def test_heatmap_construct_and_sort(self):
data = [(chr(65+i),chr(97+j), i*j) for i in range(3) for j in [2, 0, 1] if i!=j]
hmap = HeatMap(data).sort()
dataset = Dataset({'x': ['A', 'B', 'C'], 'y': ['a', 'b', 'c'],
'z': [[np.NaN, 0, 0], [0, np.NaN, 2], [0, 2, np.NaN]]},
kdims=['x', 'y'], vdims=['z'])
self.assertEqual(hmap.gridded, dataset)
def test_heatmap_construct_unsorted(self):
hmap = HeatMap([('B', 'b', 2), ('A', 'a', 1)])
dataset = Dataset(
{
'x': ['B', 'A'],
'y': ['b', 'a'],
'z': [[2, np.NaN], [np.NaN, 1]]
},
kdims=['x', 'y'],
vdims=['z'])
self.assertEqual(hmap.gridded, dataset)
def test_heatmap_construct(self):
hmap = HeatMap([('A', 'a', 1), ('B', 'b', 2)])
dataset = Dataset(
{
'x': ['A', 'B'],
'y': ['a', 'b'],
'z': [[1, np.NaN], [np.NaN, 2]]
},
kdims=['x', 'y'],
vdims=['z'])
self.assertEqual(hmap.gridded, dataset)
def test_heatmap_construct_partial_sorted(self):
data = [(chr(65 + i), chr(97 + j), i * j) for i in range(3)
for j in [2, 0, 1] if i != j]
hmap = HeatMap(data)
dataset = Dataset(
{
'x': ['A', 'B', 'C'],
'y': ['c', 'b', 'a'],
'z': [[0, 2, np.NaN], [np.NaN, 0, 0], [0, np.NaN, 2]]
},
kdims=['x', 'y'],
vdims=['z'],
label='unique')
self.assertEqual(hmap.gridded, dataset)
def test_heatmap_string_signature(self):
heatmap = HeatMap([], ['a', 'b'], 'c')
self.assertEqual(heatmap.kdims, [Dimension('a'), Dimension('b')])
self.assertEqual(heatmap.vdims, [Dimension('c')])
def view(self):
if self.reordering == "none":
result = to_liquid(df_original.copy().values)
hm = HeatMap(result).opts(tools=['tap', 'box_select', 'hover'],
active_tools=['box_select'],
height=self.height,
width=self.width,
xaxis=None,
yaxis=None,
cmap=self.color_palette,
colorbar=True,
toolbar='above')
# FOR LINKING TESTING
# current_data = hm.data
# table = Table(current_data)
# table.opts(height=500)
#
# if self.show_only_selection:
# SelectedDataLink(hm, table)
# else:
# SelectLink(hm, table)
# SelectLink(table, hm)
# return pn.Row(hm, table)
return hm
else:
inverted = invert_df(df.copy())
res_order, res_linkage = compute_serial_matrix(
inverted,
self.reordering,
dist_metric=self.metric,
calc_pdist=self.calc_pdist)
reordered_matrix_col = reordercol(inverted, res_order)
reordered_matrix = reorderrow(reordered_matrix_col, res_order)
dis_to_similarity(reordered_matrix)
result = to_liquid_2(reordered_matrix, inverted, res_order)
hm = HeatMap(result).opts(tools=['tap', 'box_select', 'hover'],
active_tools=['box_select'],
height=self.height,
width=self.width,
xaxis=None,
yaxis=None,
cmap=self.color_palette,
colorbar=True,
toolbar='above')
# FOR LINKING TESTING
# table = Table(hm.data)
# table.opts(height=500)
#
# if self.show_only_selection:
# SelectedDataLink(hm, table)
# else:
# SelectLink(hm, table)
# SelectLink(table, hm)
#
# return pn.Row(hm, table)
return hm