fixes
This commit is contained in:
parent
7eb3fa8b46
commit
97e652edce
|
@ -57,8 +57,8 @@ class Dataset:
|
||||||
else:
|
else:
|
||||||
raise ValueError, "Array input must be of ArrayType"
|
raise ValueError, "Array input must be of ArrayType"
|
||||||
|
|
||||||
def __str__(self):
|
#def __str__(self):
|
||||||
return self._name + ":\n" + "Dim names: " + self._dims.__str__()
|
# return self._name + ":\n" + "Dim names: " + self._dims.__str__()
|
||||||
|
|
||||||
def __iter__(self):
|
def __iter__(self):
|
||||||
"""Returns an iterator over dimensions of dataset."""
|
"""Returns an iterator over dimensions of dataset."""
|
||||||
|
@ -181,7 +181,7 @@ class Dataset:
|
||||||
if idents==None:
|
if idents==None:
|
||||||
index = array_sort(self._map[dim].values())
|
index = array_sort(self._map[dim].values())
|
||||||
else:
|
else:
|
||||||
index = [self._map[dim][key] for key in idents]
|
index = [self._map[dim][key] for key in idents if self._map[dim].has_key(key)]
|
||||||
return asarray(index)
|
return asarray(index)
|
||||||
|
|
||||||
class CategoryDataset(Dataset):
|
class CategoryDataset(Dataset):
|
||||||
|
@ -236,7 +236,7 @@ class GraphDataset(Dataset):
|
||||||
|
|
||||||
def asnetworkx(self,nx_type='graph'):
|
def asnetworkx(self,nx_type='graph'):
|
||||||
dim = self.get_dim_name()[0]
|
dim = self.get_dim_name()[0]
|
||||||
ids = self.get_identifiers(dim)
|
ids = self.get_identifiers(dim,sorted=True)
|
||||||
adj_mat = self.asarray()
|
adj_mat = self.asarray()
|
||||||
G = self._graph_from_adj_matrix(adj_mat,labels=ids)
|
G = self._graph_from_adj_matrix(adj_mat,labels=ids)
|
||||||
self.has_graph = True
|
self.has_graph = True
|
||||||
|
@ -271,11 +271,6 @@ class GraphDataset(Dataset):
|
||||||
return G
|
return G
|
||||||
|
|
||||||
Dataset._all_dims=set()
|
Dataset._all_dims=set()
|
||||||
|
|
||||||
class Selection:
|
|
||||||
"""Handles selected identifiers along each dimension of a dataset"""
|
|
||||||
def __init__(self):
|
|
||||||
self.current_selection={}
|
|
||||||
|
|
||||||
class ReverseDict(dict):
|
class ReverseDict(dict):
|
||||||
"""
|
"""
|
||||||
|
@ -300,7 +295,7 @@ def to_file(filepath,dataset,name=None):
|
||||||
"""
|
"""
|
||||||
if not name:
|
if not name:
|
||||||
name = dataset._name
|
name = dataset._name
|
||||||
data = shelve.open(filepath,protocol=2)
|
data = shelve.open(filepath,flag='c',protocol=2)
|
||||||
if data: #we have an append
|
if data: #we have an append
|
||||||
names = data.keys()
|
names = data.keys()
|
||||||
if name in names:
|
if name in names:
|
||||||
|
@ -311,7 +306,7 @@ def to_file(filepath,dataset,name=None):
|
||||||
|
|
||||||
def from_file(filepath):
|
def from_file(filepath):
|
||||||
"""Read dataset from file """
|
"""Read dataset from file """
|
||||||
data = shelve.open(filepath)
|
data = shelve.open(filepath,flag='r')
|
||||||
out_data = []
|
out_data = []
|
||||||
for name in data.keys():
|
for name in data.keys():
|
||||||
sub_data = data[name]
|
sub_data = data[name]
|
||||||
|
@ -324,3 +319,7 @@ def from_file(filepath):
|
||||||
|
|
||||||
return out_data
|
return out_data
|
||||||
|
|
||||||
|
class Selection:
|
||||||
|
"""Handles selected identifiers along each dimension of a dataset"""
|
||||||
|
def __init__(self):
|
||||||
|
self.current_selection={}
|
||||||
|
|
|
@ -80,6 +80,8 @@ class FluentApp:
|
||||||
self.init_gui()
|
self.init_gui()
|
||||||
|
|
||||||
def change_plot(self, plot):
|
def change_plot(self, plot):
|
||||||
|
# add current selection to new plot
|
||||||
|
plot.selection_changed(self.project.get_selection())
|
||||||
pt = self.widget_tree.get_widget('main_view')
|
pt = self.widget_tree.get_widget('main_view')
|
||||||
pt.insert_view(plot)
|
pt.insert_view(plot)
|
||||||
|
|
||||||
|
|
|
@ -18,7 +18,6 @@ class NavigatorView (gtk.TreeView):
|
||||||
|
|
||||||
# various properties
|
# various properties
|
||||||
self.set_headers_visible(False)
|
self.set_headers_visible(False)
|
||||||
|
|
||||||
# Selection Mode
|
# Selection Mode
|
||||||
self.get_selection().set_mode(gtk.SELECTION_MULTIPLE)
|
self.get_selection().set_mode(gtk.SELECTION_MULTIPLE)
|
||||||
self.get_selection().set_select_function(self.is_selectable)
|
self.get_selection().set_select_function(self.is_selectable)
|
||||||
|
@ -29,11 +28,11 @@ class NavigatorView (gtk.TreeView):
|
||||||
# self.connect('cursor_changed', self.cursor_changed_handler)
|
# self.connect('cursor_changed', self.cursor_changed_handler)
|
||||||
self.connect('row_activated', self.row_activated_handler)
|
self.connect('row_activated', self.row_activated_handler)
|
||||||
|
|
||||||
textrenderer = gtk.CellRendererText()
|
self.textrenderer = textrenderer = gtk.CellRendererText()
|
||||||
|
textrenderer.set_property('foreground_set',True)
|
||||||
self.object_col = gtk.TreeViewColumn('Object')
|
self.object_col = gtk.TreeViewColumn('Object')
|
||||||
self.object_col.pack_start(textrenderer)
|
self.object_col.pack_start(textrenderer,expand=False)
|
||||||
self.object_col.set_attributes(textrenderer, cell_background=3, foreground = 4, text=0)
|
self.object_col.set_attributes(textrenderer, cell_background=3, foreground=4, text=0)
|
||||||
self.append_column(self.object_col)
|
self.append_column(self.object_col)
|
||||||
|
|
||||||
# send events to plots / itself
|
# send events to plots / itself
|
||||||
|
@ -46,12 +45,11 @@ class NavigatorView (gtk.TreeView):
|
||||||
|
|
||||||
# sets data for drag event.
|
# sets data for drag event.
|
||||||
def slot_drag_data(self,treeview,context,selection,target_id,etime):
|
def slot_drag_data(self,treeview,context,selection,target_id,etime):
|
||||||
treeselection = treeview.get_selection()
|
treeselection = treeview.get_selection()
|
||||||
model, paths = treeselection.get_selected_rows()
|
model, paths = treeselection.get_selected_rows()
|
||||||
if paths:
|
if paths:
|
||||||
self.data_tree.drag_data_get(paths[0], selection)
|
self.data_tree.drag_data_get(paths[0], selection)
|
||||||
|
|
||||||
|
|
||||||
def add_project(self, project):
|
def add_project(self, project):
|
||||||
self.project = project
|
self.project = project
|
||||||
self.data_tree = project.data_tree
|
self.data_tree = project.data_tree
|
||||||
|
@ -69,12 +67,13 @@ class NavigatorView (gtk.TreeView):
|
||||||
|
|
||||||
# selection changed, setting current_data ojbects
|
# selection changed, setting current_data ojbects
|
||||||
def selection_changed_handler(self, selection):
|
def selection_changed_handler(self, selection):
|
||||||
|
|
||||||
# update prev selection right away in case of multiple events
|
# update prev selection right away in case of multiple events
|
||||||
model, paths = selection.get_selected_rows()
|
model, paths = selection.get_selected_rows()
|
||||||
tmp = self._previous_selection
|
if not paths: # a plot is marked: do nothing
|
||||||
|
return
|
||||||
|
|
||||||
|
tmp = self._previous_selection
|
||||||
self._previous_selection = paths
|
self._previous_selection = paths
|
||||||
|
|
||||||
# set timestamp on newly selected objects
|
# set timestamp on newly selected objects
|
||||||
[self.data_tree.set_value(self.data_tree.get_iter(path),5,time.time()) for path in paths if path not in tmp]
|
[self.data_tree.set_value(self.data_tree.get_iter(path),5,time.time()) for path in paths if path not in tmp]
|
||||||
|
|
||||||
|
@ -99,7 +98,6 @@ class NavigatorView (gtk.TreeView):
|
||||||
|
|
||||||
if not (treestore.get_value(iter,2) or treestore.get_value(iter,1)):
|
if not (treestore.get_value(iter,2) or treestore.get_value(iter,1)):
|
||||||
return
|
return
|
||||||
|
|
||||||
self.expand_to_path(pos)
|
self.expand_to_path(pos)
|
||||||
|
|
||||||
if isinstance(obj,dataset.Dataset):
|
if isinstance(obj,dataset.Dataset):
|
||||||
|
@ -121,7 +119,7 @@ class NavigatorView (gtk.TreeView):
|
||||||
d.set_default_response(gtk.BUTTONS_OK)
|
d.set_default_response(gtk.BUTTONS_OK)
|
||||||
d.run()
|
d.run()
|
||||||
d.destroy()
|
d.destroy()
|
||||||
|
|
||||||
def row_activated_handler(self, widget, path, column):
|
def row_activated_handler(self, widget, path, column):
|
||||||
tree_iter = self.data_tree.get_iter(path)
|
tree_iter = self.data_tree.get_iter(path)
|
||||||
obj = self.data_tree.get_value(tree_iter, 2)
|
obj = self.data_tree.get_value(tree_iter, 2)
|
||||||
|
|
|
@ -238,6 +238,7 @@ class Plot (gtk.Frame):
|
||||||
self.fig = Figure(figsize=(5,4), dpi=72)
|
self.fig = Figure(figsize=(5,4), dpi=72)
|
||||||
self.canvas = FigureCanvas(self.fig)
|
self.canvas = FigureCanvas(self.fig)
|
||||||
self.fig.set_facecolor('white')
|
self.fig.set_facecolor('white')
|
||||||
|
|
||||||
def get_title(self):
|
def get_title(self):
|
||||||
return self.title
|
return self.title
|
||||||
|
|
||||||
|
@ -394,6 +395,8 @@ class LineViewPlot(Plot):
|
||||||
ps: slow (cant get linecollection and blit to work)
|
ps: slow (cant get linecollection and blit to work)
|
||||||
"""
|
"""
|
||||||
def __init__(self, dataset,major_axis=1,minor_axis=None, name="Line view"):
|
def __init__(self, dataset,major_axis=1,minor_axis=None, name="Line view"):
|
||||||
|
self.use_blit = False
|
||||||
|
self._last_index = []
|
||||||
self._data = dataset.asarray()
|
self._data = dataset.asarray()
|
||||||
self.dataset = dataset
|
self.dataset = dataset
|
||||||
Plot.__init__(self, name)
|
Plot.__init__(self, name)
|
||||||
|
@ -407,7 +410,10 @@ class LineViewPlot(Plot):
|
||||||
x_axis = scipy.arrayrange(self._data.shape[minor_axis])
|
x_axis = scipy.arrayrange(self._data.shape[minor_axis])
|
||||||
for i in range(self._data.shape[major_axis]):
|
for i in range(self._data.shape[major_axis]):
|
||||||
yi = scipy.take(self._data,[i],axis=major_axis)
|
yi = scipy.take(self._data,[i],axis=major_axis)
|
||||||
l, = self.ax.plot(x_axis,yi,'k',alpha=.05,animated=True)
|
if self.use_blit:
|
||||||
|
l,=self.ax.plot(x_axis,yi,'k',alpha=.05,animated=True)
|
||||||
|
else:
|
||||||
|
l,=self.ax.plot(x_axis,yi,'k',alpha=.05)
|
||||||
self.line_collection[i] = l
|
self.line_collection[i] = l
|
||||||
|
|
||||||
self.add(self.canvas)
|
self.add(self.canvas)
|
||||||
|
@ -427,18 +433,33 @@ class LineViewPlot(Plot):
|
||||||
def selection_changed(self, selection):
|
def selection_changed(self, selection):
|
||||||
ids = selection[self.current_dim] # current identifiers
|
ids = selection[self.current_dim] # current identifiers
|
||||||
index = self.dataset.get_indices(self.current_dim, ids)
|
index = self.dataset.get_indices(self.current_dim, ids)
|
||||||
if self._background is None:
|
if self.use_blit:
|
||||||
print "background needs copy"
|
if self._background is None:
|
||||||
self._background = self.canvas.copy_from_bbox(self.ax.bbox)
|
self._last_index = None
|
||||||
print self.ax.bbox.get_bounds()
|
self._background = self.canvas.copy_from_bbox(self.ax.bbox)
|
||||||
self.canvas.restore_region(self._background)
|
|
||||||
|
self.canvas.restore_region(self._background)
|
||||||
if index:
|
if index:
|
||||||
|
if self._last_index:
|
||||||
|
for i in self._last_index:
|
||||||
|
# if not using blit: reset last selection
|
||||||
|
self.ax.lines[i].set_color('k')
|
||||||
|
self.ax.lines[i].set_alpha(.05)
|
||||||
|
self.ax.lines[i].set_zorder(1)
|
||||||
for i in index:
|
for i in index:
|
||||||
self.line_collection[i].set_visible(True)
|
self.ax.lines[i].set_color('r')
|
||||||
self.line_collection[i].set_color('r')
|
self.ax.lines[i].set_alpha(1.0)
|
||||||
self.line_collection[i].set_alpha(1.0)
|
self.ax.lines[i].set_visible(True)
|
||||||
self.ax.draw_artist(self.line_collection[i])
|
self.ax.lines[i].set_zorder(3)
|
||||||
self.canvas.blit()
|
if self.use_blit:
|
||||||
|
self.ax.draw_artist(self.ax.lines[i])
|
||||||
|
#else:
|
||||||
|
# self.ax.add_line(self.line_collection[i])
|
||||||
|
self._last_index = index
|
||||||
|
if self.use_blit:
|
||||||
|
self.canvas.blit()
|
||||||
|
else:
|
||||||
|
self.canvas.draw()
|
||||||
|
|
||||||
class ScatterMarkerPlot(Plot):
|
class ScatterMarkerPlot(Plot):
|
||||||
"""The ScatterMarkerPlot is faster than regular scatterplot, but
|
"""The ScatterMarkerPlot is faster than regular scatterplot, but
|
||||||
|
@ -446,9 +467,14 @@ has no color and size options."""
|
||||||
def __init__(self, dataset_1, dataset_2, id_dim, sel_dim, id_1, id_2, name="Scatter plot"):
|
def __init__(self, dataset_1, dataset_2, id_dim, sel_dim, id_1, id_2, name="Scatter plot"):
|
||||||
Plot.__init__(self, name)
|
Plot.__init__(self, name)
|
||||||
self.ax = ax = self.fig.add_subplot(111)
|
self.ax = ax = self.fig.add_subplot(111)
|
||||||
|
#self.ax.set_position([0.01,0.01,.99,.99])
|
||||||
|
self.ax.set_xticks([])
|
||||||
|
self.ax.set_yticks([])
|
||||||
|
self.ax.axhline(0,color='k',lw=1.5,zorder=0)
|
||||||
|
self.ax.axvline(0,color='k',lw=1.5,zorder=0)
|
||||||
self.current_dim = id_dim
|
self.current_dim = id_dim
|
||||||
self.dataset_1 = dataset_1
|
self.dataset_1 = dataset_1
|
||||||
|
self._selection_line = None
|
||||||
x_index = dataset_1[sel_dim][id_1]
|
x_index = dataset_1[sel_dim][id_1]
|
||||||
y_index = dataset_2[sel_dim][id_2]
|
y_index = dataset_2[sel_dim][id_2]
|
||||||
|
|
||||||
|
@ -493,9 +519,9 @@ has no color and size options."""
|
||||||
xdata_new = scipy.take(self.xaxis_data, index) #take data
|
xdata_new = scipy.take(self.xaxis_data, index) #take data
|
||||||
ydata_new = scipy.take(self.yaxis_data, index)
|
ydata_new = scipy.take(self.yaxis_data, index)
|
||||||
#remove old selection
|
#remove old selection
|
||||||
if len(self.ax.lines)>1:
|
if self._selection_line:
|
||||||
del self.ax.lines[-1]
|
self.ax.lines.remove(self._selection_line)
|
||||||
self.ax.plot(xdata_new,ydata_new,'ok')
|
self._selection_line, = self.ax.plot(xdata_new,ydata_new,'or')
|
||||||
self._toolbar.forward() #update data lims before draw
|
self._toolbar.forward() #update data lims before draw
|
||||||
self.canvas.draw()
|
self.canvas.draw()
|
||||||
|
|
||||||
|
@ -505,6 +531,7 @@ has no color and size options."""
|
||||||
def __init__(self, dataset_1, dataset_2, id_dim, sel_dim, id_1, id_2,c='b',s=30, name="Scatter plot"):
|
def __init__(self, dataset_1, dataset_2, id_dim, sel_dim, id_1, id_2,c='b',s=30, name="Scatter plot"):
|
||||||
Plot.__init__(self, name)
|
Plot.__init__(self, name)
|
||||||
self.ax = ax = self.fig.add_subplot(111)
|
self.ax = ax = self.fig.add_subplot(111)
|
||||||
|
#self.ax.set_position([0.01,0.01,.99,.99])
|
||||||
self.current_dim = id_dim
|
self.current_dim = id_dim
|
||||||
self.dataset_1 = dataset_1
|
self.dataset_1 = dataset_1
|
||||||
|
|
||||||
|
@ -516,8 +543,8 @@ has no color and size options."""
|
||||||
|
|
||||||
ax.scatter(self.xaxis_data,self.yaxis_data,s=s,c=c,faceted=False,edgecolor='k')
|
ax.scatter(self.xaxis_data,self.yaxis_data,s=s,c=c,faceted=False,edgecolor='k')
|
||||||
ax.set_title(self.get_title())
|
ax.set_title(self.get_title())
|
||||||
ax.set_xlabel("%s - %s" % (sel_dim, id_1))
|
#ax.set_xlabel("%s - %s" % (sel_dim, id_1))
|
||||||
ax.set_ylabel("%s - %s" % (sel_dim, id_2))
|
#ax.set_ylabel("%s - %s" % (sel_dim, id_2))
|
||||||
|
|
||||||
# collection
|
# collection
|
||||||
self.coll = ax.collections[0]
|
self.coll = ax.collections[0]
|
||||||
|
@ -553,8 +580,10 @@ has no color and size options."""
|
||||||
ids = selection[self.current_dim] # current identifiers
|
ids = selection[self.current_dim] # current identifiers
|
||||||
index = self.dataset_1.get_indices(self.current_dim, ids)
|
index = self.dataset_1.get_indices(self.current_dim, ids)
|
||||||
lw = scipy.zeros(self.xaxis_data.shape,'f')
|
lw = scipy.zeros(self.xaxis_data.shape,'f')
|
||||||
|
zo = lw.copy() + 1 #z-order
|
||||||
scipy.put(lw,index,2.)
|
scipy.put(lw,index,2.)
|
||||||
self.coll.set_linewidth(lw)
|
self.coll.set_linewidth(lw)
|
||||||
|
self.coll.set_zorder(zo)
|
||||||
self._toolbar.forward() #update data lims before draw
|
self._toolbar.forward() #update data lims before draw
|
||||||
self.canvas.draw()
|
self.canvas.draw()
|
||||||
|
|
||||||
|
@ -598,6 +627,9 @@ class NetworkPlot(Plot):
|
||||||
kw.pop('node_color')
|
kw.pop('node_color')
|
||||||
|
|
||||||
self.ax = self.fig.add_subplot(111)
|
self.ax = self.fig.add_subplot(111)
|
||||||
|
self.ax.set_position([0.01,0.01,.99,.99])
|
||||||
|
self.ax.set_xticks([])
|
||||||
|
self.ax.set_yticks([])
|
||||||
# FIXME: ax shouldn't be in kw at all
|
# FIXME: ax shouldn't be in kw at all
|
||||||
if kw.has_key('ax'):
|
if kw.has_key('ax'):
|
||||||
kw.pop('ax')
|
kw.pop('ax')
|
||||||
|
@ -659,7 +691,7 @@ class NetworkPlot(Plot):
|
||||||
self.ax.clear()
|
self.ax.clear()
|
||||||
networkx.draw_networkx_edges(self.graph, edge_list=self.graph.edges(), \
|
networkx.draw_networkx_edges(self.graph, edge_list=self.graph.edges(), \
|
||||||
ax=self.ax, **self.keywords)
|
ax=self.ax, **self.keywords)
|
||||||
|
networkx.draw_networkx_labels(self.graph,**self.keywords)
|
||||||
if unselected_nodes:
|
if unselected_nodes:
|
||||||
networkx.draw_networkx_nodes(self.graph, nodelist=unselected_nodes, \
|
networkx.draw_networkx_nodes(self.graph, nodelist=unselected_nodes, \
|
||||||
node_color='r', node_size=unselected_sizes, ax=self.ax, **self.keywords)
|
node_color='r', node_size=unselected_sizes, ax=self.ax, **self.keywords)
|
||||||
|
|
|
@ -2,6 +2,7 @@
|
||||||
import scipy
|
import scipy
|
||||||
import gobject
|
import gobject
|
||||||
import gtk
|
import gtk
|
||||||
|
import logger
|
||||||
from system import dataset, plots
|
from system import dataset, plots
|
||||||
|
|
||||||
class Project:
|
class Project:
|
||||||
|
@ -70,11 +71,17 @@ class Project:
|
||||||
it = self.data_tree_insert(parent_iter, fun, None, "grey","black")
|
it = self.data_tree_insert(parent_iter, fun, None, "grey","black")
|
||||||
|
|
||||||
for d in data:
|
for d in data:
|
||||||
if isinstance(d, dataset.Dataset):
|
if isinstance(d, dataset.GraphDataset):
|
||||||
self.add_dataset(d)
|
self.add_dataset(d)
|
||||||
self.data_tree_insert(it, d.get_name(), d, "white", "blue")
|
self.data_tree_insert(it, d.get_name(), d, "LightPink", "black")
|
||||||
|
elif isinstance(d,dataset.CategoryDataset):
|
||||||
|
self.add_dataset(d)
|
||||||
|
self.data_tree_insert(it, d.get_name(), d, "LightSalmon", "black")
|
||||||
|
elif isinstance(d, dataset.Dataset):
|
||||||
|
self.add_dataset(d)
|
||||||
|
self.data_tree_insert(it, d.get_name(), d, "LightSkyBlue", "black")
|
||||||
elif isinstance(d, plots.Plot):
|
elif isinstance(d, plots.Plot):
|
||||||
self.data_tree_insert(it, d.get_title(), d, "white", "dark green")
|
self.data_tree_insert(it, d.get_title(), d, "PaleGreen", "black")
|
||||||
d.set_selection_listener(self.set_selection)
|
d.set_selection_listener(self.set_selection)
|
||||||
self._selection_observers.append(d)
|
self._selection_observers.append(d)
|
||||||
|
|
||||||
|
@ -91,6 +98,7 @@ class Project:
|
||||||
|
|
||||||
def add_dataset(self,dataset):
|
def add_dataset(self,dataset):
|
||||||
"""Appends a new Dataset to the project."""
|
"""Appends a new Dataset to the project."""
|
||||||
|
logger.log('debug','Adding dataset: %s' %dataset.get_name())
|
||||||
self.datasets.append(dataset)
|
self.datasets.append(dataset)
|
||||||
for dim_name in dataset.get_all_dims():
|
for dim_name in dataset.get_all_dims():
|
||||||
if dim_name not in self.dim_names:
|
if dim_name not in self.dim_names:
|
||||||
|
|
|
@ -41,7 +41,7 @@ def workflow_list():
|
||||||
except Exception, e:
|
except Exception, e:
|
||||||
logger.log('warning', 'Cannot load workflow: %s' % fn)
|
logger.log('warning', 'Cannot load workflow: %s' % fn)
|
||||||
logger.log('warning', e)
|
logger.log('warning', e)
|
||||||
|
|
||||||
return retval
|
return retval
|
||||||
|
|
||||||
class Workflow:
|
class Workflow:
|
||||||
|
|
|
@ -6,6 +6,8 @@ from scipy import log2,transpose,dot,divide,shape,mean,resize,zeros
|
||||||
from scipy.linalg import svd,inv,norm,get_blas_funcs,eig
|
from scipy.linalg import svd,inv,norm,get_blas_funcs,eig
|
||||||
from system import dataset, logger, plots
|
from system import dataset, logger, plots
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
class PCAWorkflow(wf.Workflow):
|
class PCAWorkflow(wf.Workflow):
|
||||||
name = 'PCA Workflow'
|
name = 'PCA Workflow'
|
||||||
ident = 'pca'
|
ident = 'pca'
|
||||||
|
@ -96,9 +98,9 @@ class PCAFunction(Function):
|
||||||
row_ids = data.get_identifiers('genes')
|
row_ids = data.get_identifiers('genes')
|
||||||
col_ids = data.get_identifiers('samples')
|
col_ids = data.get_identifiers('samples')
|
||||||
|
|
||||||
T = dataset.Dataset(T,[('samples',col_ids) ,comp_def])
|
T = dataset.Dataset(T,[('samples',col_ids) ,comp_def],name='T2')
|
||||||
P = dataset.Dataset(P,[('genes',row_ids),comp_def])
|
P = dataset.Dataset(P,[('genes',row_ids),comp_def],name='P')
|
||||||
E = dataset.Dataset(E,[('samples',col_ids),('genes',row_ids)])
|
E = dataset.Dataset(E,[('samples',col_ids),('genes',row_ids)],name='E')
|
||||||
#tsq = dataset.Dataset(tsq,[singel_def,data_ids[1])
|
#tsq = dataset.Dataset(tsq,[singel_def,data_ids[1])
|
||||||
|
|
||||||
## plots
|
## plots
|
||||||
|
|
Reference in New Issue