Source code for cytoflowgui.view_plugins.table

#!/usr/bin/env python3.8
# coding: latin-1

# (c) Massachusetts Institute of Technology 2015-2018
# (c) Brian Teague 2018-2022
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
# 
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
# 
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.

"""
Table
-----

Make a table out of a statistic.  The table can then be exported.

.. object:: Statistic

    Which statistic to view.
    
.. object:: Feature
        The column in the statistic to view (often a channel name.)
    
.. object:: Rows

    Which variable to use for the rows

.. object:: Subrows

    Which variable to use for subrows.
    
.. object:: Columns

    Which variable to use for the columns.
    
.. object:: Subcolumns

    Which variable to use for the subcolumns.
    
.. object:: Export

    Export the table to a CSV file.

    
.. plot::
   :include-source: False

    import cytoflow as flow
    import_op = flow.ImportOp()
    import_op.tubes = [flow.Tube(file = "Plate01/RFP_Well_A3.fcs",
                                 conditions = {'Dox' : 10.0}),
                       flow.Tube(file = "Plate01/CFP_Well_A4.fcs",
                                 conditions = {'Dox' : 1.0})]
    import_op.conditions = {'Dox' : 'float'}
    ex = import_op.apply()
    
    ex2 = flow.ThresholdOp(name = 'Threshold',
                           channel = 'Y2-A',
                           threshold = 2000).apply(ex)
    

    ex3 = flow.ChannelStatisticOp(name = "ByDox",
                                  channel = "Y2-A",
                                  by = ['Dox', 'Threshold'],
                                  function = len).apply(ex2) 

    flow.TableView(statistic = "ByDox",
                   feature = "Y2-A",
                   row_facet = "Dox",
                   column_facet = "Threshold").plot(ex3)    

"""

import pandas as pd

from traits.api import provides, Property, Event, observe, List
from traitsui.api import View, Item, EnumEditor, VGroup, ButtonEditor
from envisage.api import Plugin
from pyface.api import ImageResource, FileDialog, OK  # @UnresolvedImport

from ..workflow.views import TableWorkflowView
from ..util import DefaultFileDialog
from ..editors import SubsetListEditor, ColorTextEditor, ExtendableEnumEditor, InstanceHandlerEditor
from ..subset_controllers import subset_handler_factory

from .i_view_plugin import IViewPlugin, VIEW_PLUGIN_EXT
from .view_plugin_base import ViewHandler, PluginHelpMixin

    
[docs] class TableHandler(ViewHandler): indices = Property(depends_on = "context.statistics, model.statistic, model.subset") levels = Property(depends_on = "context.statistics, model.statistic") features = Property(depends_on = "context.statistics, model.statistic") export = Event() view_traits_view = \ View(VGroup( VGroup(Item('statistic', editor = EnumEditor(name='context_handler.statistics_names'), label = "Statistic"), Item('feature', editor = EnumEditor(name = 'handler.features'), label = "Feature"), Item('row_facet', editor = ExtendableEnumEditor(name='handler.indices', extra_items = {"None" : ""}), label = "Rows"), Item('subrow_facet', editor = ExtendableEnumEditor(name='handler.indices', extra_items = {"None" : ""}), label = "Subrows"), Item('column_facet', editor = ExtendableEnumEditor(name='handler.indices', extra_items = {"None" : ""}), label = "Columns"), Item('subcolumn_facet', editor = ExtendableEnumEditor(name='handler.indices', extra_items = {"None" : ""}), label = "Subcolumn"), Item('handler.export', editor = ButtonEditor(label = "Export..."), enabled_when = 'result is not None', show_label = False), label = "Table View", show_border = False), VGroup(Item('subset_list', show_label = False, editor = SubsetListEditor(conditions = "handler.levels", editor = InstanceHandlerEditor(view = 'subset_view', handler_factory = subset_handler_factory), mutable = False)), label = "Subset", show_border = False, show_labels = False), Item('context.view_warning', resizable = True, visible_when = 'context.view_warning', editor = ColorTextEditor(foreground_color = "#000000", background_color = "#ffff99")), Item('context.view_error', resizable = True, visible_when = 'context.view_error', editor = ColorTextEditor(foreground_color = "#000000", background_color = "#ff9191")))) view_params_view = View() # empty view -- no parameters for a table view # MAGIC: gets the value for the property indices def _get_indices(self): if not (self.context and self.context.statistics and self.model.statistic in self.context.statistics): return [] stat = self.context.statistics[self.model.statistic] data = pd.DataFrame(index = stat.index) if self.model.subset: data = data.query(self.model.subset) if len(data) == 0: return [] names = list(data.index.names) for name in names: unique_values = data.index.get_level_values(name).unique() if len(unique_values) == 1: data.index = data.index.droplevel(name) return list(data.index.names) # MAGIC: gets the value for the property 'levels' # returns a Dict(Str, pd.Series) def _get_levels(self): if not (self.context and self.context.statistics and self.model.statistic in self.context.statistics): return {} stat = self.context.statistics[self.model.statistic] index = stat.index names = list(index.names) for name in names: unique_values = index.get_level_values(name).unique() if len(unique_values) == 1: index = index.droplevel(name) names = list(index.names) ret = {} for name in names: ret[name] = pd.Series(index.get_level_values(name)).sort_values() ret[name] = pd.Series(ret[name].unique()) return ret # MAGIC: gets the value for the property "features" def _get_features(self): if not (self.context and self.context.statistics and self.model.statistic in self.context.statistics): return [] stat = self.context.statistics[self.model.statistic] return stat.columns.to_list() @observe('export') def _on_export(self, _): dialog = DefaultFileDialog(parent = None, action = 'save as', default_suffix = "csv", wildcard = (FileDialog.create_wildcard("CSV", "*.csv") + ';' + #@UndefinedVariable FileDialog.create_wildcard("All files", "*"))) #@UndefinedVariable if dialog.open() != OK: return self.model._export_data(self.model.result, self.model.feature, dialog.path)
[docs] @provides(IViewPlugin) class TablePlugin(Plugin, PluginHelpMixin): id = 'cytoflowgui.view.table' view_id = 'cytoflow.view.table' name = "Table View" short_name = "Table"
[docs] def get_view(self): return TableWorkflowView()
[docs] def get_handler(self, model, context): if isinstance(model, TableWorkflowView): return TableHandler(model = model, context = context) else: return None
[docs] def get_icon(self): return ImageResource('table')
plugin = List(contributes_to = VIEW_PLUGIN_EXT) def _plugin_default(self): return [self]