...
Code Block |
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if config['param_baseline'] is not None: config['param_baseline'] = tuple(config['param_baseline']) |
Case of a dictionary
It is possible to enter a dictionary in the config.json.example
using a nested structure:
Code Block |
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{
"param_reject": {
"grad": 4000e-13,
"mag": 4e-12,
"eeg": 40e-6
}
} |
When the config.json.example
is parsed by the Python code, config['param_reject']
is directly a dictionary, so no conversion is required.
Case of a pandas.Dataframe
Some metadata can be stored in a pandas.Dataframe
and given to a MNE function (for instance mne.Epochs
). So either, the information is stored into a .csv and converted into a pandas.Dataframe
using:
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if isinstance(config['param_metadata'], str):
config['param_metadata'] = pd.read_csv(config['param_metadata']) |
Or the user enters a dictionary in the config.json.example
and this dictionary will be then converted into a pandas.Dataframe
using:
Code Block |
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elif isinstance(config['param_metadata'], dict):
config['param_metadata'] = pd.DataFrame(list(config['param_metadata'].items())) |