Node Functions

load_csv_fill

node datafill.load_csv_fill(
    name: 'String',
    file: 'Template',
    timefmt: 'String',
    columns: '(String, String)',
    method: 'DataFillMethod' = Linear,
    dtype: 'String' = "Floats"
)

Arguments

• name: 'String' => Name of the timeseries
• file: 'Template' => Template of the CSV file for the nodes
• timefmt: 'String' => date time format, if you only have date, but have time on format string, it will panic
• columns: '(String, String)' => Names of date column and value column
• method: 'DataFillMethod' = Linear => Method to use for data filling: forward/backward/linear
• dtype: 'String' = "Floats" => DataType to load into timeseries

datafill_experiment

node datafill.datafill_experiment(
    name: 'String',
    file: 'Template',
    ratio_var: 'String',
    columns: 'Option < (String, String) >',
    experiments: 'usize' = 10,
    samples: 'usize' = 100
)

Arguments

• name: 'String' => Prefix for name of the series to save metrics on
• file: 'Template' => Template of the CSV file for the nodes
• ratio_var: 'String' => Variable to use for inputratio/outputratio methods
• columns: 'Option < (String, String) >' => Names of date column and value column
• experiments: 'usize' = 10 => Number of experiements to run
• samples: 'usize' = 100 => Number of samples on each experiment

Network Functions

save_experiments_csv

network datafill.save_experiments_csv(
    outfile: 'PathBuf',
    attrs: 'Vec < String >',
    prefix: 'String',
    errors: 'Vec < String >',
    filter: 'Option < Vec < bool > >'
)

Arguments

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

Write the given nodes to csv with given attributes and experiment results