Changeset 11096:cf7d2ae9d22b in orange


Ignore:
Timestamp:
10/05/12 12:12:48 (19 months ago)
Author:
Ales Erjavec <ales.erjavec@…>
Branch:
default
Message:

Added new svg icons for the widgets/categories.

Location:
Orange
Files:
84 added
62 edited

Legend:

Unmodified
Added
Removed
  • 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

    r10552 r11096  
    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

    r10552 r11096  
    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 r11096  
    11"""<name>Load Classifier</name> 
    22<description>Load saved orange classifiers from a file</description> 
    3 <icon>icons/LoadClassifier.png</icon> 
     3<icon>icons/LoadObject.png</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

    r11095 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> 
     
    1515DESCRIPTION = "Naive Bayesian learner/classifier." 
    1616 
    17 ICON = "icons/NaiveBayes.png" 
     17ICON = "icons/NaiveBayes.svg" 
    1818CATEGORY = "Classify" 
    1919PRIORITY = 10 
  • 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/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/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

    r11095 r11096  
    2323""" 
    2424 
    25 ICON = "icons/DataTable.png" 
     25ICON = "icons/DataTable.svg" 
    2626 
    2727PRIORITY = 100 
  • Orange/OrangeWidgets/Data/OWDiscretize.py

    r11095 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> 
     
    2121CATEGORY = "Data" 
    2222PRIORITY = 2100 
    23 ICON = "icons/Discretize.png" 
     23ICON = "icons/Discretize.svg" 
    2424 
    2525HELP = "docs/html/data/discretize.html" 
  • 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

    r11095 r11096  
    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> 
     
    3232 
    3333NAME = "File" 
    34 DESCRIPTION = "Reads data from a file." 
     34DESCRIPTION = "Reads a data table from a file." 
    3535 
    3636LONG_DESCRIPTION = """Read a data table from a supported file format on 
    3737the the filesystem and send it to the the output.""" 
    3838 
    39 ICON = "icons/File.png" 
     39ICON = "icons/File.svg" 
    4040AUTHOR = "Janez Demsar" 
    4141MAINTAINER_EMAIL = "janez.demsar(@at@)fri.uni-lj.si" 
  • 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

    r10727 r11096  
    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/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/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/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/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""" 
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