Source code for node_hsplit_tables

# Copyright (c) 2013, 2017, Combine Control Systems AB
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#     * Redistributions of source code must retain the above copyright
#       notice, this list of conditions and the following disclaimer.
#     * Redistributions in binary form must reproduce the above copyright
#       notice, this list of conditions and the following disclaimer in the
#       documentation and/or other materials provided with the distribution.
#     * Neither the name of the Combine Control Systems AB nor the
#       names of its contributors may be used to endorse or promote products
#       derived from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED.
# IN NO EVENT SHALL COMBINE CONTROL SYSTEMS AB BE LIABLE FOR ANY
# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
from sympathy.api import node as synode
from sympathy.api.nodeconfig import Port, Ports, Tag, Tags


[docs]class HSplitTableNode(synode.Node): author = "Greger Cronquist" version = '1.0' icon = 'hsplit_table.svg' name = 'HSplit Table' description = ('Split a Table into multiple Tables by columns, ' 'every column becomes a new table.') nodeid = 'org.sysess.sympathy.data.table.hsplittablenode' tags = Tags(Tag.DataProcessing.TransformStructure) related = ['org.sysess.sympathy.data.table.hsplittablenodes', 'org.sysess.sympathy.data.table.hjointable'] inputs = Ports([Port.Table('Input Table', name='port1')]) outputs = Ports([Port.Tables('Split Tables', name='port1')]) def execute(self, node_context): tablefile = node_context.input['port1'] outfilelist = node_context.output['port1'] columns = tablefile.column_names() number_of_columns = len(columns) original_name = tablefile.get_name() for col_number, column in enumerate(columns): table_outfile = outfilelist.create() table_outfile.update_column(column, tablefile, column) table_outfile.set_name(u'{0}-{1}'.format( original_name, col_number)) outfilelist.append(table_outfile) self.set_progress(100.0 * (col_number + 1) / number_of_columns)
[docs]class HSplitTablesNode(synode.Node): """ Flattened output ---------------- This node flattens the output into a single list of Tables which can be convenient, but it makes it difficult to know the origin of a specific table in the output. If this is important to your use case, you can also consider using :ref:`org.sysess.sympathy.data.table.hsplittablenode` inside a Lambda and Map that over the input resulting in the type ``[[table]]``. """ author = "Greger Cronquist" version = '1.0' icon = 'hsplit_table.svg' name = 'HSplit Tables' description = ('Split a list of Table into multiple Tables, ' 'every column becomes a new table.') nodeid = 'org.sysess.sympathy.data.table.hsplittablenodes' tags = Tags(Tag.DataProcessing.TransformStructure) related = ['org.sysess.sympathy.data.table.hsplittablenode', 'org.sysess.sympathy.data.table.hjointable'] inputs = Ports([Port.Tables('Input Tables', name='port1')]) outputs = Ports([Port.Tables('Split Tables', name='port1')]) def execute(self, node_context): infilelist = node_context.input['port1'] outfilelist = node_context.output['port1'] for intable in infilelist: original_name = intable.get_name() for col_number, column in enumerate(intable.column_names()): output = outfilelist.create() output.update_column(column, intable, column) output.set_name(u'{0}-{1}'.format(original_name, col_number)) outfilelist.append(output)