DiagrammeR (version 1.0.5)

export_csv: Export a graph to CSV files

Description

Export a graph to separate CSV files for nodes and edges.

Usage

export_csv(
  graph,
  ndf_name = "nodes.csv",
  edf_name = "edges.csv",
  output_path = getwd(),
  colnames_type = NULL
)

Arguments

graph

A graph object of class dgr_graph.

ndf_name

The name to provide to the CSV file containing node information. By default this CSV will be called nodes.csv.

edf_name

The name to provide to the CSV file containing edge information. By default this CSV will be called edges.csv.

output_path

The path to which the CSV files will be placed. By default, this is the current working directory.

colnames_type

Provides options to modify CSV column names to allow for easier import into other graph systems. The neo4j option modifies column names to allow for direct import of CSVs into Neo4J with the LOAD CSV clause. The graphframes option modifies column names to match those required by the Spark GraphFrames package.

Examples

Run this code
# NOT RUN {
# Create a node data frame (ndf)
ndf <-
  create_node_df(
    n = 4,
    type = c("a", "a", "z", "z"),
    label = TRUE,
    value = c(3.5, 2.6, 9.4, 2.7)
  )

# Create an edge data frame (edf)
edf <-
  create_edge_df(
    from = c(1, 2, 3),
    to = c(4, 3, 1),
    rel = c("rel_a", "rel_z", "rel_a")
  )

# Create a graph with the ndf and edf
graph <-
  create_graph(
    nodes_df = ndf,
    edges_df = edf
  )

# Create separate `nodes.csv` and
# `edges.csv` files
# graph %>% export_csv()

# }

Run the code above in your browser using DataCamp Workspace