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current datset selection fix

This commit is contained in:
Arnar Flatberg 2006-04-21 09:23:05 +00:00
parent 7851048fb6
commit fc4e62f799
4 changed files with 36 additions and 15 deletions

2
fluent
View File

@ -77,7 +77,7 @@ class FluentApp:
def create_navigator_view(self, str1, str2, int1, int2): def create_navigator_view(self, str1, str2, int1, int2):
tree = self.project.data_tree tree = self.project.data_tree
self.navigator_view = navigator.NavigatorView(tree, self) self.navigator_view = navigator.NavigatorView(self.project, self)
self.navigator_view.show() self.navigator_view.show()
return self.navigator_view return self.navigator_view

View File

@ -3,13 +3,17 @@ import gtk
import gobject import gobject
import plots import plots
import logger import logger
import dataset
import project
class NavigatorView (gtk.TreeView): class NavigatorView (gtk.TreeView):
def __init__(self, nav, app): def __init__(self, project, app):
gtk.TreeView.__init__(self, nav) self.project = project
self.navigator = nav self.data_tree = project.data_tree
self.app = app self.app = app
gtk.TreeView.__init__(self, self.data_tree)
self.set_headers_visible(False) self.set_headers_visible(False)
self.connect('row-activated', self.row_activated_handler) self.connect('row-activated', self.row_activated_handler)
@ -20,8 +24,14 @@ class NavigatorView (gtk.TreeView):
logger.log('debug', 'Initializing naviagor window') logger.log('debug', 'Initializing naviagor window')
def row_activated_handler(self, widget, path, column): def row_activated_handler(self, widget, path, column):
iter = self.data_tree.get_iter(path)
iter = self.navigator.get_iter(path) obj = self.data_tree.get_value(iter, 2)
object = self.navigator.get_value(iter, 2) if isinstance(obj, plots.Plot):
logger.log('notice', 'Button pressed') logger.log('debug', 'Activating plot')
self.app.change_plot(object) self.app.change_plot(obj)
elif isinstance(obj, dataset.Dataset):
logger.log('debug', 'Selecting dataset')
self.project.set_current_data(obj)
else:
t = type(obj)
logger.log('debug', 'Datatype was %s. Don\'t know what to do.' % t)

View File

@ -87,3 +87,5 @@ class Project:
object.show() object.show()
return object return object
def set_current_data(self, obj):
self.current_data = obj

View File

@ -1,9 +1,10 @@
import gtk import gtk
import logger import logger
from workflow import * from workflow import *
from scipy import array from scipy import array,zeros
from data import read_affy_annot,read_mootha,data_dict_to_matrix from data import read_affy_annot,read_mootha,data_dict_to_matrix
import plots import plots
import dataset
class PCAWorkflow(Workflow): class PCAWorkflow(Workflow):
@ -12,7 +13,7 @@ class PCAWorkflow(Workflow):
self.name = 'PCAs Workflow' self.name = 'PCAs Workflow'
load = Stage('load', 'Load Data') load = Stage('load', 'Load Data')
load.add_function(Function('load_mootha', 'Load')) load.add_function(LoadMoothaData())
self.add_stage(load) self.add_stage(load)
preproc = Stage('preprocess', 'Preprocessing') preproc = Stage('preprocess', 'Preprocessing')
@ -113,6 +114,7 @@ class LoadMoothaData(Function):
f = open(filename) f = open(filename)
logger.log('notice', 'Loading expression file: %s' % filename) logger.log('notice', 'Loading expression file: %s' % filename)
self.file = f self.file = f
self.filename = filename
def on_response(self, dialog, response): def on_response(self, dialog, response):
if response == gtk.RESPONSE_OK: if response == gtk.RESPONSE_OK:
@ -122,16 +124,23 @@ class LoadMoothaData(Function):
def run(self, data): def run(self, data):
btns = ('Open', gtk.RESPONSE_OK, \ btns = ('Open', gtk.RESPONSE_OK, \
'Cancel', gtk.RESPONSE_CANCEL) 'Cancel', gtk.RESPONSE_CANCEL)
dialog = gtk.FileChooserDialog('Open Affy Annotation File', dialog = gtk.FileChooserDialog('Open diabetes expression File',
buttons=btns) buttons=btns)
dialog.connect('response', self.on_response) dialog.connect('response', self.on_response)
dialog.run() dialog.run()
dialog.destroy() dialog.destroy()
### Reading and parsing here ### Reading and parsing here
d,sample_names = read_mootha(self.file) d,sample_names = read_mootha()
x,gene_ids = data_dict_to_matrix(d) n_samps = len(sample_names)
n_genes = len(d.keys())
typecode = 'f'
x = zeros((n_samps,n_genes),typecode)
gene_ids = []
for i,(id,desc) in enumerate(d.items()):
gene_ids.append(id)
x[:,i] = desc[0].astype(typecode)
gene_def = ['genes',gene_ids] gene_def = ['genes',gene_ids]
sample_def = ['samples', sample_names] sample_def = ['samples', sample_names]
X = dataset.Dataset(x,[sample_def,gene_def]) # samples x genes X = dataset.Dataset(x,[sample_def,gene_def]) # samples x genes
return X return [X]