Source code for node_mask_table

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import numpy as np
from sympathy.api import node as synode
from sympathy.api import dtypes
from sympathy.api.nodeconfig import (Port, Ports, Tag, Tags,
                                     adjust)
from sympathy.api import exceptions as syexc


class ConvertError(Exception):
    pass


_config_error_msg = (
    'Failure in column {column}: could not convert {name}: '
    '"{value}" to {type}.')


def _convert(value, dtype, name):
    try:
        return dtypes.numpy_value_from_dtype_str(dtype, value)
    except ValueError:
        raise ConvertError(
            dict(name=name, value=value, type=dtypes.typename_from_kind(
                dtype.kind)))


def selected_columns_op(input_table, output_table, columns, set_progress,
                        update=True):
    if update:
        output_table.set_name(input_table.get_name())
        output_table.set_table_attributes(input_table.get_table_attributes())

    column_names = input_table.column_names()
    selected_names = set(columns.selected_names(column_names))
    n_column_names = len(column_names)

    for i, name in enumerate(column_names):
        set_progress(i * (100. / n_column_names))
        if name in selected_names:
            yield name
        elif update:
            output_table.update_column(name, input_table, name)


[docs]class FillMaskedTable(synode.Node): """ Fill masked values in Table. :Opposite. nodes: :ref:`Mask values in Table` """ author = 'Erik der Hagopian' description = 'Fill masked values in Table.' icon = 'select_table_columns.svg' name = 'Fill masked values in Table' nodeid = 'org.sysess.sympathy.table.fillmaskedvalues' tags = Tags(Tag.DataProcessing.Select) version = '1.0' inputs = Ports([Port.Table('Input')]) outputs = Ports([Port.Table('Output')]) parameters = synode.parameters() parameters.set_list( 'columns', label='Select columns', description='Select columns.', value=[], editor=synode.Editors.multilist_editor(edit=True)) parameters.set_string( 'value', label='Value', description='Specified fill value', value='') def adjust_parameters(self, node_context): adjust(node_context.parameters['columns'], node_context.input[0]) def execute(self, node_context): in_table = node_context.input[0] out_table = node_context.output[0] self.fill_columns( in_table, out_table, node_context.parameters['columns'], self.set_progress, node_context.parameters['value']) @staticmethod def fill_columns(input_table, output_table, columns, set_progress, fill): def fill_conv(column): dtype = dtypes.numpy_dtype_factory_for_dtype( column.dtype) value = _convert(fill.value, dtype, 'Value') return column.filled(value) for name in selected_columns_op(input_table, output_table, columns, set_progress): array = input_table.get_column_to_array(name) if isinstance(array, np.ma.MaskedArray): try: output_table.set_column_from_array( name, fill_conv(array)) output_table.set_column_attributes( name, input_table.get_column_attributes(name)) except ConvertError as ce: raise syexc.SyConfigurationError(_config_error_msg.format( column=name, **ce.args[0])) else: output_table.update_column(name, input_table, name)
[docs]class MaskTable(synode.Node): """ Mask values in Table. :Opposite. nodes: :ref:`Fill masked values in Table` """ author = 'Erik der Hagopian' description = 'Mask values in Table.' icon = 'select_table_columns.svg' name = 'Mask values in Table' nodeid = 'org.sysess.sympathy.table.maskvalues' tags = Tags(Tag.DataProcessing.Select) version = '1.0' inputs = Ports([Port.Table('Input')]) outputs = Ports([Port.Table('Output')]) parameters = synode.parameters() parameters.set_list( 'columns', label='Select columns', description='Select columns.', value=[], editor=synode.Editors.multilist_editor(edit=True)) parameters.set_string( 'value', label='Value', description='Specified fill value', value='') def adjust_parameters(self, node_context): adjust(node_context.parameters['columns'], node_context.input[0]) def execute(self, node_context): in_table = node_context.input[0] out_table = node_context.output[0] self.mask_columns( in_table, out_table, node_context.parameters['columns'], self.set_progress, node_context.parameters['value']) @staticmethod def mask_columns(input_table, output_table, columns, set_progress, fill): def mask_conv(column): dtype = dtypes.numpy_dtype_factory_for_dtype( column.dtype) value = _convert(fill.value, dtype, 'Value') if dtype.kind == 'f' and np.isnan(value): mask = np.isnan(column) elif dtype.kind in ['m', 'M'] and np.isnat(value): mask = np.isnat(column) else: mask = column == value if isinstance(column, np.ma.MaskedArray): mask |= column.mask res = np.ma.MaskedArray(column.data, mask, dtype=dtype) else: res = np.ma.MaskedArray(column, mask, dtype=dtype) return res for name in selected_columns_op(input_table, output_table, columns, set_progress): try: output_table.set_column_from_array( name, mask_conv(input_table.get_column_to_array(name))) output_table.set_column_attributes( name, input_table.get_column_attributes(name)) except ConvertError as ce: raise syexc.SyConfigurationError(_config_error_msg.format( column=name, **ce.args[0]))
[docs]class DropMaskTable(synode.Node): """ Drop masked values in Table. :Ref. nodes: :ref:`Fill masked values in Table`, :ref:`Mask values in Table` """ author = 'Erik der Hagopian' description = 'Drop masked values in Table.' icon = 'select_table_columns.svg' name = 'Drop masked values in Table' nodeid = 'org.sysess.sympathy.table.dropmaskvalues' tags = Tags(Tag.DataProcessing.Select) version = '1.0' inputs = Ports([Port.Table('Input')]) outputs = Ports([Port.Table('Output')]) parameters = synode.parameters() parameters.set_list( 'columns', label='Select columns', description='Select columns.', value=[], editor=synode.Editors.multilist_editor(edit=True)) directions = ['Rows', 'Columns'] parameters.set_string( 'direction', label='Drop', value=directions[0], description='Select along which axis to drop values', editor=synode.Editors.combo_editor(options=directions)) def adjust_parameters(self, node_context): adjust(node_context.parameters['columns'], node_context.input[0]) def execute(self, node_context): in_table = node_context.input[0] out_table = node_context.output[0] self.drop_columns( in_table, out_table, node_context.parameters['columns'], self.set_progress, node_context.parameters['direction']) @staticmethod def drop_columns(input_table, output_table, columns, set_progress, direction): if direction.value == 'Columns': for name in selected_columns_op(input_table, output_table, columns, set_progress): array = input_table.get_column_to_array(name) if isinstance(array, np.ma.MaskedArray): if not np.any(array.mask): output_table.set_column_from_array( name, array.data) output_table.set_column_attributes( name, input_table.get_column_attributes(name)) else: output_table.update_column(name, input_table, name) elif direction.value == 'Rows': mask = np.zeros(input_table.number_of_rows(), dtype=bool) for name in selected_columns_op(input_table, output_table, columns, set_progress, update=False): array = input_table.get_column_to_array(name) if isinstance(array, np.ma.MaskedArray): mask |= array.mask if not np.any(mask): output_table.update(input_table) else: for name in input_table.column_names(): array = input_table.get_column_to_array(name) array = array[~mask] if isinstance(array, np.ma.MaskedArray): if not np.any(array.mask): array = array.data output_table.set_column_from_array( name, array) output_table.set_column_attributes( name, input_table.get_column_attributes(name))