mne.io.anonymize_info#

mne.io.anonymize_info(info, daysback=None, keep_his=False, verbose=None)[source]#

Anonymize measurement information in place.

Warning

If info is part of an object like raw.info, you should directly use the method raw.anonymize() to ensure that all parts of the data are anonymized and stay synchronized (e.g., raw.annotations).

Parameters:

infomne.Info

The mne.Info object with information about the sensors and methods of measurement.

daysbackint | None

Number of days to subtract from all dates. If None (default), the acquisition date, info['meas_date'], will be set to January 1ˢᵗ, 2000. This parameter is ignored if info['meas_date'] is None (i.e., no acquisition date has been set).

keep_hisbool

If True, his_id of subject_info will not be overwritten. Defaults to False.

Warning

This could mean that info is not fully anonymized. Use with caution.

verbosebool | str | int | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns:

infoinstance of Info

The anonymized measurement information.

Notes

Removes potentially identifying information if it exists in info. Specifically for each of the following we use:

• meas_date, file_id, meas_id

  A default value, or as specified by daysback.

• subject_info

  Default values, except for ‘birthday’ which is adjusted to maintain the subject age.

• experimenter, proj_name, description

  Default strings.

• utc_offset

  None.

• proj_id

  Zeros.

• proc_history

  Dates use the meas_date logic, and experimenter a default string.

• helium_info, device_info

  Dates use the meas_date logic, meta info uses defaults.

If info['meas_date'] is None, it will remain None during processing the above fields.

Operates in place.