Csv Reader Master

Module name: CsvReaderMaster

Package: CEAMSModules 7.4.0

Version: 2.0.0

Overview

Read events from a CSV file. All index starts at 1.

Inputs

Input	Format	Default	Description
files	List of string	—	The files to read
file_separator	string	t	The file separator as ‘t’ or ‘,’.
group_col_i	integer	1	The column index of the group
name_col_i	integer	2	The column index of the event names
onset_col_i	integer	3	The column index of the onset of the events
duration_col_i	integer	4	The column index of the duration of the events
channels_col_i	integer	5	The column index of the channel of the events
sample_rate	—	256	See module settings for configuration details.
input_as_time	Bool	1	If 1, the content of the column are in time (s) if 0, the content are in samples
event_center	Bool	0	If 1, the content of the onset is the event center if 0, the content of the onset is the event onset
fixed_dur	float	—	Valide only when duration_col_i==0. The fixed duration of all the events.
personnalized_header	bool	0	True to output the header of the event passed in parameters. False to ouput a default header (columns=[‘group’,’name’,’start_sec’,’duration_sec’,’channels’])

Outputs

Output	Format	Description
events	Pandas DataFrame	List of events (columns=[‘group’,’name’,’start_sec’,’duration_sec’,’channels’]) OR list of events with personalized columns
filename	String	Last filename read (or current filename)

Usage in a process

1. Open Dev Tools -> New process in Snooz.

2. In the Module Library, find Csv Reader Master under the Files I/O category.

3. Drag the module onto the process canvas.

4. Connect the required inputs from upstream modules (or set values in the Settings tab).

5. Connect outputs to downstream modules as needed.

6. Double-click the module to configure parameters in the Settings tab.

7. Run the process and inspect results in the Results tab.

Note

For general guidance on building processes with modules, see Explore examples.