Node Functions

ts_count

node timeseries.ts_count()

Arguments

Number of timeseries in the node

ts_list

node timeseries.ts_list()

Arguments

List all timeseries in the node

ts_dtype

node timeseries.ts_dtype(name: '& str', safe: 'bool' = false)

Arguments

• name: '& str' => Name of the timeseries
• safe: 'bool' = false => Do not error if timeseries does’t exist

Type name of the timeseries

ts_len

node timeseries.ts_len(name: '& str', safe: 'bool' = false)

Arguments

• name: '& str' => Name of the timeseries
• safe: 'bool' = false => Do not error if timeseries does’t exist

Length of the timeseries

ts_print

node timeseries.ts_print(
    name: '& String',
    header: 'bool' = true,
    head: 'Option < i64 >'
)

Arguments

• name: '& String' => name of the timeseries
• header: 'bool' = true => show header
• head: 'Option < i64 >' => number of head rows to show (all by default)

Print the given timeseries values in csv format

TODO

• save to file instead of showing with outfile: Option<PathBuf>

Network Functions

ts_print_csv

network timeseries.ts_print_csv(
    name: 'String',
    head: 'Option < usize >',
    nodes: 'Option < HashSet < String > >'
)

Arguments

• name: 'String' => Name of the timeseries to save
• head: 'Option < usize >' => number of head rows to show (all by default)
• nodes: 'Option < HashSet < String > >' => Include only these nodes (all by default)

Save timeseries from all nodes into a single csv file

TODO: error/not on unqual length TODO: error/not on no timeseries, etc… TODO: output to file: PathBuf

series_csv

network timeseries.series_csv(
    filter: 'Vec < bool >',
    outfile: 'PathBuf',
    attrs: 'Vec < String >',
    series: 'Vec < String >'
)

Arguments

• filter: 'Vec < bool >' =>
• outfile: 'PathBuf' => Path to the output csv
• attrs: 'Vec < String >' => list of attributes to write
• series: 'Vec < String >' => list of series to write

Write the given nodes to csv with given attributes and series