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from Orange.data import Table | ||
from Orange.preprocess.preprocess import Preprocess, Discretize | ||
from Orange.widgets import gui | ||
from Orange.widgets.utils.sql import check_sql_input | ||
from Orange.widgets.widget import OWWidget, Input, Output | ||
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class OWTransform(OWWidget): | ||
name = "Transform" | ||
description = "Transform data table." | ||
icon = "icons/Transform.svg" | ||
priority = 2110 | ||
keywords = [] | ||
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class Inputs: | ||
data = Input("Data", Table, default=True) | ||
preprocessor = Input("Preprocessor", Preprocess) | ||
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class Outputs: | ||
transformed_data = Output("Transformed Data", Table) | ||
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resizing_enabled = False | ||
want_main_area = False | ||
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def __init__(self): | ||
super().__init__() | ||
self.data = None | ||
self.preprocessor = None | ||
self.transformed_data = None | ||
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info_box = gui.widgetBox(self.controlArea, "Info") | ||
self.input_label = gui.widgetLabel(info_box, "") | ||
self.preprocessor_label = gui.widgetLabel(info_box, "") | ||
self.output_label = gui.widgetLabel(info_box, "") | ||
self.set_input_label_text() | ||
self.set_preprocessor_label_text() | ||
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def set_input_label_text(self): | ||
text = "No data on input." | ||
if self.data is not None: | ||
text = "Input data with {:,} instances and {:,} features.".format( | ||
len(self.data), | ||
len(self.data.domain.attributes)) | ||
self.input_label.setText(text) | ||
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def set_preprocessor_label_text(self): | ||
text = "No preprocessor on input." | ||
if self.transformed_data is not None: | ||
text = "Preprocessor {} applied.".format(self.preprocessor) | ||
elif self.preprocessor is not None: | ||
text = "Preprocessor {} on input.".format(self.preprocessor) | ||
self.preprocessor_label.setText(text) | ||
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def set_output_label_text(self): | ||
text = "" | ||
if self.transformed_data: | ||
text = "Output data includes {:,} features.".format( | ||
len(self.transformed_data.domain.attributes)) | ||
self.output_label.setText(text) | ||
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@Inputs.data | ||
@check_sql_input | ||
def set_data(self, data): | ||
self.data = data | ||
self.set_input_label_text() | ||
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@Inputs.preprocessor | ||
def set_preprocessor(self, preprocessor): | ||
self.preprocessor = preprocessor | ||
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def handleNewSignals(self): | ||
self.apply() | ||
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def apply(self): | ||
self.transformed_data = None | ||
if self.data is not None and self.preprocessor is not None: | ||
self.transformed_data = self.preprocessor(self.data) | ||
self.Outputs.transformed_data.send(self.transformed_data) | ||
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self.set_preprocessor_label_text() | ||
self.set_output_label_text() | ||
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def send_report(self): | ||
if self.preprocessor is not None: | ||
self.report_items("Settings", | ||
(("Preprocessor", self.preprocessor),)) | ||
if self.data is not None: | ||
self.report_data("Data", self.data) | ||
if self.transformed_data is not None: | ||
self.report_data("Transformed data", self.transformed_data) | ||
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if __name__ == "__main__": | ||
from AnyQt.QtWidgets import QApplication | ||
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app = QApplication([]) | ||
ow = OWTransform() | ||
d = Table("iris") | ||
pp = Discretize() | ||
ow.set_data(d) | ||
ow.set_preprocessor(pp) | ||
ow.handleNewSignals() | ||
ow.show() | ||
app.exec_() | ||
ow.saveSettings() |
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# Test methods with long descriptive names can omit docstrings | ||
# pylint: disable=missing-docstring | ||
from Orange.data import Table | ||
from Orange.preprocess import Discretize | ||
from Orange.widgets.data.owtransform import OWTransform | ||
from Orange.widgets.tests.base import WidgetTest | ||
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class TestOWTransform(WidgetTest): | ||
def setUp(self): | ||
self.widget = self.create_widget(OWTransform) | ||
self.data = Table("iris") | ||
self.preprocessor = Discretize() | ||
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def test_output(self): | ||
# send data and preprocessor | ||
self.send_signal(self.widget.Inputs.data, self.data) | ||
self.send_signal(self.widget.Inputs.preprocessor, self.preprocessor) | ||
output = self.get_output(self.widget.Outputs.transformed_data) | ||
self.assertIsInstance(output, Table) | ||
self.assertEqual("Input data with 150 instances and 4 features.", | ||
self.widget.input_label.text()) | ||
self.assertEqual("Preprocessor Discretize() applied.", | ||
self.widget.preprocessor_label.text()) | ||
self.assertEqual("Output data includes 4 features.", | ||
self.widget.output_label.text()) | ||
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# remove preprocessor | ||
self.send_signal(self.widget.Inputs.preprocessor, None) | ||
output = self.get_output(self.widget.Outputs.transformed_data) | ||
self.assertIsNone(output) | ||
self.assertEqual("Input data with 150 instances and 4 features.", | ||
self.widget.input_label.text()) | ||
self.assertEqual("No preprocessor on input.", self.widget.preprocessor_label.text()) | ||
self.assertEqual("", self.widget.output_label.text()) | ||
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# send preprocessor | ||
self.send_signal(self.widget.Inputs.preprocessor, self.preprocessor) | ||
output = self.get_output(self.widget.Outputs.transformed_data) | ||
self.assertIsInstance(output, Table) | ||
self.assertEqual("Input data with 150 instances and 4 features.", | ||
self.widget.input_label.text()) | ||
self.assertEqual("Preprocessor Discretize() applied.", | ||
self.widget.preprocessor_label.text()) | ||
self.assertEqual("Output data includes 4 features.", | ||
self.widget.output_label.text()) | ||
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# remove data | ||
self.send_signal(self.widget.Inputs.data, None) | ||
output = self.get_output(self.widget.Outputs.transformed_data) | ||
self.assertIsNone(output) | ||
self.assertEqual("No data on input.", self.widget.input_label.text()) | ||
self.assertEqual("Preprocessor Discretize() on input.", | ||
self.widget.preprocessor_label.text()) | ||
self.assertEqual("", self.widget.output_label.text()) | ||
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# remove preprocessor | ||
self.send_signal(self.widget.Inputs.preprocessor, None) | ||
self.assertEqual("No data on input.", self.widget.input_label.text()) | ||
self.assertEqual("No preprocessor on input.", | ||
self.widget.preprocessor_label.text()) | ||
self.assertEqual("", self.widget.output_label.text()) | ||
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def test_send_report(self): | ||
self.send_signal(self.widget.Inputs.data, self.data) | ||
self.widget.report_button.click() | ||
self.send_signal(self.widget.Inputs.data, None) | ||
self.widget.report_button.click() |