pub struct Dataset {
pub records: Vec<Record>,
}Expand description
A dataset is a homogeneous-ish collection of records. We don’t enforce schema — encodings pick which fields to use.
Fields§
§records: Vec<Record>Implementations§
Source§impl Dataset
impl Dataset
pub fn new(records: Vec<Record>) -> Self
pub fn is_empty(&self) -> bool
pub fn len(&self) -> usize
pub fn column_f64(&self, field: &str) -> Result<Vec<f64>>
pub fn column_str(&self, field: &str) -> Result<Vec<String>>
Sourcepub fn from_csv_path(path: impl AsRef<Path>) -> Result<Self>
pub fn from_csv_path(path: impl AsRef<Path>) -> Result<Self>
Read a dataset from a CSV file. Numeric columns are auto-detected per cell — strings that parse as f64 become numbers.
pub fn from_json_str(s: &str) -> Result<Self>
Trait Implementations§
Source§impl<'de> Deserialize<'de> for Dataset
impl<'de> Deserialize<'de> for Dataset
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Auto Trait Implementations§
impl Freeze for Dataset
impl RefUnwindSafe for Dataset
impl Send for Dataset
impl Sync for Dataset
impl Unpin for Dataset
impl UnsafeUnpin for Dataset
impl UnwindSafe for Dataset
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T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
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T: Any,
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