操

根据《文章》内代码，并根据个人理解，编写如下代码：

# handling bad channels
import os
from copy import deepcopy
import numpy as np
import mne
import matplotlib.pyplot as plt

# get the sample data
sample_data_path = mne.datasets.sample.data_path()
sample_data_raw_file = os.path.join(sample_data_path, 'MEG', 'sample',
                                    'sample_audvis_raw.fif')
raw = mne.io.read_raw_fif(sample_data_raw_file, verbose=False)

# marking bad channels

# 1.output the stored bad channels
print(raw.info['bads'])
# pick the 'EEG 05'channel for showing in plot
picks = mne.pick_channels_regexp(raw.ch_names, regexp='EEG 05.')
# picks:这里mne.pick_channels_regexp返回的是一个 int型array，
# 存储raw对象ch_names中同regexp value值相似或相同的channel name的Indices
# print('len of picks: ',  len(picks))  # from EEG 050-EEG059,Total number: 10

# raw.plot(order=picks, n_channels=len(picks))
# plt.show()

picks = mne.pi