Removed data information as function in workflow and added as default action on datasets double-clicked in navigator.
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efcd8c8587
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@ -36,6 +36,24 @@ class NavigatorView (gtk.TreeView):
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t = type(obj)
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t = type(obj)
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logger.log('debug', 'Selected datatype was %s. Don\'t know what to do.' % t)
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logger.log('debug', 'Selected datatype was %s. Don\'t know what to do.' % t)
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def display_data_info(self, data):
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dims = []
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for name in data.get_dim_names():
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dims.append((name, data.dims[data._dim_num[name]]))
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dim_text = ", ".join(["%s (%d)" % dim for dim in dims])
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text = """<span weight="bold">Data:</span> %s
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<span weight="bold">Dimensions:</span> %s""" % (data.get_name(), dim_text)
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d = gtk.MessageDialog(flags=(gtk.DIALOG_MODAL | gtk.DIALOG_DESTROY_WITH_PARENT),
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buttons=gtk.BUTTONS_OK)
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d.set_markup(text)
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d.set_default_response(gtk.BUTTONS_OK)
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d.run()
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d.destroy()
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def row_activated_handler(self, widget, path, column):
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def row_activated_handler(self, widget, path, column):
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tree_iter = self.data_tree.get_iter(path)
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tree_iter = self.data_tree.get_iter(path)
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obj = self.data_tree.get_value(tree_iter, 2)
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obj = self.data_tree.get_value(tree_iter, 2)
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@ -44,8 +62,7 @@ class NavigatorView (gtk.TreeView):
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logger.log('debug', 'Activating plot')
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logger.log('debug', 'Activating plot')
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self.app.change_plot(obj)
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self.app.change_plot(obj)
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elif isinstance(obj, dataset.Dataset):
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elif isinstance(obj, dataset.Dataset):
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# do nothing
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self.display_data_info(obj)
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pass
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else:
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else:
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t = type(obj)
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t = type(obj)
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logger.log('debug', 'Activated datatype was %s. Don\'t know what to do.' % t)
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logger.log('debug', 'Activated datatype was %s. Don\'t know what to do.' % t)
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@ -17,7 +17,6 @@ class EinarsWorkflow (Workflow):
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load = Stage('load', 'Load Data')
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load = Stage('load', 'Load Data')
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load.add_function(Function('load', 'Load Microarrays'))
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load.add_function(Function('load', 'Load Microarrays'))
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load.add_function(TestDataFunction())
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load.add_function(TestDataFunction())
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load.add_function(DatasetInfoFunction())
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self.add_stage(load)
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self.add_stage(load)
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preproc = Stage('preprocess', 'Preprocessing')
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preproc = Stage('preprocess', 'Preprocessing')
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@ -99,31 +98,3 @@ class TestDataFunction(Function):
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axis_1 = ['cols',[]]
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axis_1 = ['cols',[]]
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X = dataset.Dataset(x,[axis_0,axis_1])
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X = dataset.Dataset(x,[axis_0,axis_1])
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return [X, plots.SinePlot(None)]
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return [X, plots.SinePlot(None)]
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class DatasetInfoFunction(Function):
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def __init__(self):
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Function.__init__(self, 'data_info', 'Show information')
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def run(self, data):
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if not data:
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return []
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dims = []
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for name in data.get_dim_names():
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dims.append((name, data.dims[data._dim_num[name]]))
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dim_text = ", ".join(["%s (%d)" % dim for dim in dims])
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text = """<span weight="bold">Data:</span> %s
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<span weight="bold">Dimensions:</span> %s""" % (data.get_name(), dim_text)
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d = gtk.MessageDialog(flags=(gtk.DIALOG_MODAL | gtk.DIALOG_DESTROY_WITH_PARENT),
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buttons=gtk.BUTTONS_OK)
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d.set_markup(text)
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d.set_default_response(gtk.BUTTONS_OK)
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d.run()
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d.destroy()
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return []
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