# igraph-es-attributes

##### Query or set attributes of the edges in an edge sequence

The `$`

operator is a syntactic sugar to query and set
edge attributes, for edges in an edge sequence.

##### Usage

```
# S3 method for igraph.es
[[(x, i) <- value
```# S3 method for igraph.es
[(x, i) <- value

# S3 method for igraph.es
$(x, name)

# S3 method for igraph.es
$(x, name) <- value

E(x, path = NULL, P = NULL, directed = NULL) <- value

##### Arguments

- x
An edge sequence. For

`E<-`

it is a graph.- i
Index.

- value
New value of the attribute, for the edges in the edge sequence.

- name
Name of the edge attribute to query or set.

- path
Select edges along a path, given by a vertex sequence See

`E`

.- P
Select edges via pairs of vertices. See

`E`

.- directed
Whether to use edge directions for the

`path`

or`P`

arguments.

##### Details

The query form of `$`

is a shortcut for `edge_attr`

,
e.g. `E(g)[idx]$attr`

is equivalent to ```
edge_attr(g, attr,
E(g)[idx])
```

.

The assignment form of `$`

is a shortcut for
`set_edge_attr`

, e.g. `E(g)[idx]$attr <- value`

is
equivalent to `g <- set_edge_attr(g, attr, E(g)[idx], value)`

.

##### Value

A vector or list, containing the values of the attribute
`name`

for the edges in the sequence. For numeric, character or
logical attributes, it is a vector of the appropriate type, otherwise
it is a list.

##### See Also

Other vertex and edge sequences: `E`

,
`V`

, `igraph-es-indexing2`

,
`igraph-es-indexing`

,
`igraph-vs-attributes`

,
`igraph-vs-indexing2`

,
`igraph-vs-indexing`

,
`print.igraph.es`

,
`print.igraph.vs`

Other vertex and edge sequences: `E`

,
`V`

, `igraph-es-indexing2`

,
`igraph-es-indexing`

,
`igraph-vs-attributes`

,
`igraph-vs-indexing2`

,
`igraph-vs-indexing`

,
`print.igraph.es`

,
`print.igraph.vs`

##### Examples

```
# NOT RUN {
# color edges of the largest component
largest_comp <- function(graph) {
cl <- components(graph)
V(graph)[which.max(cl$csize) == cl$membership]
}
g <- sample_(gnp(100, 1/100),
with_vertex_(size = 3, label = ""),
with_graph_(layout = layout_with_fr)
)
giant_v <- largest_comp(g)
E(g)$color <- "orange"
E(g)[giant_v %--% giant_v]$color <- "blue"
plot(g)
# }
```

*Documentation reproduced from package igraph, version 1.2.3, License: GPL (>= 2)*