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236 added
95 edited

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  • MANIFEST.in

    r10845 r11173  
    22recursive-include Orange/doc * 
    33 
    4 recursive-include Orange/OrangeWidgets *.png *.gs *.vs *.obj *.html 
    5 recursive-include Orange/OrangeCanvas *.png *.pyw *.txt 
     4recursive-include Orange/OrangeWidgets *.png *.svg *.gs *.vs *.obj *.html 
     5recursive-include Orange/OrangeCanvas *.png *.svg *.qss *.pyw *.txt 
    66recursive-include Orange/orng *.cfg *.c 
    77 
  • Orange/OrangeWidgets/Associate/OWAssociationRules.py

    r9671 r11217  
    22<name>Association Rules</name> 
    33<description>Induces association rules from data.</description> 
    4 <icon>icons/AssociationRules.png</icon> 
     4<icon>icons/AssociationRules.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>100</priority> 
  • Orange/OrangeWidgets/Associate/OWAssociationRulesTreeViewer.py

    r10810 r11217  
    22<name>Association Rules Explorer</name> 
    33<description>Association rules tree viewer.</description> 
    4 <icon>icons/AssociationRulesTreeViewer.png</icon> 
     4<icon>icons/AssociationRulesExplorer.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>300</priority> 
  • Orange/OrangeWidgets/Associate/OWAssociationRulesViewer.py

    r9671 r11217  
    22<name>Association Rules Filter</name> 
    33<description>Association rules filter and viewer.</description> 
    4 <icon>icons/AssociationRulesViewer.png</icon> 
     4<icon>icons/AssociationRulesFilter.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>200</priority> 
  • Orange/OrangeWidgets/Associate/OWItemsets.py

    r9671 r11217  
    22<name>Itemsets</name> 
    33<description>Finds frequent itemsets in the data.</description> 
    4 <icon>icons/Itemsets.png</icon> 
     4<icon>icons/Itemsets.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>1000</priority> 
  • Orange/OrangeWidgets/Associate/OWItemsetsExplorer.py

    r9671 r11217  
    22<name>Itemsets Explorer</name> 
    33<description>Itemsets explorer.</description> 
    4 <icon>icons/ItemsetsExplorer.png</icon> 
     4<icon>icons/ItemsetsExplorer.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>1100</priority> 
  • Orange/OrangeWidgets/Associate/__init__.py

    r10423 r11095  
     1""" 
     2========= 
     3Associate 
     4========= 
    15 
     6Widgets for association rules. 
     7 
     8""" 
     9 
     10# Category description for the widget registry 
     11 
     12NAME = "Associate" 
     13 
     14DESCRIPTION = "Widgets for association rules." 
     15 
     16BACKGROUND = "#ACE3CE" 
     17 
     18PRIORITY = 7 
  • Orange/OrangeWidgets/Classify/OWC45Tree.py

    r10844 r11096  
    22<name>C4.5</name> 
    33<description>C45 (classification tree) learner/classifier.</description> 
    4 <icon>icons/C45.png</icon> 
     4<icon>icons/C4.5.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>35</priority> 
  • Orange/OrangeWidgets/Classify/OWCN2.py

    r9671 r11096  
    22<name>CN2</name> 
    33<description>Rule-based (CN2) learner/classifier.</description> 
    4 <icon>icons/CN2.png</icon> 
     4<icon>icons/CN2.svg</icon> 
    55<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
    66<priority>300</priority> 
  • Orange/OrangeWidgets/Classify/OWCN2RulesViewer.py

    r9671 r11096  
    22<name>CN2 Rules Viewer</name> 
    33<description>Viewer of classification rules.</description> 
    4 <icon>icons/CN2RulesViewer.png</icon> 
     4<icon>icons/CN2RulesViewer.svg</icon> 
    55<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
    66<priority>2120</priority> 
  • Orange/OrangeWidgets/Classify/OWClassificationTree.py

    r11015 r11216  
    22<name>Classification Tree</name> 
    33<description>Classification tree learner/classifier.</description> 
    4 <icon>icons/ClassificationTree.png</icon> 
     4<icon>icons/ClassificationTree.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>30</priority> 
  • Orange/OrangeWidgets/Classify/OWClassificationTreeGraph.py

    r11038 r11216  
    11"""<name>Classification Tree Graph</name> 
    22<description>Classification tree viewer (graph view).</description> 
    3 <icon>icons/ClassificationTreeGraph.png</icon> 
     3<icon>icons/ClassificationTreeGraph.svg</icon> 
    44<contact>Blaz Zupan (blaz.zupan(@at@)fri.uni-lj.si)</contact> 
    55<priority>2110</priority> 
  • Orange/OrangeWidgets/Classify/OWClassificationTreeViewer.py

    r10552 r11096  
    22<name>Classification Tree Viewer</name> 
    33<description>Classification tree viewer (hierarchical list view).</description> 
    4 <icon>icons/ClassificationTreeViewer.png</icon> 
     4<icon>icons/ClassificationTreeViewer.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>2100</priority> 
  • Orange/OrangeWidgets/Classify/OWEnsemble.py

    r10759 r11096  
    22<name>Ensemble</name> 
    33<description>Ensemble classification</description> 
    4 <icons>icons/Ensemble.png</icons> 
     4<icon>icons/Ensemble.svg</icon> 
    55<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
    66<priority>330</priority> 
  • Orange/OrangeWidgets/Classify/OWITree.py

    r10743 r11096  
    22<name>Interactive Tree Builder</name> 
    33<description>Interactive Tree Builder</description> 
    4 <icon>icons/ITree.png</icon> 
     4<icon>icons/InteractiveTreeBuilder.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>50</priority> 
  • Orange/OrangeWidgets/Classify/OWKNN.py

    r9671 r11096  
    22<name>k Nearest Neighbours</name> 
    33<description>K-nearest neighbours learner/classifier.</description> 
    4 <icon>icons/kNearestNeighbours.png</icon> 
     4<icon>icons/kNearestNeighbours.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>25</priority> 
  • Orange/OrangeWidgets/Classify/OWLoadClassifier.py

    r10595 r11217  
    11"""<name>Load Classifier</name> 
    22<description>Load saved orange classifiers from a file</description> 
    3 <icon>icons/LoadClassifier.png</icon> 
     3<icon>icons/LoadClassifier.svg</icon> 
    44<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni.uni-lj.si)</contact> 
    55<priority>3050</priority> 
  • Orange/OrangeWidgets/Classify/OWLogisticRegression.py

    r9671 r11096  
    22<name>Logistic Regression</name> 
    33<description>Logistic regression learner/classifier.</description> 
    4 <icon>icons/LogisticRegression.png</icon> 
     4<icon>icons/LogisticRegression.svg</icon> 
    55<contact>Martin Mozina (martin.mozina(@at@)fri.uni-lj.si)</contact> 
    66<priority>15</priority> 
  • Orange/OrangeWidgets/Classify/OWMajority.py

    r9671 r11096  
    22<name>Majority</name> 
    33<description>Majority class learner/classifier.</description> 
    4 <icon>icons/Majority.png</icon> 
     4<icon>icons/Majority.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>20</priority> 
  • Orange/OrangeWidgets/Classify/OWNaiveBayes.py

    r9671 r11096  
    22<name>Naive Bayes</name> 
    33<description>Naive Bayesian learner/classifier.</description> 
    4 <icon>icons/NaiveBayes.png</icon> 
     4<icon>icons/NaiveBayes.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>10</priority> 
     
    1111from orngWrap import PreprocessedLearner 
    1212from exceptions import Exception 
     13 
     14NAME = "Naive Bayes" 
     15DESCRIPTION = "Naive Bayesian learner/classifier." 
     16 
     17ICON = "icons/NaiveBayes.svg" 
     18CATEGORY = "Classify" 
     19PRIORITY = 10 
     20 
     21INPUTS = [("Data", ExampleTable, "setData"), 
     22          ("Preprocess", PreprocessedLearner, "setPreprocessor")] 
     23 
     24OUTPUTS = [("Learner", orange.Learner), 
     25           ("Naive Bayesian Classifier", orange.BayesClassifier)] 
     26 
    1327 
    1428import warnings 
  • Orange/OrangeWidgets/Classify/OWNomogram.py

    r9671 r11096  
    22<name>Nomogram</name> 
    33<description>Nomogram viewer for Naive Bayesian, logistic regression or CN2 (EVC only) classifiers.</description> 
    4 <icon>icons/Nomogram.png</icon> 
     4<icon>icons/Nomogram.svg</icon> 
    55<contact>Martin Mozina (martin.mozina(@at@)fri.uni-lj.si)</contact> 
    66<priority>2500</priority> 
  • Orange/OrangeWidgets/Classify/OWRandomForest.py

    r10587 r11096  
    22<name>Random Forest</name> 
    33<description>Random forest learner/classifier.</description> 
    4 <icon>icons/RandomForest.png</icon> 
     4<icon>icons/RandomForest.svg</icon> 
    55<contact>Marko Toplak (marko.toplak(@at@)gmail.com)</contact> 
    66<priority>320</priority> 
  • Orange/OrangeWidgets/Classify/OWSVM.py

    r10730 r11096  
    33<name>SVM</name> 
    44<description>Support Vector Machines learner/classifier.</description> 
    5 <icon>icons/BasicSVM.png</icon> 
     5<icon>icons/SVM.svg</icon> 
    66<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
    77<priority>100</priority> 
  • Orange/OrangeWidgets/Classify/OWSaveClassifier.py

    r10595 r11096  
    11"""<name>Save Classifier</name> 
    22<description>Save orange classifiers to a file</description> 
    3 <icon>icons/SaveClassifier.png</icon> 
     3<icon>icons/SaveClassifier.svg</icon> 
    44<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
    55<priority>3000</priority> 
  • Orange/OrangeWidgets/Classify/__init__.py

    r10423 r11095  
     1""" 
     2======== 
     3Classify 
     4======== 
     5 
     6Classification algorithms. 
     7 
     8""" 
     9 
     10# Category description for the widget registry 
     11 
     12NAME = "Classify" 
     13 
     14DESCRIPTION = "Classification algorithms." 
     15 
     16BACKGROUND = "#FAC1D9" 
     17 
     18ICON = "icons/Category-Classify.svg" 
     19 
     20PRIORITY = 3 
  • Orange/OrangeWidgets/Data/OWConcatenate.py

    r9671 r11096  
    22<name>Concatenate</name> 
    33<description>Concatenates Example Tables.</description> 
    4 <icon>icons/Concatenate.png</icon> 
     4<icon>icons/Concatenate.svg</icon> 
    55<priority>1111</priority> 
    66<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
  • Orange/OrangeWidgets/Data/OWContinuize.py

    r9671 r11096  
    22<name>Continuize</name> 
    33<description>Turns discrete attributes into continuous and, optionally, normalizes the continuous values.</description> 
    4 <icon>icons/Continuize.png</icon> 
     4<icon>icons/Continuize.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>2110</priority> 
  • Orange/OrangeWidgets/Data/OWDataDomain.py

    r9996 r11096  
    22<name>Select Attributes</name> 
    33<description>Manual selection of attributes.</description> 
    4 <icon>icons/SelectAttributes.png</icon> 
     4<icon>icons/SelectAttributes.svg</icon> 
    55<priority>1100</priority> 
    66<contact>Ales Erjavec (ales.erjavec@fri.uni-lj.si)</contact> 
  • Orange/OrangeWidgets/Data/OWDataInfo.py

    r9671 r11217  
    11"""<name>Info</name> 
    22<description>Shows data information.</description> 
    3 <icon>icons/DataInfo.png</icon> 
     3<icon>icons/DataInfo.svg</icon> 
    44<priority>80</priority> 
    55<contact>Ales Erjavec (ales.erjavec@fri.uni-lj.si)</contact>""" 
  • Orange/OrangeWidgets/Data/OWDataSampler.py

    r9671 r11096  
    22<name>Data Sampler</name> 
    33<description>Selects a subset of instances from the data set.</description> 
    4 <icon>icons/DataSampler.png</icon> 
     4<icon>icons/DataSampler.svg</icon> 
    55<contact>Aleksander Sadikov (aleksander.sadikov(@at@)fri.uni-lj.si)</contact> 
    66<priority>1125</priority> 
  • Orange/OrangeWidgets/Data/OWDataTable.py

    r10703 r11096  
    77""" 
    88 
    9 # OWDataTable.py 
    10 # 
    11 # wishes: 
    12 # ignore attributes, filter examples by attribute values, do 
    13 # all sorts of preprocessing (including discretization) on the table, 
    14 # output a new table and export it in variety of formats. 
    15  
    169from OWWidget import * 
    1710import OWGUI 
     
    1912from orngDataCaching import * 
    2013import OWColorPalette 
     14 
     15 
     16NAME = "Data Table" 
     17 
     18DESCRIPTION = "Shows data in a spreadsheet." 
     19 
     20LONG_DESCRIPTION = """Data Table widget takes one or more data sets 
     21on its input and presents them in a spreadsheet format. 
     22 
     23""" 
     24 
     25ICON = "icons/DataTable.svg" 
     26 
     27PRIORITY = 100 
     28 
     29AUTHOR = "Peter Juvan" 
     30 
     31AUTHOR_EMAIL = "peter.juvan(@at@)fri.uni-lj.si" 
     32 
     33INPUTS = [("Data", ExampleTable, "dataset", Multiple + Default)] 
     34 
     35OUTPUTS = [("Selected Data", ExampleTable, Default), 
     36           ("Other Data", ExampleTable)] 
    2137 
    2238############################################################################## 
  • Orange/OrangeWidgets/Data/OWDiscretize.py

    r9671 r11096  
    22<name>Discretize</name> 
    33<description>Discretization of continuous attributes.</description> 
    4 <icon>icons/Discretize.png</icon> 
     4<icon>icons/Discretize.svg</icon> 
    55<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
    66<priority>2100</priority> 
    77""" 
     8 
    89import orange 
    910from OWWidget import * 
    1011from OWGraph import * 
    1112import OWGUI 
     13 
     14 
     15NAME = "Discretize" 
     16DESCRIPTION = "Discretization of continuous attributes." 
     17 
     18MAINTAINER = "Ales Erjavec" 
     19MAINTAINER_EMAIL = "ales.erjavec < at > fri.uni-lj.si" 
     20 
     21CATEGORY = "Data" 
     22PRIORITY = 2100 
     23ICON = "icons/Discretize.svg" 
     24 
     25HELP = "docs/html/data/discretize.html" 
     26 
     27INPUTS = [("Data", orange.ExampleTable, "setData")] 
     28OUTPUTS = [("Data", orange.ExampleTable,)] 
     29 
     30WIDGET_CLASS = "OWDiscretize" 
     31 
    1232 
    1333def frange(low, up, steps): 
  • Orange/OrangeWidgets/Data/OWEditDomain.py

    r10726 r11096  
    22<name>Edit Domain</name> 
    33<description>Edit domain variables</description> 
    4 <icon>icons/EditDomain.png</icon> 
     4<icon>icons/EditDomain.svg</icon> 
    55<contact>Ales Erjavec (ales.erjavec(@ at @)fri.uni-lj.si)</contact> 
    66<priority>3125</priority> 
  • Orange/OrangeWidgets/Data/OWFeatureConstructor.py

    r9671 r11096  
    22<name>Feature Constructor</name> 
    33<description>Construct a new continuous attribute computed from existing attributes.</description> 
    4 <icon>icons/FeatureConstructor.png</icon> 
     4<icon>icons/FeatureConstructor.svg</icon> 
    55<priority>3100</priority> 
    66<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
  • Orange/OrangeWidgets/Data/OWFile.py

    r10856 r11252  
    22<name>File</name> 
    33<description>Reads data from a file.</description> 
    4 <icon>icons/File.png</icon> 
     4<icon>icons/File.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>10</priority> 
     
    2929        if "type" in var.attributes and "origin" not in var.attributes: 
    3030            var.attributes["origin"] = dirname 
    31                   
     31 
     32 
     33NAME = "File" 
     34ID = "orange.widgets.data.file" 
     35 
     36DESCRIPTION = """ 
     37Read a data table from a supported file format on the the file system and 
     38send it to the the output. 
     39""" 
     40 
     41LONG_DESCRIPTION = """ 
     42This is the widget you will probably use at the start of every schema to read 
     43the input data file (data table with examples). The widget maintains a 
     44history of most recently used data files. For convenience, the history 
     45also includes a directory with the sample data sets that come with Orange. 
     46""" 
     47 
     48ICON = "icons/File.svg" 
     49AUTHOR = "Janez Demsar" 
     50MAINTAINER_EMAIL = "janez.demsar(@at@)fri.uni-lj.si" 
     51PRIORITY = 10 
     52CATEGORY = "Data" 
     53 
     54KEYWORDS = ["data", "file", "load", "read"] 
     55 
     56OUTPUTS = [{"name": "Data", 
     57            "type": orange.ExampleTable, 
     58            "doc": "Attribute-valued data set read from the input file."}] 
     59 
     60WIDGET_CLASS = "OWFile" 
     61 
    3262 
    3363class OWFile(OWWidget): 
  • Orange/OrangeWidgets/Data/OWImageViewer.py

    r9671 r11096  
    33<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
    44<priority>4050</priority> 
    5 <icon>icons/ImageViewer.png</icon> 
     5<icon>icons/ImageViewer.svg</icon> 
    66""" 
    77 
  • Orange/OrangeWidgets/Data/OWImpute.py

    r9671 r11096  
    22<name>Impute</name> 
    33<description>Imputes unknown values.</description> 
    4 <icon>icons/Impute.png</icon> 
     4<icon>icons/Impute.svg</icon> 
    55<priority>2130</priority> 
    66<contact>Janez Demsar</contact> 
  • Orange/OrangeWidgets/Data/OWMergeData.py

    r9671 r11096  
    22<name>Merge Data</name> 
    33<description>Merge datasets based on values of selected attributes.</description> 
    4 <icon>icons/MergeData.png</icon> 
     4<icon>icons/MergeData.svg</icon> 
    55<priority>1110</priority> 
    66<contact>Peter Juvan (peter.juvan@fri.uni-lj.si)</contact> 
  • Orange/OrangeWidgets/Data/OWMultiMergeData.py

    r10692 r11096  
    22<name>Multi-key Merge Data</name> 
    33<description>Merge datasets based on values of selected tuples of attributes.</description> 
    4 <icon>icons/MergeData.png</icon> 
     4<icon>icons/MergeData.svg</icon> 
    55<priority>100</priority> 
    66<contact>Peter Husen (phusen@bmb.sdu.dk)</contact> 
  • Orange/OrangeWidgets/Data/OWOutliers.py

    r9671 r11096  
    22<name>Outliers</name> 
    33<description>Indentification of outliers</description> 
    4 <icon>icons/Outliers.png</icon> 
     4<icon>icons/Outliers.svg</icon> 
    55<contact>Marko Toplak (marko.toplak(@at@)gmail.com)</contact>  
    66<priority>2150</priority> 
  • Orange/OrangeWidgets/Data/OWPaintData.py

    r10727 r11096  
    44<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
    55<priority>40</priority> 
    6 <icon>icons/PaintData.png</icon> 
     6<icon>icons/PaintData.svg</icon> 
    77""" 
    88 
  • Orange/OrangeWidgets/Data/OWPreprocess.py

    r10764 r11096  
    11"""<name>Preprocess</name> 
    22<description>Construct and apply data preprocessors</description> 
    3 <icon>icons/Preprocess.png</icon> 
     3<icon>icons/Preprocess.svg</icon> 
    44<priority>2105</priority> 
    55<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
  • Orange/OrangeWidgets/Data/OWPythonScript.py

    r11012 r11216  
    22<name>Python Script</name> 
    33<description>Executes python script.</description> 
    4 <icon>icons/PythonScript.png</icon> 
     4<icon>icons/PythonScript.svg</icon> 
    55<contact>Miha Stajdohar (miha.stajdohar(@at@)gmail.com)</contact>  
    66<priority>3150</priority> 
  • Orange/OrangeWidgets/Data/OWRank.py

    r9671 r11096  
    22<name>Rank</name> 
    33<description>Ranks and filters attributes by their relevance.</description> 
    4 <icon>icons/Rank.png</icon> 
     4<icon>icons/Rank.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>1102</priority> 
  • Orange/OrangeWidgets/Data/OWSave.py

    r10674 r11096  
    22<name>Save</name> 
    33<description>Saves data to a file.</description> 
    4 <icon>icons/Save.png</icon> 
     4<icon>icons/Save.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>90</priority> 
  • Orange/OrangeWidgets/Data/OWSelectData.py

    r9671 r11096  
    22<name>Select Data</name> 
    33<description>Selects instances from the data set based on conditions over attributes.</description> 
    4 <icon>icons/SelectData.png</icon> 
     4<icon>icons/SelectData.svg</icon> 
    55<priority>1150</priority> 
    66<contact>Peter Juvan (peter.juvan@fri.uni-lj.si)</contact> 
  • Orange/OrangeWidgets/Data/__init__.py

    r10423 r11252  
     1""" 
     2Data 
     3==== 
     4 
     5""" 
     6 
     7# Category description for the widget registry 
     8 
     9NAME = "Data" 
     10 
     11ID = "orange.widgets.data" 
     12 
     13DESCRIPTION = """Widgets for data manipulation""" 
     14 
     15LONG_DESRIPTION = """ 
     16This category contains widgets for data manipulation. This includes 
     17loading, importing, saving, preprocessing, selection, etc. 
     18 
     19""" 
     20 
     21ICON = "icons/Category-Data.svg" 
     22 
     23BACKGROUND = "#FFD39F" 
     24 
     25PRIORITY = 1 
  • Orange/OrangeWidgets/Evaluate/OWCalibrationPlot.py

    r10752 r11096  
    33<description>Displays calibration plot based on evaluation of classifiers.</description> 
    44<contact>Tomaz Curk</contact> 
    5 <icon>icons/CalibrationPlot.png</icon> 
     5<icon>icons/CalibrationPlot.svg</icon> 
    66<priority>1030</priority> 
    77""" 
  • Orange/OrangeWidgets/Evaluate/OWConfusionMatrix.py

    r10752 r11096  
    33<description>Shows a confusion matrix.</description> 
    44<contact>Janez Demsar</contact> 
    5 <icon>icons/ConfusionMatrix.png</icon> 
     5<icon>icons/ConfusionMatrix.svg</icon> 
    66<priority>1001</priority> 
    77""" 
  • Orange/OrangeWidgets/Evaluate/OWLiftCurve.py

    r10752 r11096  
    33<description>Displays a lift curve based on evaluation of classifiers.</description> 
    44<contact>Tomaz Curk</contact> 
    5 <icon>icons/LiftCurve.png</icon> 
     5<icon>icons/LiftCurve.svg</icon> 
    66<priority>1020</priority> 
    77""" 
  • Orange/OrangeWidgets/Evaluate/OWPredictions.py

    r10841 r11217  
    22<name>Predictions</name> 
    33<description>Displays predictions of models for a particular data set.</description> 
    4 <icon>icons/Predictions.png</icon> 
     4<icon>icons/Predictions.svg</icon> 
    55<contact>Blaz Zupan (blaz.zupan(@at@)fri.uni-lj.si)</contact> 
    66<priority>300</priority> 
  • Orange/OrangeWidgets/Evaluate/OWROC.py

    r10752 r11096  
    33<description>Displays Receiver Operating Characteristics curve based on evaluation of classifiers.</description> 
    44<contact>Tomaz Curk</contact> 
    5 <icon>icons/ROCAnalysis.png</icon> 
     5<icon>icons/ROCAnalysis.svg</icon> 
    66<priority>1010</priority> 
    77""" 
  • Orange/OrangeWidgets/Evaluate/OWTestLearners.py

    r11000 r11217  
    22<name>Test Learners</name> 
    33<description>Estimates the predictive performance of learners on a data set.</description> 
    4 <icon>icons/TestLearners.png</icon> 
     4<icon>icons/TestLearners1.svg</icon> 
    55<contact>Blaz Zupan (blaz.zupan(@at@)fri.uni-lj.si)</contact> 
    66<priority>200</priority> 
  • Orange/OrangeWidgets/Evaluate/__init__.py

    r10423 r11095  
     1""" 
     2======== 
     3Evaluate 
     4======== 
     5 
     6Evaluate classification/regression performance. 
     7 
     8""" 
     9 
     10# Category description for the widget registry 
     11 
     12NAME = "Evaluate" 
     13 
     14DESCRIPTION = "Evaluate classification/regression performance." 
     15 
     16BACKGROUND = "#C3F3F3" 
     17 
     18ICON = "icons/Category-Evaluate.svg" 
     19 
     20PRIORITY = 5 
  • Orange/OrangeWidgets/OWBaseWidget.py

    r10651 r11260  
    147147        self.savePosition = savePosition 
    148148        if savePosition: 
    149             self.settingsList = getattr(self, "settingsList", []) + ["widgetWidth", "widgetHeight", "widgetXPosition", "widgetYPosition", "widgetShown", "savedWidgetGeometry"] 
     149            self.settingsList = getattr(self, "settingsList", []) + ["widgetShown", "savedWidgetGeometry"] 
    150150 
    151151        # directories are better defined this way, otherwise .ini files get written in many places 
     
    270270    # call this function if needed in __init__ of the widget 
    271271    def safeProcessEvents(self): 
    272         keys = ["widgetXPosition", "widgetYPosition", "widgetShown", "widgetWidth", "widgetHeight"] 
     272        keys = ["widgetShown"] 
    273273        vals = [(key, getattr(self, key, None)) for key in keys] 
    274274        qApp.processEvents() 
     
    330330    def resizeEvent(self, ev): 
    331331        QDialog.resizeEvent(self, ev) 
    332         if self.savePosition: 
    333             self.widgetWidth = self.width() 
    334             self.widgetHeight = self.height() 
     332        # Don't store geometry if the widget is not visible 
     333        # (the widget receives the resizeEvent before showEvent and we must not 
     334        # overwrite the the savedGeometry before then) 
     335        if self.savePosition and self.isVisible(): 
    335336            self.savedWidgetGeometry = str(self.saveGeometry()) 
    336337 
     
    350351        if self.savePosition: 
    351352            self.widgetShown = 0 
    352             self.widgetXPosition = self.frameGeometry().x() 
    353             self.widgetYPosition = self.frameGeometry().y() 
    354353            self.savedWidgetGeometry = str(self.saveGeometry()) 
    355354        QDialog.hideEvent(self, ev) 
     
    372371    def closeEvent(self, ev): 
    373372        if self.savePosition: 
    374             self.widgetXPosition = self.frameGeometry().x() 
    375             self.widgetYPosition = self.frameGeometry().y() 
    376373            self.savedWidgetGeometry = str(self.saveGeometry()) 
    377374        QDialog.closeEvent(self, ev) 
     
    389386            self.parent.setTabText(self.parent.indexOf(self), caption) 
    390387        else: 
    391             self.captionTitle = caption     # we have to save caption title in case progressbar will change it 
     388            # we have to save caption title in case progressbar will change it 
     389            self.captionTitle = unicode(caption) 
    392390            self.setWindowTitle(caption) 
    393391 
     
    718716        self.needProcessing = 1 
    719717 
    720  
    721718    # ############################################ 
    722719    # PROGRESS BAR FUNCTIONS 
     720 
     721    progressBarValueChanged = pyqtSignal(float) 
     722    """Progress bar value has changed""" 
     723 
     724    processingStateChanged = pyqtSignal(int) 
     725    """Processing state has changed""" 
     726 
    723727    def progressBarInit(self): 
    724728        self.progressBarValue = 0 
     
    727731        if self.progressBarHandler: 
    728732            self.progressBarHandler(self, 0) 
     733        self.processingStateChanged.emit(1) 
    729734 
    730735    def progressBarSet(self, value): 
    731736        if value > 0: 
    732             self.progressBarValue = value 
     737            self.__progressBarValue = value 
    733738            usedTime = max(1, time.time() - self.startTime) 
    734             totalTime = (100.0*usedTime)/float(value) 
     739            totalTime = (100.0 * usedTime) / float(value) 
    735740            remainingTime = max(0, totalTime - usedTime) 
    736             h = int(remainingTime/3600) 
    737             min = int((remainingTime - h*3600)/60) 
    738             sec = int(remainingTime - h*3600 - min*60) 
    739             if h > 0: text = "%(h)d:%(min)02d:%(sec)02d" % vars() 
    740             else:     text = "%(min)d:%(sec)02d" % vars() 
     741            h = int(remainingTime / 3600) 
     742            min = int((remainingTime - h * 3600) / 60) 
     743            sec = int(remainingTime - h * 3600 - min * 60) 
     744            if h > 0: 
     745                text = "%(h)d:%(min)02d:%(sec)02d" % vars() 
     746            else: 
     747                text = "%(min)d:%(sec)02d" % vars() 
    741748            self.setWindowTitle(self.captionTitle + " (%(value).2f%% complete, remaining time: %(text)s)" % vars()) 
    742749        else: 
    743             self.setWindowTitle(self.captionTitle + " (0% complete)" ) 
    744         if self.progressBarHandler: self.progressBarHandler(self, value) 
     750            self.setWindowTitle(self.captionTitle + " (0% complete)") 
     751        if self.progressBarHandler: 
     752            self.progressBarHandler(self, value) 
     753 
     754        self.progressBarValueChanged.emit(value) 
     755 
    745756        qApp.processEvents() 
    746757 
     758    def progressBarValue(self): 
     759        return self.__progressBarValue 
     760 
     761    progressBarValue = pyqtProperty(float, fset=progressBarSet, 
     762                                    fget=progressBarValue) 
     763 
    747764    def progressBarAdvance(self, value): 
    748         self.progressBarSet(self.progressBarValue+value) 
     765        self.progressBarSet(self.progressBarValue + value) 
    749766 
    750767    def progressBarFinished(self): 
    751768        self.setWindowTitle(self.captionTitle) 
    752         if self.progressBarHandler: self.progressBarHandler(self, 101) 
     769        if self.progressBarHandler: 
     770            self.progressBarHandler(self, 101) 
     771        self.processingStateChanged.emit(0) 
    753772 
    754773    # handler must be a function, that receives 2 arguments. First is the widget instance, the second is the value between -1 and 101 
     
    836855            #qApp.processEvents() 
    837856        return changed 
    838      
     857 
     858    widgetStateChanged = pyqtSignal(QString, int, QString) 
     859    """Widget state has changed first arg is the state type 
     860    ('Info', 'Warning' or 'Error') the second is the message id 
     861    and finally the message string.""" 
     862 
    839863    def widgetStateToHtml(self, info=True, warning=True, error=True): 
    840864        pixmaps = self.getWidgetStateIcons() 
     
    844868                    "Error": "canvasIcons:error.png"} 
    845869        for show, what in [(info, "Info"), (warning, "Warning"),(error, "Error")]: 
    846             if self.widgetState[what]: 
     870            if show and self.widgetState[what]: 
    847871                items.append('<img src="%s" style="float: left;"> %s' % (iconPath[what], "\n".join(self.widgetState[what].values()))) 
    848872        return "<br>".join(items) 
  • Orange/OrangeWidgets/Prototypes/__init__.py

    r10423 r11095  
     1""" 
     2========== 
     3Prototypes 
     4========== 
     5 
     6Various widgets not polished for regular use. 
     7 
     8""" 
     9 
     10# Category description for the widget registry 
     11 
     12NAME = "Prototypes" 
     13 
     14DESCRIPTION = "Various widgets not polished for regular use." 
     15 
     16BACKGROUND = "#FAC1D9" 
  • Orange/OrangeWidgets/Regression/OWEarth.py

    r10776 r11217  
    33<description>Multivariate Adaptive Regression Splines (MARS)</description> 
    44<category>Regression</category> 
    5 <icon>icons/Earth.png<icon> 
     5<icon>icons/EarthMars.svg</icon> 
    66<priority>100</priority> 
    77<tags>MARS, Multivariate, Adaptive, Regression, Splines</tags> 
  • Orange/OrangeWidgets/Regression/OWKNNRegression.py

    r9671 r11096  
    22<name>k Nearest Neighbours Regression</name> 
    33<description>K-nearest neighbours learner/predictor.</description> 
    4 <icon>icons/kNearestNeighbours.png</icon> 
     4<icon>icons/kNearestNeighbours.svg</icon> 
    55<contact>Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)</contact> 
    66<priority>20</priority> 
  • Orange/OrangeWidgets/Regression/OWLinearRegression.py

    r10961 r11096  
    22<name>Linear Regression</name> 
    33<description>Linear Regression</name> 
    4 <icon>icons/LinearRegression.png</icon> 
     4<icon>icons/LinearRegression.svg</icon> 
    55<priority>10</priority> 
    66<category>Regression</category> 
  • Orange/OrangeWidgets/Regression/OWMean.py

    r9671 r11096  
    22<name>Mean</name> 
    33<description>Mean regression</description> 
    4 <icon>icons/Mean.png</icon> 
     4<icon>icons/Mean.svg</icon> 
    55<priority>5</priority> 
    66<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
  • Orange/OrangeWidgets/Regression/OWPade.py

    r9671 r11096  
    22<name>Pade</name> 
    33<description>Computes local partial derivatives</description> 
    4 <icon>icons/Pade.png</icon> 
     4<icon>icons/Pade.svg</icon> 
    55<priority>3500</priority> 
    66""" 
  • Orange/OrangeWidgets/Regression/OWRandomForestRegression.py

    r10587 r11096  
    22<name>Random Forest Regression</name> 
    33<description>Random forest regression.</description> 
    4 <icon>icons/RandomForest.png</icon> 
     4<icon>icons/RandomForestRegression.svg</icon> 
    55<contact>Marko Toplak (marko.toplak(@at@)gmail.com)</contact> 
    66<priority>320</priority> 
  • Orange/OrangeWidgets/Regression/OWRegressionTree.py

    r10552 r11096  
    22<name>Regression Tree</name> 
    33<description>Constructs a tree regression learner and given data a regression tree classifier</description> 
    4 <icon>RegressionTree.png</icon> 
     4<icon>icons/RegressionTree.svg</icon> 
    55<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
    66<priority>110</priority> 
  • Orange/OrangeWidgets/Regression/OWRegressionTreeViewer2D.py

    r10552 r11096  
    22<name> Regression Tree Graph</name> 
    33<description>Regression tree viewer (graph view).</description> 
    4 <icon>icons/RegressionTreeGraph.png</icon> 
     4<icon>icons/RegressionTreeGraph.svg</icon> 
    55<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
    66<priority>2110</priority> 
  • Orange/OrangeWidgets/Regression/OWSVMRegression.py

    r10729 r11096  
    33<name>SVM Regression</name> 
    44<description>Support Vector Machine Regression.</description> 
    5 <icon>icons/BasicSVM.png</icon> 
     5<icon>icons/SVMRegression.svg</icon> 
    66<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
    77<priority>100</priority> 
  • Orange/OrangeWidgets/Regression/__init__.py

    r10423 r11095  
     1""" 
     2========== 
     3Regression 
     4========== 
     5 
     6Prediction of continuous class variables. 
     7 
     8""" 
     9 
     10# Category description for the widget registry 
     11 
     12NAME = "Regression" 
     13 
     14DESCRIPTION = "Prediction of continuous class variables." 
     15 
     16BACKGROUND = "#E5BBFB" 
     17 
     18ICON = "icons/Category-Regression.svg" 
     19 
     20PRIORITY = 4 
  • Orange/OrangeWidgets/Unsupervised/OWAttributeDistance.py

    r9671 r11217  
    22<name>Attribute Distance</name> 
    33<description>Computes attribute distance for given data set.</description> 
    4 <icon>icons/AttributeDistance.png</icon> 
     4<icon>icons/Distance.svg</icon> 
    55<contact>Blaz Zupan (blaz.zupan(@at@)fri.uni-lj.si)</contact> 
    66<priority>1400</priority> 
  • Orange/OrangeWidgets/Unsupervised/OWDistanceFile.py

    r10466 r11217  
    33<description>Loads a distance matrix from a file</description> 
    44<contact>Janez Demsar</contact> 
    5 <icon>icons/DistanceFile.png</icon> 
     5<icon>icons/LoadDistances.svg</icon> 
    66<priority>1100</priority> 
    77""" 
  • Orange/OrangeWidgets/Unsupervised/OWDistanceMap.py

    r9671 r11217  
    22<name>Distance Map</name> 
    33<description>Displays distance matrix as a heat map.</description> 
    4 <icon>icons/DistanceMap.png</icon> 
     4<icon>icons/DistanceMatrix.svg</icon> 
    55<contact>Blaz Zupan (blaz.zupan(@at@)fri.uni-lj.si)</contact> 
    66<priority>1200</priority> 
  • Orange/OrangeWidgets/Unsupervised/OWExampleDistance.py

    r9671 r11217  
    22<name>Example Distance</name> 
    33<description>Computes a distance matrix from a set of data examples.</description> 
    4 <icon>icons/ExampleDistance.png</icon> 
     4<icon>icons/Distance.svg</icon> 
    55<contact>Blaz Zupan (blaz.zupan(@at@)fri.uni-lj.si)</contact> 
    66<priority>1300</priority> 
  • Orange/OrangeWidgets/Unsupervised/OWHierarchicalClustering.py

    r10762 r11217  
    22<name>Hierarchical Clustering</name> 
    33<description>Hierarchical clustering based on distance matrix, and a dendrogram viewer.</description> 
    4 <icon>icons/HierarchicalClustering.png</icon> 
     4<icon>icons/HierarchicalClustering.svg</icon> 
    55<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact>  
    66<priority>2100</priority> 
  • Orange/OrangeWidgets/Unsupervised/OWKMeans.py

    r10995 r11217  
    22<name>k-Means Clustering</name> 
    33<description>k-means clustering.</description> 
    4 <icon>icons/KMeans.png</icon> 
     4<icon>icons/kMeansClustering.svg</icon> 
    55<contact>Blaz Zupan (blaz.zupan(@at@)fri.uni-lj.si)</contact> 
    66<priority>2300</priority> 
  • Orange/OrangeWidgets/Unsupervised/OWMDS.py

    r9671 r11217  
    22<name>MDS</name> 
    33<description>Multi dimensional scaling</description> 
    4 <icon>icons/MDS.png</icon> 
     4<icon>icons/MDS.svg</icon> 
    55<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact> 
    66<priority>2500</priority> 
  • Orange/OrangeWidgets/Unsupervised/OWPCA.py

    r10848 r11217  
    33<description>Perform Principal Component Analysis</description> 
    44<contact>ales.erjavec(@ at @)fri.uni-lj.si</contact> 
    5 <icons>icons/PCA.png</icons> 
     5<icon>icons/PCA.svg</icon> 
    66<tags>pca,principal,component,projection</tags> 
    77<priority>3050</priority> 
  • Orange/OrangeWidgets/Unsupervised/OWSOM.py

    r10455 r11217  
    22<name>SOM</name> 
    33<description>Self organizing maps learner.</description> 
    4 <icon>icons/SOM.png</icon> 
     4<icon>icons/SOM.svg</icon> 
    55<contact>Ales Erjavec (ales.erjevec(@at@)fri.uni.lj.si)</contact>  
    66<priority>5010</priority> 
  • Orange/OrangeWidgets/Unsupervised/OWSOMVisualizer.py

    r9671 r11217  
    22<name>SOM Visualizer</name> 
    33<description>Visualizes a trained self organising maps.</description> 
    4 <icon>icons/SOMVisualizer.png</icon> 
     4<icon>icons/SOMVisualizer.svg</icon> 
    55<contact>Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)</contact>  
    66<priority>5020</priority> 
  • Orange/OrangeWidgets/Unsupervised/OWSaveDistanceFile.py

    r10738 r11217  
    33<description>Saves a distance matrix to a file</description> 
    44<contact>Miha Stajdohar</contact> 
    5 <icon>icons/SaveDistanceFile.png</icon> 
     5<icon>icons/SaveDistances.svg</icon> 
    66<priority>1150</priority> 
    77""" 
  • Orange/OrangeWidgets/Unsupervised/OWSymMatrixTransform.py

    r9671 r11217  
    33<description>Tranforms matrix according to selected criteria</description> 
    44<contact>Miha Stajdohar</contact> 
    5 <icon>icons/DistanceFile.png</icon> 
     5<icon>icons/MatrixTransformation.svg</icon> 
    66<priority>1110</priority> 
    77""" 
  • Orange/OrangeWidgets/Unsupervised/__init__.py

    r10423 r11095  
     1""" 
     2============ 
     3Unsupervised 
     4============ 
    15 
     6Unsupervised learning. 
     7 
     8""" 
     9 
     10# Category description for the widget registry 
     11 
     12NAME = "Unsupervised" 
     13 
     14DESCRIPTION = "Unsupervised learning." 
     15 
     16BACKGROUND = "#CAE1EF" 
     17 
     18PRIORITY = 6 
  • Orange/OrangeWidgets/Visualize/OWAttributeStatistics.py

    r9671 r11096  
    33<description>Basic attribute statistics.</description> 
    44<contact>Jure Zabkar (jure.zabkar@fri.uni-lj.si)</contact> 
    5 <icon>icons/AttributeStatistics.png</icon> 
     5<icon>icons/AttributeStatistics.svg</icon> 
    66<priority>200</priority> 
    77""" 
  • Orange/OrangeWidgets/Visualize/OWCorrespondenceAnalysis.py

    r9671 r11096  
    11"""<name>Correspondence Analysis</name> 
    22<description>Takes a ExampleTable and runs correspondence analysis</description> 
    3 <icon>icons/CorrespondenceAnalysis.png</icon> 
     3<icon>icons/CorrespondenceAnalysis.svg</icon> 
    44<priority>3300</priority> 
    55<contact>Ales Erjavec (ales.erjavec(@ at @)fri.uni-lj.si</contact> 
  • Orange/OrangeWidgets/Visualize/OWDistributions.py

    r10493 r11096  
    33<description>Displays attribute value distributions.</description> 
    44<contact>Tomaz Curk</contact> 
    5 <icon>icons/Distribution.png</icon> 
     5<icon>icons/Distribution.svg</icon> 
    66<priority>100</priority> 
    77""" 
  • Orange/OrangeWidgets/Visualize/OWLinProj.py

    r10913 r11096  
    33<description>Create a linear projection.</description> 
    44<contact>Gregor Leban (gregor.leban@fri.uni-lj.si)</contact> 
    5 <icon>icons/LinearProjection.png</icon> 
     5<icon>icons/LinearProjection.svg</icon> 
    66<priority>2000</priority> 
    77""" 
  • Orange/OrangeWidgets/Visualize/OWMosaicDisplay.py

    r9671 r11096  
    33<description>Shows a mosaic display.</description> 
    44<contact>Gregor Leban (gregor.leban@fri.uni-lj.si)</contact> 
    5 <icon>icons/MosaicDisplay.png</icon> 
     5<icon>icons/MosaicDisplay.svg</icon> 
    66<priority>4100</priority> 
    77""" 
  • Orange/OrangeWidgets/Visualize/OWMultiCorrespondenceAnalysis.py

    r9671 r11096  
    11"""<name>Multi Correspondence Analysis</name> 
    22<description>Takes a ExampleTable and runs multi correspondence analysis</description> 
    3 <icon>icons/CorrespondenceAnalysis.png</icon> 
     3<icon>icons/CorrespondenceAnalysis.svg</icon> 
    44<priority>3350</priority> 
    55<contact>Ales Erjavec (ales.erjavec(@ at @)fri.uni-lj.si</contact> 
  • Orange/OrangeWidgets/Visualize/OWParallelCoordinates.py

    r10466 r11096  
    33<description>Parallel coordinates (multiattribute) visualization.</description> 
    44<contact>Gregor Leban (gregor.leban@fri.uni-lj.si)</contact> 
    5 <icon>icons/ParallelCoordinates.png</icon> 
     5<icon>icons/ParallelCoordinates.svg</icon> 
    66<priority>3200</priority> 
    77""" 
  • Orange/OrangeWidgets/Visualize/OWPolyviz.py

    r9671 r11096  
    33<description>Polyviz (multiattribute) visualization.</description> 
    44<contact>Gregor Leban (gregor.leban@fri.uni-lj.si)</contact> 
    5 <icon>icons/Polyviz.png</icon> 
     5<icon>icons/Polyviz.svg</icon> 
    66<priority>3150</priority> 
    77""" 
  • Orange/OrangeWidgets/Visualize/OWRadviz.py

    r9671 r11096  
    33<description>Create a radviz projection.</description> 
    44<contact>Gregor Leban (gregor.leban@fri.uni-lj.si)</contact> 
    5 <icon>icons/Radviz.png</icon> 
     5<icon>icons/Radviz.svg</icon> 
    66<priority>3100</priority> 
    77""" 
  • Orange/OrangeWidgets/Visualize/OWScatterPlot.py

    r9671 r11096  
    33<description>Scatterplot visualization.</description> 
    44<contact>Gregor Leban (gregor.leban@fri.uni-lj.si)</contact> 
    5 <icon>icons/ScatterPlot.png</icon> 
     5<icon>icons/ScatterPlot.svg</icon> 
    66<priority>1000</priority> 
    77""" 
  • Orange/OrangeWidgets/Visualize/OWSieveDiagram.py

    r9671 r11096  
    33<description>Sieve diagram.</description> 
    44<contact>Gregor Leban (gregor.leban@fri.uni-lj.si)</contact> 
    5 <icon>icons/SieveDiagram.png</icon> 
     5<icon>icons/SieveDiagram.svg</icon> 
    66<priority>4200</priority> 
    77""" 
  • Orange/OrangeWidgets/Visualize/OWSieveMultigram.py

    r9671 r11096  
    33<description>Sieve multigram.</description> 
    44<contact>Gregor Leban (gregor.leban@fri.uni-lj.si)</contact> 
    5 <icon>icons/SieveMultigram.png</icon> 
     5<icon>icons/SieveMultigram.svg</icon> 
    66<priority>4300</priority> 
    77""" 
  • Orange/OrangeWidgets/Visualize/OWSurveyPlot.py

    r9671 r11096  
    33<description>Survey plot (multiattribute) visualization.</description> 
    44<contact>Gregor Leban (gregor.leban@fri.uni-lj.si)</contact> 
    5 <icon>icons/SurveyPlot.png</icon> 
     5<icon>icons/SurveyPlot.svg</icon> 
    66<priority>3250</priority> 
    77""" 
  • Orange/OrangeWidgets/Visualize/__init__.py

    r10423 r11095  
     1""" 
     2========= 
     3Visualize 
     4========= 
     5 
     6Widgets for data visualization. 
     7 
     8""" 
     9 
     10# Category description for the widget registry 
     11 
     12NAME = "Visualize" 
     13 
     14DESCRIPTION = "Widgets for data visualization." 
     15 
     16BACKGROUND = "#FFB7B1" 
     17 
     18ICON = "icons/Category-Visualize.svg" 
     19 
     20PRIORITY = 2 
  • Orange/OrangeWidgets/__init__.py

    r9671 r11095  
    11""" 
    2     This file is here so that the documentation generator can import the 'plot' module.  
     2 
    33""" 
     4import pkg_resources 
     5 
     6 
     7# Entry point for main Orange categories/widgets discovery 
     8def widget_discovery(discovery): 
     9    from . import ( 
     10        Associate, Classify, Data, Evaluate, Regression, 
     11        Unsupervised, Visualize, Prototypes 
     12    ) 
     13    dist = pkg_resources.get_distribution("Orange") 
     14    for pkg in [Data, Visualize, Classify, Regression, Evaluate, Unsupervised, 
     15                Associate, Prototypes]: 
     16        discovery.process_category_package(pkg, distribution=dist) 
  • setup.py

    r11014 r11216  
    640640             all_with_extension(path="doc/datasets", extensions=("tab", "csv", "basket")) +\ 
    641641             all_with_extension(path="testing/regression/tests_20", extensions=("net", "tab", "basket", "csv")), 
    642         "Orange.OrangeCanvas": ["icons/*.png", "orngCanvas.pyw", "WidgetTabs.txt"], 
    643         "Orange.OrangeWidgets": ["icons/*.png", "icons/backgrounds/*.png", "report/index.html"], 
    644         "Orange.OrangeWidgets.Associate": ["icons/*.png"], 
    645         "Orange.OrangeWidgets.Classify": ["icons/*.png"], 
    646         "Orange.OrangeWidgets.Data": ["icons/*.png"], 
    647         "Orange.OrangeWidgets.Evaluate": ["icons/*.png"], 
    648         "Orange.OrangeWidgets.Prototypes": ["icons/*.png"], 
    649         "Orange.OrangeWidgets.Regression": ["icons/*.png"], 
    650         "Orange.OrangeWidgets.Unsupervised": ["icons/*.png"], 
    651         "Orange.OrangeWidgets.Visualize": ["icons/*.png"], 
    652         "Orange.OrangeWidgets.Visualize Qt": ["icons/*.png"], 
     642        "Orange.OrangeCanvas": ["icons/*.png", "icons/*.svg", 
     643                                "orngCanvas.pyw", "WidgetTabs.txt"], 
     644        "Orange.OrangeCanvas.styles": ["*.qss", "orange/*.svg"], 
     645        "Orange.OrangeWidgets": ["icons/*.png", "icons/backgrounds/*.png", 
     646                                 "report/index.html"], 
     647        "Orange.OrangeWidgets.Associate": ["icons/*.png", "icons/*.svg"], 
     648        "Orange.OrangeWidgets.Classify": ["icons/*.png", "icons/*.svg"], 
     649        "Orange.OrangeWidgets.Data": ["icons/*.png", "icons/*.svg"], 
     650        "Orange.OrangeWidgets.Evaluate": ["icons/*.png", "icons/*.svg"], 
     651        "Orange.OrangeWidgets.Prototypes": ["icons/*.png", "icons/*.svg"], 
     652        "Orange.OrangeWidgets.Regression": ["icons/*.png", "icons/*.svg"], 
     653        "Orange.OrangeWidgets.Unsupervised": ["icons/*.png", "icons/*.svg"], 
     654        "Orange.OrangeWidgets.Visualize": ["icons/*.png", "icons/*.svg"], 
     655        "Orange.OrangeWidgets.Visualize Qt": ["icons/*.png", "icons/*.svg"], 
    653656        "Orange.OrangeWidgets.plot": ["*.gs", "*.vs"], 
    654657        "Orange.OrangeWidgets.plot.primitives": ["*.obj"], 
     
    747750# http://packages.python.org/distribute/setuptools.html#automatic-script-creation 
    748751ENTRY_POINTS = { 
     752    'gui_scripts': ( 
     753            'orange-canvas = Orange.OrangeCanvas.main:main', 
     754    ) 
    749755} 
    750756 
     
    776782        cmdclass = cmdclass, 
    777783        ext_modules = ext_modules, 
    778         scripts = ( 
    779             "bin/orange-canvas", 
    780         ), 
     784#        scripts = ( 
     785#            "bin/orange-canvas", 
     786#        ), 
    781787    ) 
    782788 
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