Struct etl::DataFrame

pub struct DataFrame { /* fields omitted */ }

Primary dataframe structure

Methods

impl DataFrame

fn nrows(&self) -> usize

Number of rows in dataframe

fn load(config_file_path: &Path) -> Result<(DataConfig, DataFrame), Error>

Create a new DataConfig and DataFrame from the configuration file specified

fn merge(&mut self, other: DataFrame) -> Result<(), Error>

Merge dataframe with another dataframe

fn fieldnames(&self) -> Vec<&String>

List of the field names for this dataframe

fn get_unsigned_field<T: ?Sized + Borrow<str>>(
    &self,
    field_name: &T
) -> Option<&Vec<u64>>

Get an unsigned integer field from the dataframe (if exists for given field name)

fn get_signed_field<T: ?Sized + Borrow<str>>(
    &self,
    field_name: &T
) -> Option<&Vec<i64>>

Get an signed integer field from the dataframe (if exists for given field name)

fn get_text_field<T: ?Sized + Borrow<str>>(
    &self,
    field_name: &T
) -> Option<&Vec<String>>

Get an string field from the dataframe (if exists for given field name)

fn get_boolean_field<T: ?Sized + Borrow<str>>(
    &self,
    field_name: &T
) -> Option<&Vec<bool>>

Get an boolean field from the dataframe (if exists for given field name)

fn get_float_field<T: ?Sized + Borrow<str>>(
    &self,
    field_name: &T
) -> Option<&Vec<f64>>

Get an floating point field from the dataframe (if exists for given field name)

fn as_matrix(&self) -> Result<(Vec<String>, Matrix), Error>

Generate a matrix from the dataframe as well as the field names for the columns of that matrix. String fields are ignored. Integer and boolean fields are transformed into floating point numbers.

fn sub<T>(&self, cols: Vec<T>) -> Result<DataFrame, Error> where
    T: Borrow<str>, 

Generate a sub-dataframe consisting of the columns specified

Trait Implementations

impl Debug for DataFrame

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.