Added log transform, support for multi selections in navigator-scatter, removed get_project-nonsense
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@ -97,10 +97,10 @@ class NavigatorView (gtk.TreeView):
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if objs and isinstance(objs[0], dataset.Dataset):
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logger.debug('Selecting dataset')
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main.project.set_current_data(objs)
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main.project.current_data = objs
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else:
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logger.debug('Deselecting dataset')
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main.project.set_current_data([])
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main.project.current_data = []
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def on_row_changed(self, treestore, pos, iter):
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"""Set correct focus and colours when rows have changed."""
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@ -217,6 +217,11 @@ class NavigatorMenu(gtk.Menu):
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self.trans_menu.append(self.trans_stdc_item)
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self.trans_stdc_item.show()
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self.trans_log_item = gtk.MenuItem('Log')
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self.trans_log_item.connect('activate', self.on_log, navigator)
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self.trans_menu.append(self.trans_log_item)
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self.trans_log_item.show()
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self.trans_item = gtk.MenuItem("Transformation")
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self.append(self.trans_item)
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self.trans_item.set_submenu(self.trans_menu)
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@ -339,14 +344,26 @@ class NavigatorMenu(gtk.Menu):
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def on_plot_scatter(self, item, navigator):
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project = main.project
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ds = self.dataset
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dims = ds.get_dim_name()
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ids = ds.get_identifiers(dims[1])
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plot = plots.ScatterPlot(ds, ds,
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dims[0], dims[1],
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ids[0], ids[1],
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name='Scatter (%s)' % ds.get_name())
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plot.add_axes_spin_buttons(len(ids), 0, 1)
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datasets = main.project.current_data
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ds_major = datasets[0]
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dims_major = ds_major.get_dim_name()
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ids_major = ds_major.get_identifiers(dims_major[1])
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if len(datasets)>1:
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# If there is more than one active dataset -> try to use the two first
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ds_minor = datasets[1]
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dims_minor = ds_minor.get_dim_name()
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if dims_minor != dims_major or ds_minor.shape[0] != ds_major.shape[0]:
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# the selected datasets are not matched -> use initial selected
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ds_minor = ds_major
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else:
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#Only one dataset selected
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ds_minor = ds_major
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plot = plots.ScatterPlot(ds_major, ds_minor,
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dims_major[0], dims_major[1],
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ids_major[0], ids_major[1],
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name='Scatter (%s)' % ds_major.get_name())
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plot.add_axes_spin_buttons(len(ids_major), 0, 1)
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icon = fluents.icon_factory.get("line_plot")
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project.data_tree_insert(self.tree_iter, 'Scatter', plot, None, "black", icon)
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plot.set_selection_listener(project.set_selection)
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@ -372,16 +389,32 @@ class NavigatorMenu(gtk.Menu):
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def on_standardise_rows(self, item, navigator):
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project = main.project
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ds = self.dataset.copy()
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ds._name = self.dataset._name + ".rsc"
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axis = 1
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ds._array = ds._array/scipy.expand_dims(ds._array.std(axis), axis)
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icon = fluents.icon_factory.get("dataset")
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project.data_tree_insert(self.tree_iter, self.dataset.get_name()+".rsc", ds, None, "black", icon)
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project.data_tree_insert(self.tree_iter, ds._name, ds, None, "black", icon)
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def on_standardise_cols(self, item, navigator):
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project = main.project
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ds = self.dataset.copy()
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ds._name = self.dataset._name + ".csc"
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axis = 0
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ds._array = ds._array/scipy.expand_dims(ds._array.std(axis), axis)
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icon = fluents.icon_factory.get("dataset")
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project.data_tree_insert(self.tree_iter, self.dataset.get_name()+".csc", ds, None, "black", icon)
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project.data_tree_insert(self.tree_iter, ds._name, ds, None, "black", icon)
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def on_log(self, item, navigator):
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project = main.project
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try:
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if not scipy.all(self.dataset._array>0):
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raise ValueError
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except:
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logger.log('warning', 'Datasets needs to be strictly positive for a log transform')
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return
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ds = self.dataset.copy()
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ds._array = scipy.log(ds._array)
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icon = fluents.icon_factory.get("dataset")
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ds._name = self.dataset.get_name()+".log"
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project.data_tree_insert(self.tree_iter, ds._name, ds, None, "black", icon)
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