Join new node attribute values in a left join using a data frame. The use of a left join in this function allows for no possibility that nodes in the graph might be removed after the join.
Arguments
- graph
A graph object of class
dgr_graph.- df
The data frame to use for joining.
- by_graph
Optional specification of the column in the graph's internal node data frame for the left join. If both
by_graphandby_dfare not provided, then a natural join will occur if there are columns in the graph's ndf and indfwith identical names.- by_df
Optional specification of the column in
dffor the left join. If bothby_graphandby_dfare not provided, then a natural join will occur if there are columns in the graph's ndf and indfwith identical names.
See also
Other node creation and removal:
add_n_node_clones(),
add_n_nodes(),
add_n_nodes_ws(),
add_node(),
add_node_clones_ws(),
add_node_df(),
add_nodes_from_df_cols(),
add_nodes_from_table(),
colorize_node_attrs(),
copy_node_attrs(),
create_node_df(),
delete_node(),
delete_nodes_ws(),
drop_node_attrs(),
layout_nodes_w_string(),
mutate_node_attrs(),
mutate_node_attrs_ws(),
node_data(),
recode_node_attrs(),
rename_node_attrs(),
rescale_node_attrs(),
set_node_attr_to_display(),
set_node_attr_w_fcn(),
set_node_attrs(),
set_node_attrs_ws(),
set_node_position()
Examples
# Set a seed
suppressWarnings(RNGversion("3.5.0"))
set.seed(23)
# Create a simple graph
graph <-
create_graph() %>%
add_n_nodes(n = 5) %>%
add_edges_w_string(
edges = "1->2 1->3 2->4 2->5 3->5")
# Create a data frame with node ID values and a
# set of numeric values
df <-
data.frame(
values = round(rnorm(6, 5), 2),
id = 1:6)
# Join the values in the data frame to the
# graph's nodes; this works as a left join using
# identically-named columns in the graph and the df
# (in this case the `id` column is common to both)
graph <-
graph %>%
join_node_attrs(
df = df)
# Get the graph's internal ndf to show that the
# join has been made
graph %>% get_node_df()
#> id type label values
#> 1 1 <NA> <NA> 6.00
#> 2 2 <NA> <NA> 6.11
#> 3 3 <NA> <NA> 4.72
#> 4 4 <NA> <NA> 6.02
#> 5 5 <NA> <NA> 5.05
# Get betweenness values for each node and
# add them as a node attribute (Note the
# common column name `id` in the different
# tables results in a natural join)
graph <-
graph %>%
join_node_attrs(
df = get_betweenness(.))
# Get the graph's internal ndf to show that
# this join has been made
graph %>% get_node_df()
#> id type label values betweenness
#> 1 1 <NA> <NA> 6.00 0.0
#> 2 2 <NA> <NA> 6.11 1.5
#> 3 3 <NA> <NA> 4.72 0.5
#> 4 4 <NA> <NA> 6.02 0.0
#> 5 5 <NA> <NA> 5.05 0.0