cerebralcortex.data_importer.data_parsers package¶

Submodules¶

cerebralcortex.data_importer.data_parsers.csv_parser module¶

csv_data_parser(line: str) → list[source]¶

parse each row of data file into list of values (timestamp, localtime, val1, val2….)

Parameters:	line (str) –
Returns:	(timestamp, localtime, val1, val2….)
Return type:	list

cerebralcortex.data_importer.data_parsers.mcerebrum module¶

mcerebrum_data_parser(line: str) → list[source]¶

parse each row of data file into list of values (timestamp, localtime, val1, val2….)

Parameters:	line (str) –
Returns:	(timestamp, localtime, val1, val2….)
Return type:	list

cerebralcortex.data_importer.data_parsers.util module¶

assign_column_names_types(df: <module 'pandas' from '/home/docs/checkouts/readthedocs.org/user_builds/cerebralcortex-kernel/envs/stable/lib/python3.6/site-packages/pandas/__init__.py'>, metadata: dict = None) → <module 'pandas' from '/home/docs/checkouts/readthedocs.org/user_builds/cerebralcortex-kernel/envs/stable/lib/python3.6/site-packages/pandas/__init__.py'>[source]¶

Change column names to the names defined in metadata->data_descriptor block

Parameters:	df (pandas) – pandas dataframe metadata (dict) – metadata of the data
Returns:	pandas dataframe

assign_column_names_types_strict(df: <module 'pandas' from '/home/docs/checkouts/readthedocs.org/user_builds/cerebralcortex-kernel/envs/stable/lib/python3.6/site-packages/pandas/__init__.py'>, metadata: dict = None) → <module 'pandas' from '/home/docs/checkouts/readthedocs.org/user_builds/cerebralcortex-kernel/envs/stable/lib/python3.6/site-packages/pandas/__init__.py'>[source]¶

Change column names to the names defined in metadata->data_descriptor block

Parameters:	df (pandas) – pandas dataframe metadata (dict) – metadata of the data
Returns:	pandas dataframe

Module contents¶

mcerebrum_data_parser(line: str) → list[source]¶

parse each row of data file into list of values (timestamp, localtime, val1, val2….)

Parameters:	line (str) –
Returns:	(timestamp, localtime, val1, val2….)
Return type:	list

csv_data_parser(line: str) → list[source]¶

parse each row of data file into list of values (timestamp, localtime, val1, val2….)

Parameters:	line (str) –
Returns:	(timestamp, localtime, val1, val2….)
Return type:	list