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GeezerVison is showing github.com — graphframes/python/graphframes/tutorials/utils.py at master · dmatrix/graphframes

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"""Utilities for Network Moitif Finding Tutorial"""
from pyspark.sql import DataFrame
from pyspark.sql import functions as F
from graphframes import GraphFrame
def three_edge_count(paths: DataFrame) -> DataFrame:
"""three_edge_count View the counts of the different types of 3-node graphlets in the graph.
Parameters
----------
paths : pyspark.sql.DataFrame
A DataFrame of 3-paths in the graph.
Returns
-------
DataFrame
A DataFrame of the counts of the different types of 3-node graphlets in the graph.
""" # noqa: E501
graphlet_type_df = paths.select(
F.col("a.Type").alias("A_Type"),
F.col("e1.relationship").alias("E_relationship"),
F.col("b.Type").alias("B_Type"),
F.col("e2.relationship").alias("E2_relationship"),
F.col("c.Type").alias("C_Type"),
F.col("e3.relationship").alias("E3_relationship"),
F.when(F.col("d").isNotNull(), F.col("d.Type")).alias("D_Type"),
)
graphlet_count_df = (
graphlet_type_df.groupby(
"A_Type",
"E_relationship",
"B_Type",
"E2_relationship",
"C_Type",
"E3_relationship",
)
.count()
.orderBy(F.col("count").desc())
# Add a comma formatted column for display
.withColumn("count", F.format_number(F.col("count"), 0))
)
return graphlet_count_df
def four_edge_count(paths: DataFrame) -> DataFrame:
"""four_edge_count View the counts of the different types of 4-node graphlets in the graph.
Parameters
----------
paths : DataFrame
A DataFrame of 4-paths in the graph.
Returns
-------
DataFrame
A DataFrame of the counts of the different types of 4-node graphlets in the graph.
"""
graphlet_type_df = paths.select(
F.col("a.Type").alias("A_Type"),
F.col("e1.relationship").alias("E_relationship"),
F.col("b.Type").alias("B_Type"),
F.col("e2.relationship").alias("E2_relationship"),
F.col("c.Type").alias("C_Type"),
F.col("e3.relationship").alias("E3_relationship"),
F.col("d.Type").alias("D_Type"),
F.col("e4.relationship").alias("E4_relationship"),
F.when(F.col("e").isNotNull(), F.col("e.Type")).alias("E_Type"),
)
graphlet_count_df = (
graphlet_type_df.groupby(
"A_Type",
"E_relationship",
"B_Type",
"E2_relationship",
"C_Type",
"E3_relationship",
"D_Type",
"E4_relationship",
)
.count()
.orderBy(F.col("count").desc())
# Add a comma formatted column for display
.withColumn("count", F.format_number(F.col("count"), 0))
)
return graphlet_count_df
def add_degree(g: GraphFrame) -> GraphFrame:
"""add_degree compute the degree, adding it as a property of the nodes in the GraphFrame.
Parameters
----------
g : GraphFrame
Any valid GraphFrame
Returns
-------
GraphFrame
Same GraphFrame with a 'degree' property added
"""
degree_vertices: DataFrame = g.vertices.join(g.degrees, on="id")
return GraphFrame(degree_vertices, g.edges)
def add_type_degree(g: GraphFrame) -> DataFrame:
"""add_type_degree add a map property to the vertices with the degree by each type of relationship.
Parameters
----------
g : GraphFrame
Any valid GraphFrame
Returns
-------
DataFrame - I am broke, next line is wrong
A GraphFrame with a map[type:degree] 'type_degree' field added to the vertices
""" # noqa: E501
type_degree: DataFrame = (
g.edges.select(F.col("src").alias("id"), "relationship")
.filter(F.col("id").isNotNull())
.groupby("id", "relationship")
.count()
)
type_degree = type_degree.withColumn("type_degree", F.create_map(type_degree.columns))
type_degree = type_degree.select("src", "type_degree")
return g.vertices.join(type_degree, on="src")
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