##############################################################################
# But it's generally a good idea to leave them on:
mne.set_log_level('INFO')
##############################################################################
# You can set the default level by setting the environment variable
# "MNE_LOGGING_LEVEL", or by having mne-python write preferences to a file:
mne.set_config('MNE_LOGGING_LEVEL','WARNING')
##############################################################################
# Note that the location of the mne-python preferences file (for easier manual
# editing) can be found using:
mne.get_config_path()
##############################################################################
# By default logging messages print to the console, but look at
# mne.set_log_file() to save output to a file.
#
# Access raw data
# ^^^^^^^^^^^^^^^
from mne.datasets import sample
data_path = sample.data_path()
raw_fname = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif'
print(raw_fname)
##############################################################################
# .. note:: The MNE sample dataset should be downloaded automatically but be
This tutorial gives a short introduction to MNE configurations.
"""
import os.path as op
import mne
from mne.datasets.sample import data_path
fname = op.join(data_path(), 'MEG', 'sample', 'sample_audvis_raw.fif')
raw = mne.io.read_raw_fif(fname).crop(0, 10)
original_level = mne.get_config('MNE_LOGGING_LEVEL', 'INFO')
###############################################################################
# MNE-python stores configurations to a folder called `.mne` in the user's
# home directory, or to AppData directory on Windows. The path to the config
# file can be found out by calling :func:`mne.get_config_path`.
print(mne.get_config_path())
###############################################################################
# These configurations include information like sample data paths and plotter
# window sizes. Files inside this folder should never be modified manually.
# Let's see what the configurations contain.
print(mne.get_config())
###############################################################################
# We see fields like "MNE_DATASETS_SAMPLE_PATH". As the name suggests, this is
# the path the sample data is downloaded to. All the fields in the
# configuration file can be modified by calling :func:`mne.set_config`.
###############################################################################
#
# .. _tut_logging:
##############################################################################
# But it's generally a good idea to leave them on:
mne.set_log_level('INFO')
##############################################################################
# You can set the default level by setting the environment variable
# "MNE_LOGGING_LEVEL", or by having mne-python write preferences to a file:
mne.set_config('MNE_LOGGING_LEVEL', 'WARNING')
##############################################################################
# Note that the location of the mne-python preferences file (for easier manual
# editing) can be found using:
mne.get_config_path()
##############################################################################
# By default logging messages print to the console, but look at
# mne.set_log_file() to save output to a file.
#
# Access raw data
# ^^^^^^^^^^^^^^^
from mne.datasets import sample # noqa
data_path = sample.data_path()
raw_fname = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif'
print(raw_fname)
##############################################################################
# .. note:: The MNE sample dataset should be downloaded automatically but be