本文整理汇总了Python中mne.io.RawArray.set_channel_positions方法的典型用法代码示例。如果您正苦于以下问题：Python RawArray.set_channel_positions方法的具体用法？Python RawArray.set_channel_positions怎么用？Python RawArray.set_channel_positions使用的例子？那么恭喜您, 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mne.io.RawArray的用法示例。
在下文中一共展示了RawArray.set_channel_positions方法的1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: write_mnefiff
# 需要导入模块: from mne.io import RawArray [as 别名]
# 或者: from mne.io.RawArray import set_channel_positions [as 别名]
def write_mnefiff(data, filename):
"""Export data to MNE using FIFF format.
Parameters
----------
data : instance of ChanTime
data with only one trial
filename : path to file
file to export to (include '.mat')
Notes
-----
It cannot store data larger than 2 GB.
The data is assumed to have only EEG electrodes.
It overwrites a file if it exists.
"""
from mne import create_info, set_log_level
from mne.io import RawArray
set_log_level(WARNING)
TRIAL = 0
info = create_info(list(data.axis['chan'][TRIAL]), data.s_freq, ['eeg', ] *
data.number_of('chan')[TRIAL])
UNITS = 1e-6 # mne wants data in uV
fiff = RawArray(data.data[0] * UNITS, info)
if data.attr['chan']:
fiff.set_channel_positions(data.attr['chan'].return_xyz(),
data.attr['chan'].return_label())
fiff.save(filename, overwrite=True)