Python DataCollection.append方法代码示例

# 需要导入模块: from glue.core.data_collection import DataCollection [as 别名]
# 或者: from glue.core.data_collection.DataCollection import append [as 别名]
def load_data_files(datafiles):
    """Load data files and return a DataCollection"""
    from glue.core.data_collection import DataCollection
    from glue.core.data_factories import auto_data, load_data

    dc = DataCollection()
    for df in datafiles:
        dc.append(load_data(df, auto_data))
    return dc

# 需要导入模块: from glue.core.data_collection import DataCollection [as 别名]
# 或者: from glue.core.data_collection.DataCollection import append [as 别名]
                            data.hub.broadcast(msg)
                else:
                    pc = ParsedCommand(self._state[data][cid_new]['equation']._cmd, components)
                    link = ParsedComponentLink(cid_new, pc)
                    data.add_component_link(link)

            # Findally, reorder components as needed
            data.reorder_components(cids_all)

        super(ArithmeticEditorWidget, self).accept()


if __name__ == "__main__":  # pragma: nocover

    from glue.utils.qt import get_qapp
    app = get_qapp()

    import numpy as np

    from glue.core.data import Data
    from glue.core.data_collection import DataCollection

    x = np.random.random((5, 5))
    y = x * 3
    dc = DataCollection()
    dc.append(Data(label='test1', x=x, y=y))
    dc.append(Data(label='test2', a=x, b=y))

    widget = ArithmeticEditorWidget(dc)
    widget.exec_()

# 需要导入模块: from glue.core.data_collection import DataCollection [as 别名]
# 或者: from glue.core.data_collection.DataCollection import append [as 别名]
class TestCommunication(object):

    def setup_method(self, method):
        self.data = Data(x=[1, 2, 3, 2, 2, 3, 1])
        figure = MagicMock()
        self.collect = DataCollection()
        self.client = HistogramClient(self.collect, figure)
        self.axes = self.client.axes
        self.hub = self.collect.hub
        self.connect()

    def draw_count(self):
        return self.axes.figure.canvas.draw.call_count

    def connect(self):
        self.client.register_to_hub(self.hub)
        self.collect.register_to_hub(self.hub)

    def test_ignore_data_add_message(self):
        self.collect.append(self.data)
        assert not (self.client.layer_present(self.data))

    def test_update_data_ignored_if_data_not_present(self):
        self.collect.append(self.data)
        ct0 = self.draw_count()
        self.data.style.color = 'blue'
        assert self.draw_count() == ct0

    def test_update_data_processed_if_data_present(self):
        self.collect.append(self.data)
        self.client.add_layer(self.data)
        ct0 = self.draw_count()
        self.data.style.color = 'blue'
        assert self.draw_count() > ct0

    def test_add_subset_ignored_if_data_not_present(self):
        self.collect.append(self.data)
        sub = self.data.new_subset()
        assert not (self.client.layer_present(sub))

    def test_add_subset_processed_if_data_present(self):
        self.collect.append(self.data)
        self.client.add_layer(self.data)
        sub = self.data.new_subset()
        assert (self.client.layer_present(sub))

    def test_update_subset_ignored_if_not_present(self):
        self.collect.append(self.data)
        self.client.add_layer(self.data)
        sub = self.data.new_subset()
        self.client.remove_layer(sub)
        ct0 = self.draw_count()
        sub.style.color = 'blue'
        assert self.draw_count() == ct0

    def test_update_subset_processed_if_present(self):
        self.collect.append(self.data)
        self.client.add_layer(self.data)
        sub = self.data.new_subset()
        ct0 = self.draw_count()
        sub.style.color = 'blue'
        assert self.draw_count() > ct0

    def test_data_remove_message(self):
        self.collect.append(self.data)
        self.client.add_layer(self.data)
        self.collect.remove(self.data)
        assert not self.client.layer_present(self.data)

    def test_subset_remove_message(self):
        self.collect.append(self.data)
        self.client.add_layer(self.data)
        sub = self.data.new_subset()
        assert self.client.layer_present(sub)
        sub.delete()
        assert not self.client.layer_present(sub)

# 需要导入模块: from glue.core.data_collection import DataCollection [as 别名]
# 或者: from glue.core.data_collection.DataCollection import append [as 别名]
class TestCategoricalHistogram(TestHistogramClient):

    def setup_method(self, method):
        self.data = Data(y=[-1, -1, -1, -2, -2, -2, -3, -5, -7])
        self.data.add_component(CategoricalComponent(['a', 'a', 'a', 'b', 'c', 'd', 'd', 'e', 'f']), 'x')
        self.subset = self.data.new_subset()
        self.collect = DataCollection(self.data)
        self.client = HistogramClient(self.collect, FIGURE)
        self.axes = self.client.axes
        FIGURE.canvas.draw = MagicMock()
        assert FIGURE.canvas.draw.call_count == 0

    def test_xlimit_single_set(self):
        self.client.add_layer(self.data)
        self.client.set_component(self.data.id['x'])

        self.client.xlimits = (None, 5)
        assert self.client.xlimits == (-0.5, 5)
        self.client.xlimits = (3, None)
        assert self.client.xlimits == (3, 5)

    def test_default_xlimits(self):
        self.client.add_layer(self.data)
        self.client.set_component(self.data.id['x'])
        assert self.client.xlimits == (-0.5, 5.5)
        self.client.set_component(self.data.id['y'])
        assert self.client.xlimits == (-7, -1)

    def test_change_default_bins(self):
        self.client.add_layer(self.data)
        self.client.set_component(self.data.id['x'])
        assert self.client.nbins == 6

    def test_tick_labels(self):
        self.client.add_layer(self.data)
        self.client.set_component(self.data.id['x'])
        correct_labels = ['a', 'b', 'c', 'd', 'e', 'f']
        formatter = self.client.axes.xaxis.get_major_formatter()
        xlabels = [formatter.format_data(pos) for pos in range(6)]
        assert correct_labels == xlabels

    def test_apply_roi(self):
        self.client.add_layer(self.data)
        self.client.set_component(self.data.id['x'])
        # bins are 1...4

        self.data.edit_subset = [self.data.subsets[0]]

        roi = MagicMock()
        roi.to_polygon.return_value = [1.2, 2, 4], [2, 3, 4]

        self.client.apply_roi(roi)
        state = self.data.subsets[0].subset_state
        assert isinstance(state, CategoricalROISubsetState)
        np.testing.assert_equal(self.data.subsets[0].subset_state.roi.categories,
                                np.array(['b', 'c', 'd', 'e']))

    # REMOVED TESTS
    def test_xlog_axes_labels(self):
        """ log-scale doesn't make sense for categorical data"""
        pass

    def test_xlog_snaps_limits(self):
        """ log-scale doesn't make sense for categorical data"""
        pass

    def test_apply_roi_xlog(self):
        """ log-scale doesn't make sense for categorical data"""
        pass

    def test_nbin_override_persists_over_attribute_change(self):
        # regression test for #398
        self.collect.append(self.data)
        self.client.add_layer(self.data)
        self.client.set_component(self.data.id['x'])
        self.client.nbins = 7
        self.client.set_component(self.data.id['y'])
        assert self.client.nbins == 7

# 需要导入模块: from glue.core.data_collection import DataCollection [as 别名]
# 或者: from glue.core.data_collection.DataCollection import append [as 别名]

#.........这里部分代码省略.........

    def plot_data(self, layer):
        """ Return the data bounds for a given layer (data or subset)
        Output format: [xmin, xmax], [ymin, ymax]
        """
        client = self.client
        x, y = client.artists[layer][0].get_data()
        xmin = x.min()
        xmax = x.max()
        ymin = y.min()
        ymax = y.max()
        return [xmin, xmax], [ymin, ymax]

    def plot_limits(self):
        """ Return the plot limits
        Output format [xmin, xmax], [ymin, ymax]
        """
        ax = self.client.axes
        xlim = ax.get_xlim()
        ylim = ax.get_ylim()
        return (min(xlim), max(xlim)), (min(ylim), max(ylim))

    def assert_layer_inside_limits(self, layer):
        """Assert that points of a layer are within plot limits """
        xydata = self.plot_data(layer)
        xylimits = self.plot_limits()
        assert xydata[0][0] >= xylimits[0][0]
        assert xydata[1][0] >= xylimits[1][0]
        assert xydata[0][1] <= xylimits[0][1]
        assert xydata[1][1] <= xylimits[1][1]

    def setup_2d_data(self):
        d = Data(x=[[1, 2], [3, 4]], y=[[2, 4], [6, 8]])
        self.collect.append(d)
        self.client.add_layer(d)
        self.client.xatt = d.id['x']
        self.client.yatt = d.id['y']
        return d

    def add_data(self, data=None):
        if data is None:
            data = self.data[0]
        data.edit_subset = data.new_subset()
        self.collect.append(data)
        self.client.add_data(data)
        return data

    def add_data_and_attributes(self):
        data = self.add_data()
        data.edit_subset = data.new_subset()
        self.client.xatt = self.ids[0]
        self.client.yatt = self.ids[1]
        return data

    def is_first_in_front(self, front, back):
        z1 = self.client.get_layer_order(front)
        z2 = self.client.get_layer_order(back)
        return z1 > z2

    def connect(self):
        self.client.register_to_hub(self.hub)
        self.collect.register_to_hub(self.hub)

    def layer_drawn(self, layer):
        return self.client.is_layer_present(layer) and \
            all(a.enabled and a.visible for a in self.client.artists[layer])

# 需要导入模块: from glue.core.data_collection import DataCollection [as 别名]
# 或者: from glue.core.data_collection.DataCollection import append [as 别名]

    def receive_message(self, message):
        """ Receives each DataMessage relay """
        print "    MyClient received a message \n"


# create objects
hub = Hub()
client = MyClient()
data = Data()
subset = data.new_subset()
data_collection = DataCollection()

# connect them to each other
data_collection.append(data)
data_collection.register_to_hub(hub)
client.register_to_hub(hub)

# manually send a DataMessage. Relayed to MyClient
print 'Manually sending DataMessage'
message = DataMessage(data)
hub.broadcast(message)

#modify the data object. Automatically generates a DataMessage
print 'Automatically triggering DataMessage'
data.label = "New label"

#send a SubsetMessage to the Hub.
print 'Manually sending SubsetMessage'
message = SubsetMessage(subset)