def test_groupby_has_artifacts(self):
df = pd.DataFrame([[5, 2], [2, 3], [2, 0]], columns=["A", "B"])
output = df.groupby(by="A")
options = RelationGraphOptions()
options.COLUMN_NODES = True
options.INDEX_NODES = True
options.ADJACENCY_EDGES = True
options.EQUALITY_EDGES = True
options.NODE_TYPES = True
options.INDEX_EDGES = True
rel_graph: RelationGraph = RelationGraph.build_relation_graph([df],
output,
options)
index_type_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.INDEX
]
column_type_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.COLUMN
]
self.assertEqual(len(index_type_nodes), 6)
self.assertEqual(len(column_type_nodes), 6)
def test_index_name_nodes(self):
df = pd.DataFrame({
'foo': ['one', 'one', 'one', 'two', 'two', 'two'],
'bar': ['A', 'B', 'C', 'A', 'B', 'C'],
'baz': [1, 2, 3, 4, 5, 6]
})
output = df.pivot(index='foo', columns='bar', values='baz')
options = RelationGraphOptions()
options.COLUMN_NODES = True
options.INDEX_NODES = True
options.INDEX_NAME_NODES = True
options.ADJACENCY_EDGES = True
options.EQUALITY_EDGES = True
options.NODE_TYPES = True
options.INDEX_EDGES = False
rel_graph: RelationGraph = RelationGraph.build_relation_graph([df],
output,
options)
index_name_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.INDEX_NAME
]
column_name_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.COL_INDEX_NAME
]
self.assertEqual(len(index_name_nodes), 1)
self.assertEqual(len(column_name_nodes), 1)
def test_series_has_idx_and_cols(self):
df = pd.DataFrame([[5, 2], [2, 3], [2, 0]], columns=["A", "B"])
options = RelationGraphOptions()
options.COLUMN_NODES = True
options.INDEX_NODES = True
options.ADJACENCY_EDGES = True
options.EQUALITY_EDGES = True
options.NODE_TYPES = True
options.INDEX_EDGES = True
rel_graph: RelationGraph = RelationGraph.build_relation_graph([df],
df["A"],
options)
index_type_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.INDEX
]
column_type_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.COLUMN
]
self.assertEqual(len(index_type_nodes), 6)
self.assertEqual(len(column_type_nodes), 3)
def test_no_spurious_for_list_arg(self):
df = pd.DataFrame([[5, 2], [2, 3], [2, 0]], columns=["A", "B"])
options = RelationGraphOptions()
options.COLUMN_NODES = True
options.INDEX_NODES = True
options.ADJACENCY_EDGES = True
options.EQUALITY_EDGES = True
options.NODE_TYPES = True
options.INDEX_EDGES = True
rel_graph: RelationGraph = RelationGraph.build_relation_graph(
[df, [1, 3, 4]], df, options)
index_type_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.INDEX
]
column_type_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.COLUMN
]
self.assertEqual(len(index_type_nodes), 6)
self.assertEqual(len(column_type_nodes), 4)
def test_index_name_equality_edges(self):
df = pd.DataFrame({
'foo': ['one', 'one', 'one', 'two', 'two', 'two'],
'bar': ['A', 'B', 'C', 'A', 'B', 'C'],
'baz': [1, 2, 3, 4, 5, 6]
})
output = df.pivot(index='foo', columns='bar', values='baz')
options = RelationGraphOptions()
options.COLUMN_NODES = True
options.INDEX_NODES = True
options.INDEX_NAME_NODES = True
options.ADJACENCY_EDGES = False
options.EQUALITY_EDGES = True
options.NODE_TYPES = True
options.INDEX_EDGES = False
rel_graph: RelationGraph = RelationGraph.build_relation_graph([df],
output,
options)
inp_col_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.COLUMN
and node.dfindex.startswith("I")
]
out_idx_name_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.INDEX_NAME
and node.dfindex.startswith("O")
]
out_col_idx_name_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.COL_INDEX_NAME
and node.dfindex.startswith("O")
]
def check_edge_exists(in_node: RelationGraphNode,
out_node: RelationGraphNode,
graph: RelationGraph):
for e in graph.edges:
if (e.node1 == in_node
and e.node2 == out_node) or (e.node1 == out_node
and e.node2 == in_node):
return True
return False
inp_foo_node = [i for i in inp_col_nodes if i.pos == (-1, 0)][0]
inp_bar_node = [i for i in inp_col_nodes if i.pos == (-1, 1)][0]
out_foo_node = [i for i in out_idx_name_nodes if i.pos == (-1, -1)][0]
out_bar_node = [
i for i in out_col_idx_name_nodes if i.pos == (-1, -1)
][0]
self.assertTrue(
check_edge_exists(inp_foo_node, out_foo_node, rel_graph))
self.assertTrue(
check_edge_exists(inp_bar_node, out_bar_node, rel_graph))
def test_groupby_input(self):
df = pd.DataFrame({
"Name": ["Alice", "Bob", "Mallory", "Mallory", "Bob", "Mallory"],
"City": [
"Seattle", "Seattle", "Portland", "Seattle", "Seattle",
"Portland"
]
})
input_ = df.groupby("Name")
output = input_.count().reset_index()
options = RelationGraphOptions()
options.NODE_TYPES = True
options.ADJACENCY_EDGES = False
rel_graph: RelationGraph = RelationGraph.build_relation_graph([input_],
output,
options)
rel_graph_edges = rel_graph.edges
alice_nodes_in = [
RelationGraphNode("I0", (0, 0), RelationGraphNodeType.STR)
]
alice_nodes_out = [
RelationGraphNode("O0", (0, 0), RelationGraphNodeType.STR)
]
bob_nodes_in = [
RelationGraphNode("I1", (0, 0), RelationGraphNodeType.STR),
RelationGraphNode("I1", (1, 0), RelationGraphNodeType.STR)
]
bob_nodes_out = [
RelationGraphNode("O0", (1, 0), RelationGraphNodeType.STR)
]
mallory_nodes_in = [
RelationGraphNode("I2", (0, 0), RelationGraphNodeType.STR),
RelationGraphNode("I2", (1, 0), RelationGraphNodeType.STR),
RelationGraphNode("I2", (2, 0), RelationGraphNodeType.STR)
]
mallory_nodes_out = [
RelationGraphNode("O0", (2, 0), RelationGraphNodeType.STR)
]
def check_edges(in_nodes, out_nodes):
for in_node in in_nodes:
for out_node in out_nodes:
edge = RelationGraphEdge(in_node, out_node,
RelationGraphEdgeType.EQUALITY)
self.assertTrue(
edge in rel_graph_edges,
"Could not find edge %s in set of edges:\n%s" %
(edge, rel_graph_edges))
check_edges(alice_nodes_in, alice_nodes_out)
check_edges(bob_nodes_in, bob_nodes_out)
check_edges(mallory_nodes_in, mallory_nodes_out)
def test_index_name_nodes_multiindex(self):
df = pd.DataFrame(
[(389.0, 'fly'), (24.0, 'fly'), (80.5, 'run'), (np.nan, 'jump')],
index=pd.MultiIndex.from_tuples([('bird', 'falcon'),
('bird', 'parrot'),
('mammal', 'lion'),
('mammal', 'monkey')],
names=['class', 'name']),
columns=pd.MultiIndex.from_tuples([('speed', 'max'),
('species', 'type')]))
df.columns.names = ['name1', 'name2']
options = RelationGraphOptions()
options.COLUMN_NODES = True
options.INDEX_NODES = True
options.INDEX_NAME_NODES = True
options.ADJACENCY_EDGES = True
options.EQUALITY_EDGES = True
options.NODE_TYPES = True
options.INDEX_EDGES = False
rel_graph: RelationGraph = RelationGraph.build_relation_graph([df], df,
options)
index_name_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.INDEX_NAME
]
column_name_nodes = [
node for node in rel_graph.nodes
if node._type == RelationGraphNodeType.COL_INDEX_NAME
]
self.assertEqual(len(index_name_nodes),
4) # Both in the input and output, so x2
self.assertEqual(len(column_name_nodes),
4) # Both in the input and output, so x2
def test_column_multi(self):
column_labels = [['bar', 'bar', 'baz', 'baz'],
['one', 'two', 'one', 'two']]
tuples = list(zip(*column_labels))
col_index = pd.MultiIndex.from_tuples(tuples)
data = [[0, 1, 2, 3], [4, 5, 6, 7]]
input_df = pd.DataFrame(data, columns=col_index)
# bar baz
# one two one two
# 0 0 1 2 3
# 1 4 5 6 7
output_df = input_df.stack().reset_index()
# level_0 level_1 bar baz
# 0 0 one 0 2
# 1 0 two 1 3
# 2 1 one 4 6
# 3 1 two 5 7
options = RelationGraphOptions()
options.COLUMN_NODES = True
options.ADJACENCY_EDGES = True
options.EQUALITY_EDGES = True
options.NODE_TYPES = True
options.INDEX_EDGES = True
rel_graph: RelationGraph = RelationGraph.build_relation_graph(
[input_df], output_df, options)
rel_graph_edges = rel_graph.edges
col_nodes = [
[
RelationGraphNode("I0", (-2, 0), RelationGraphNodeType.COLUMN),
RelationGraphNode("I0", (-2, 1), RelationGraphNodeType.COLUMN),
RelationGraphNode("I0", (-2, 2), RelationGraphNodeType.COLUMN),
RelationGraphNode("I0", (-2, 3), RelationGraphNodeType.COLUMN)
],
[
RelationGraphNode("I0", (-1, 0), RelationGraphNodeType.COLUMN),
RelationGraphNode("I0", (-1, 1), RelationGraphNodeType.COLUMN),
RelationGraphNode("I0", (-1, 2), RelationGraphNodeType.COLUMN),
RelationGraphNode("I0", (-1, 3), RelationGraphNodeType.COLUMN)
],
]
adjacency_edges = [
RelationGraphEdge(col_nodes[0][0], col_nodes[1][0],
RelationGraphEdgeType.ADJACENCY),
RelationGraphEdge(col_nodes[0][0], col_nodes[0][1],
RelationGraphEdgeType.ADJACENCY),
RelationGraphEdge(col_nodes[1][0], col_nodes[1][1],
RelationGraphEdgeType.ADJACENCY),
RelationGraphEdge(col_nodes[1][1], col_nodes[1][2],
RelationGraphEdgeType.ADJACENCY),
RelationGraphEdge(col_nodes[0][1], col_nodes[1][1],
RelationGraphEdgeType.ADJACENCY),
RelationGraphEdge(col_nodes[0][1], col_nodes[0][2],
RelationGraphEdgeType.ADJACENCY),
RelationGraphEdge(col_nodes[0][2], col_nodes[1][2],
RelationGraphEdgeType.ADJACENCY),
RelationGraphEdge(col_nodes[0][2], col_nodes[0][3],
RelationGraphEdgeType.ADJACENCY),
RelationGraphEdge(col_nodes[1][2], col_nodes[1][3],
RelationGraphEdgeType.ADJACENCY),
RelationGraphEdge(col_nodes[0][3], col_nodes[1][3],
RelationGraphEdgeType.ADJACENCY)
]
for edge in adjacency_edges:
self.assertTrue(
edge in rel_graph_edges,
"Could not find edge %s in set of edges:\n%s" %
(edge, rel_graph_edges))
# indexing edges
input_coli_elems = [[
RelationGraphNode("I0", (0, 0), RelationGraphNodeType.INT),
RelationGraphNode("I0", (1, 0), RelationGraphNodeType.INT)
],
[
RelationGraphNode("I0", (0, 1),
RelationGraphNodeType.INT),
RelationGraphNode("I0", (1, 1),
RelationGraphNodeType.INT)
],
[
RelationGraphNode("I0", (0, 2),
RelationGraphNodeType.INT),
RelationGraphNode("I0", (1, 2),
RelationGraphNodeType.INT)
],
[
RelationGraphNode("I0", (0, 3),
RelationGraphNodeType.INT),
RelationGraphNode("I0", (1, 3),
RelationGraphNodeType.INT)
]]
def check_edges(in_nodes, out_nodes, edge_type):
for in_node in in_nodes:
for out_node in out_nodes:
edge = RelationGraphEdge(in_node, out_node, edge_type)
self.assertTrue(
edge in rel_graph_edges,
"Could not find edge %s in set of edges:\n%s" %
(edge, rel_graph_edges))
for i in range(4):
in_nodes = [col_nodes[0][i], col_nodes[1][i]]
out_nodes = input_coli_elems[i]
check_edges(in_nodes, out_nodes, RelationGraphEdgeType.INDEX)
# equality_edges
bars = [col_nodes[0][0], col_nodes[0][1]]
bazs = [col_nodes[0][2], col_nodes[0][3]]
ones = [col_nodes[1][0], col_nodes[1][2]]
twos = [col_nodes[1][1], col_nodes[1][3]]
out_01 = RelationGraphNode("O0", (0, 1), RelationGraphNodeType.STR)
out_11 = RelationGraphNode("O0", (1, 1), RelationGraphNodeType.STR)
out_21 = RelationGraphNode("O0", (2, 1), RelationGraphNodeType.STR)
out_31 = RelationGraphNode("O0", (3, 1), RelationGraphNodeType.STR)
out_col_2 = RelationGraphNode("O0", (-1, 2),
RelationGraphNodeType.COLUMN)
out_col_3 = RelationGraphNode("O0", (-1, 3),
RelationGraphNodeType.COLUMN)
check_edges(bars, [out_col_2], RelationGraphEdgeType.EQUALITY)
check_edges(bazs, [out_col_3], RelationGraphEdgeType.EQUALITY)
check_edges(ones, [out_01, out_21], RelationGraphEdgeType.EQUALITY)
check_edges(twos, [out_11, out_31], RelationGraphEdgeType.EQUALITY)
def test_idx_multi(self):
tuples = [("bar", "one"), ("bar", "two")]
index = pd.MultiIndex.from_tuples(tuples)
data = [[0], [1]]
input_df = pd.DataFrame(data, index=index)
# 0
# bar one 0
# two 1
output_df = input_df.unstack()
# 0
# one two
# bar 0 1
options = RelationGraphOptions()
options.COLUMN_NODES = True
options.INDEX_NODES = True
options.ADJACENCY_EDGES = True
options.EQUALITY_EDGES = True
options.NODE_TYPES = True
options.INDEX_EDGES = True
rel_graph: RelationGraph = RelationGraph.build_relation_graph(
[input_df], output_df, options)
rel_graph_edges = rel_graph.edges
bar_in_0 = RelationGraphNode("I0", (0, -2),
RelationGraphNodeType.INDEX)
bar_in_1 = RelationGraphNode("I0", (1, -2),
RelationGraphNodeType.INDEX)
bar_out = RelationGraphNode("O0", (0, -1), RelationGraphNodeType.INDEX)
one_in = RelationGraphNode("I0", (0, -1), RelationGraphNodeType.INDEX)
two_in = RelationGraphNode("I0", (1, -1), RelationGraphNodeType.INDEX)
one_out = RelationGraphNode("O0", (-1, 0),
RelationGraphNodeType.COLUMN)
two_out = RelationGraphNode("O0", (-1, 1),
RelationGraphNodeType.COLUMN)
in_0 = RelationGraphNode("I0", (0, 0), RelationGraphNodeType.INT)
in_1 = RelationGraphNode("I0", (1, 0), RelationGraphNodeType.INT)
out_0 = RelationGraphNode("O0", (0, 0), RelationGraphNodeType.INT)
out_1 = RelationGraphNode("O0", (0, 1), RelationGraphNodeType.INT)
adjacency_edges = [
RelationGraphEdge(bar_in_0, bar_in_1,
RelationGraphEdgeType.ADJACENCY),
RelationGraphEdge(bar_in_0, one_in,
RelationGraphEdgeType.ADJACENCY),
RelationGraphEdge(bar_in_1, two_in,
RelationGraphEdgeType.ADJACENCY),
RelationGraphEdge(one_in, two_in, RelationGraphEdgeType.ADJACENCY)
]
for edge in adjacency_edges:
self.assertTrue(
edge in rel_graph_edges,
"Could not find edge %s in set of edges:\n%s" %
(edge, rel_graph_edges))
indexing_edges = [
RelationGraphEdge(bar_in_0, in_0, RelationGraphEdgeType.INDEX),
RelationGraphEdge(one_in, in_0, RelationGraphEdgeType.INDEX),
RelationGraphEdge(bar_in_1, in_1, RelationGraphEdgeType.INDEX),
RelationGraphEdge(two_in, in_1, RelationGraphEdgeType.INDEX),
RelationGraphEdge(bar_out, out_0, RelationGraphEdgeType.INDEX),
RelationGraphEdge(bar_out, out_1, RelationGraphEdgeType.INDEX)
]
for edge in indexing_edges:
self.assertTrue(
edge in rel_graph_edges,
"Could not find edge %s in set of edges:\n%s" %
(edge, rel_graph_edges))
equality_edges = [
RelationGraphEdge(bar_in_0, bar_out,
RelationGraphEdgeType.EQUALITY),
RelationGraphEdge(bar_in_1, bar_out,
RelationGraphEdgeType.EQUALITY),
RelationGraphEdge(one_in, one_out, RelationGraphEdgeType.EQUALITY),
RelationGraphEdge(two_in, two_out, RelationGraphEdgeType.EQUALITY)
]
for edge in equality_edges:
self.assertTrue(
edge in rel_graph_edges,
"Could not find edge %s in set of edges:\n%s" %
(edge, rel_graph_edges))