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from itertools import chain
from typing import List, NamedTuple, Callable
import numpy as np
from AnyQt.QtWidgets import QSizePolicy, QStyle, \
QButtonGroup, QRadioButton, QComboBox
from AnyQt.QtCore import Qt
from Orange.data import Variable, Table, ContinuousVariable, TimeVariable
from Orange.data.util import get_unique_names
from Orange.widgets import gui, widget
from Orange.widgets.settings import (
ContextSetting, Setting, DomainContextHandler
)
from Orange.widgets.utils.signals import AttributeList
from Orange.widgets.utils.widgetpreview import WidgetPreview
from Orange.widgets.widget import Input, Output
from Orange.widgets.utils.itemmodels import DomainModel
class OpDesc(NamedTuple):
name: str
func: Callable[[np.ndarray], np.ndarray]
time_preserving: bool = False
def nancount_nonzero(a, axis=None):
return np.count_nonzero(np.nan_to_num(a), axis=axis)
class OWAggregateColumns(widget.OWWidget):
name = "Aggregate Columns"
description = "Compute a sum, max, min ... of selected columns."
category = "Transform"
icon = "icons/AggregateColumns.svg"
priority = 1200
keywords = "aggregate columns, aggregate, sum, product, max, min, mean, median, variance"
class Inputs:
data = Input("Data", Table, default=True)
features = Input("Features", AttributeList)
class Outputs:
data = Output("Data", Table)
class Warning(widget.OWWidget.Warning):
discrete_features = widget.Msg("Some input features are categorical:\n{}")
missing_features = widget.Msg("Some input features are missing:\n{}")
want_main_area = False
Operations = {"Sum": OpDesc("Sum", np.nansum),
"Product": OpDesc("Product", np.nanprod),
"Min": OpDesc("Minimal value", np.nanmin, True),
"Max": OpDesc("Maximal value", np.nanmax, True),
"Mean": OpDesc("Mean value", np.nanmean, True),
"Variance": OpDesc("Variance", np.nanvar),
"Median": OpDesc("Median", np.nanmedian, True),
"Count non-zero": OpDesc("Count non-zero", nancount_nonzero)}
KeyFromDesc = {op.name: key for key, op in Operations.items()}
SelectAll, SelectAllAndMeta, InputFeatures, SelectManually = range(4)
settingsHandler = DomainContextHandler()
variables: List[Variable] = ContextSetting([])
selection_method: int = Setting(SelectManually, schema_only=True)
operation = ContextSetting("Sum")
var_name = Setting("agg", schema_only=True)
auto_apply = Setting(True)
def __init__(self):
super().__init__()
self.data = None
self.features = None
self.selection_box = gui.vBox(self.controlArea, "Variable selection")
self.selection_group = QButtonGroup(self.selection_box)
for i, label in enumerate(("All",
"All, including meta attributes",
"Features from separate input signal",
"Selected variables")):
button = QRadioButton(label)
if i == self.selection_method:
button.setChecked(True)
self.selection_group.addButton(button, id=i)
self.selection_box.layout().addWidget(button)
self.selection_group.idClicked.connect(self._on_sel_method_changed)
self.variable_model = DomainModel(
order=(DomainModel.ATTRIBUTES, DomainModel.METAS),
valid_types=ContinuousVariable)
pixm: QStyle = self.style().pixelMetric
ind_width = pixm(QStyle.PM_ExclusiveIndicatorWidth) + \
pixm(QStyle.PM_RadioButtonLabelSpacing)
var_list = gui.listView(
gui.indentedBox(self.selection_box, ind_width), self, "variables",
model=self.variable_model,
callback=self.commit.deferred
)
var_list.setSelectionMode(var_list.ExtendedSelection)
box = gui.vBox(self.controlArea, box="Operation")
combo = self.operation_combo = QComboBox()
combo.addItems([op.name for op in self.Operations.values()])
combo.textActivated[str].connect(self._on_operation_changed)
combo.setSizePolicy(QSizePolicy.Minimum, QSizePolicy.Fixed)
combo.setCurrentText(self.Operations[self.operation].name)
box.layout().addWidget(combo)
gui.lineEdit(
box, self, "var_name",
label="Output variable name: ", orientation=Qt.Horizontal,
callback=self.commit.deferred
)
gui.auto_apply(self.buttonsArea, self)
self._update_selection_buttons()
@Inputs.data
def set_data(self, data: Table = None):
self.closeContext()
self.variables.clear()
self.data = data
if self.data:
self.variable_model.set_domain(data.domain)
self.openContext(data)
self.operation_combo.setCurrentText(self.Operations[self.operation].name)
else:
self.variable_model.set_domain(None)
@Inputs.features
def set_features(self, features):
if features is None:
self.features = None
missing = []
else:
self.features = [attr for attr in features if attr.is_continuous]
missing = self._missing(features, self.features)
self.Warning.discrete_features(missing, shown=bool(missing))
def _update_selection_buttons(self):
if self.features is not None:
for i, button in enumerate(self.selection_group.buttons()):
button.setChecked(i == self.InputFeatures)
button.setEnabled(i == self.InputFeatures)
self.controls.variables.setEnabled(False)
else:
for i, button in enumerate(self.selection_group.buttons()):
button.setChecked(i == self.selection_method)
button.setEnabled(i != self.InputFeatures)
self.controls.variables.setEnabled(
self.selection_method == self.SelectManually)
def handleNewSignals(self):
self._update_selection_buttons()
self.commit.now()
def _on_sel_method_changed(self, i):
self.selection_method = i
self._update_selection_buttons()
self.commit.deferred()
def _on_operation_changed(self, oper):
self.operation = self.KeyFromDesc[oper]
self.commit.deferred()
@gui.deferred
def commit(self):
augmented = self._compute_data()
self.Outputs.data.send(augmented)
def _compute_data(self):
self.Warning.missing_features.clear()
if not self.data:
return self.data
variables = self._variables()
if not self.data or not variables:
return self.data
new_col = self._compute_column(variables)
new_var = self._new_var(variables)
return self.data.add_column(new_var, new_col)
def _variables(self):
self.Warning.missing_features.clear()
if self.features is not None:
selected = [attr for attr in self.features
if attr in self.data.domain]
missing = self._missing(self.features, selected)
self.Warning.missing_features(missing, shown=bool(missing))
return selected
assert self.data
domain = self.data.domain
if self.selection_method == self.SelectAll:
return [attr for attr in domain.attributes
if attr.is_continuous]
if self.selection_method == self.SelectAllAndMeta:
# skip separators
return [attr for attr in chain(domain.attributes, domain.metas)
if attr.is_continuous]
assert self.selection_method == self.SelectManually
return self.variables
def _compute_column(self, variables):
arr = np.empty((len(self.data), len(variables)))
for i, var in enumerate(variables):
arr[:, i] = self.data.get_column(var)
func = self.Operations[self.operation].func
return func(arr, axis=1)
def _new_var_name(self):
return get_unique_names(self.data.domain, self.var_name)
def _new_var(self, variables):
name = self._new_var_name()
if self.Operations[self.operation].time_preserving \
and all(isinstance(var, TimeVariable) for var in variables):
return TimeVariable(name)
return ContinuousVariable(name)
def send_report(self):
if not self.data:
return
variables = self._variables()
if not variables:
return
var_list = self._and_others(variables, 30)
self.report_items((
("Output:",
f"'{self._new_var_name()}' as {self.operation.lower()} of {var_list}"
),
))
@staticmethod
def _and_others(variables, limit):
if len(variables) == 1:
return f"'{variables[0].name}'"
var_list = ", ".join(f"'{var.name}'"
for var in variables[:limit + 1][:-1])
if len(variables) > limit:
var_list += f" and {len(variables) - limit} more"
else:
var_list += f" and '{variables[-1].name}'"
return var_list
@classmethod
def _missing(cls, given, used):
if len(given) == len(used):
return ""
used = set(used)
# Don't use set difference because it loses order
missing = [attr for attr in given if attr not in used]
return cls._and_others(missing, 5)
if __name__ == "__main__": # pragma: no cover
brown = Table("brown-selected")
WidgetPreview(OWAggregateColumns).run(set_data=brown)
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