Python scripting
Available from version v 6.2
Summary
This operator behaves like Python scripting - with input table, but it cannot have an input table from the current data node. It can only be used as the first operation in a data node without a parent node.
It accepts the functions run, and create_table. It does not accept main and simple_main.
All other settings are the same as in Python scripting - with input table.
Configuration
Input settings of existing table
Name | Value | Opt. | Description |
---|---|---|---|
Select Python script file | System.String | opt. | Day type for day type-by-day type normalizing. |
Evaluation timeout (ms) | System.Int32 | - | Timeout in miliseconds |
Python interpreter | System.String
| opt. | |
Input data nodes | System.String | opt. | |
Output TIS Tables | System.String | opt. | |
Input file | System.String | opt. | input files can be selected |
Output file paths | System.String | opt. | A colon separated list of output file paths. |
Want to learn more?
Screenshot
Examples
Task | Import a CSV file |
---|---|
Settings |
create_table_from_csv.py async def create_table(parameters, types, columns, files): is_first = True textreader = files.i[ 0 ].textreader(newline = '\n' ) async for l in textreader: if is_first: headers = [v.strip( ' "\n' ) for v in l.split( ',' )] for col_idx, h in enumerate (headers): columns[h] = col_idx is_first = False else : fields = [v.strip( ' "\n' ) for v in l.split( ',' )] if [ f for f in fields if f ]: yield fields |
Input File | |
Result | ![]() |
Task | Define a data node start table schema |
---|---|
Settings |
create_table_from_python.py def create_table(params, types, columns, files): types[ 0 ] = int types[ 1 ] = str types[ 2 ] = datetime.datetime types[ 3 ] = float types[ 4 ] = bool columns[ 'Integer Column' ] = 0 columns[ 'String Column' ] = 1 columns[ 'DateTime Column' ] = 2 columns[ 'Float Column' ] = 3 columns[ 'Boolean Column' ] = 4 return [] |
Result |