Struct DataFrame

pub struct DataFrame {
    pub constants: HashMap<Key, DataValue>,
    pub dataframe: ColumnFrame,
    pub metadata: HashMap<String, DataValue>,
}

DataFrame holds information about ColumnFrame. This is used to store the data and the metadata for the candidates.

Fields

constants: HashMap<Key, DataValue>

Constants for the dataframe - mikro optimization for the data Values which is constant for the whole dataframe are stored here

dataframe: ColumnFrame

Dataframe with the candidates

metadata: HashMap<String, DataValue>

Metadata for the dataframe. Here you can store the information about the dataframe

Implementations

impl DataFrame

pub fn init() -> Self

pub fn keys(&self) -> Vec<String>

pub fn as_numpy_u32<'py>( &self, keys: Option<Vec<String>>, transposed: Option<bool>, py: Python<'py>, ) -> PyResult<Bound<'py, PyArray2<u32>>>

pub fn as_numpy_u64<'py>( &self, keys: Option<Vec<String>>, transposed: Option<bool>, py: Python<'py>, ) -> PyResult<Bound<'py, PyArray2<u64>>>

pub fn as_numpy_i32<'py>( &self, keys: Option<Vec<String>>, transposed: Option<bool>, py: Python<'py>, ) -> PyResult<Bound<'py, PyArray2<i32>>>

pub fn as_numpy_i64<'py>( &self, keys: Option<Vec<String>>, transposed: Option<bool>, py: Python<'py>, ) -> PyResult<Bound<'py, PyArray2<i64>>>

pub fn as_numpy_f32<'py>( &self, keys: Option<Vec<String>>, transposed: Option<bool>, py: Python<'py>, ) -> PyResult<Bound<'py, PyArray2<f32>>>

pub fn as_numpy_f64<'py>( &self, keys: Option<Vec<String>>, transposed: Option<bool>, py: Python<'py>, ) -> PyResult<Bound<'py, PyArray2<f64>>>

pub fn py_shrink(&mut self)

pub fn py_add_metadata(&mut self, key: String, value: DataValue)

pub fn py_get_metadata(&self, key: &str) -> Option<DataValue>

pub fn py_rename_key(&mut self, key: &str, new_name: &str) -> Result<(), PyErr>

pub fn py_add_alias(&mut self, key: &str, new_name: &str) -> Result<(), PyErr>

pub fn py_select<'py>( &self, py: Python<'py>, keys: Option<Vec<String>>, ) -> Result<Bound<'py, PyList>, PyErr>

pub fn py_select_transposed<'py>( &self, py: Python<'py>, keys: Option<Vec<String>>, ) -> Result<Bound<'py, PyList>, PyErr>

pub fn py_select_column<'py>( &self, py: Python<'py>, key: String, ) -> Result<Bound<'py, PyList>, PyErr>

pub fn py_join( &mut self, other: DataFrame, join_type: JoinRelation, ) -> Result<(), PyErr>

pub fn py_push(&mut self, data: HashMap<Key, DataValue>) -> Result<(), PyErr>

pub fn py_add_column( &mut self, key: Key, data: Vec<DataValue>, ) -> Result<(), PyErr>

pub fn add_constant( &mut self, key: Key, feature: DataValue, ) -> Result<(), PyErr>

pub fn __iadd__(&mut self, object: Bound<'_, PyAny>) -> Result<(), PyErr>

pub fn __isub__(&mut self, object: Bound<'_, PyAny>) -> Result<(), PyErr>

pub fn __imul__(&mut self, object: Bound<'_, PyAny>) -> Result<(), PyErr>

pub fn __itruediv__(&mut self, object: Bound<'_, PyAny>) -> Result<(), PyErr>

pub fn __len__(&mut self) -> Result<usize, PyErr>

impl DataFrame

pub fn new<C: Into<ColumnFrame>>(dataframe: C) -> Self

pub fn shrink(&mut self)

pub fn add_metadata(&mut self, key: String, value: DataValue)

pub fn get_metadata(&self, key: &str) -> Option<&DataValue>

pub fn join( &mut self, other: Self, join_type: &JoinRelation, ) -> Result<(), Error>

pub fn apply_function<F>(&mut self, keys: &[Key], func: F) -> Result<(), Error>

where F: FnMut(&[Key], &mut ColumnFrame) -> Result<(), Error>,

pub fn select(&self, keys: Option<&[Key]>) -> Result<Array2<DataValue>, Error>

pub fn select_transposed_typed<D: Extract>(&self, keys: &[Key]) -> Vec<Vec<D>>

pub fn select_column(&self, key: Key) -> Option<ArrayView1<'_, DataValue>>

pub fn select_transposed( &self, keys: Option<&[Key]>, ) -> Result<Array2<DataValue>, Error>

pub fn insert_constant(&mut self, key: Key, value: DataValue)

pub fn push<C: CandidateData>(&mut self, item: C) -> Result<(), Error>

pub fn remove_column(&mut self, keys: &[Key]) -> Result<Self, Error>

pub fn extend(&mut self, items: Self) -> Result<(), Error>

pub fn len(&self) -> usize

pub fn is_empty(&self) -> bool

pub fn add_single_column<K: Into<Key>>( &mut self, key: K, values: Array1<DataValue>, ) -> Result<(), Error>

pub fn get_single_column(&self, key: &Key) -> Option<ArrayView1<'_, DataValue>>

pub fn sorted(&self, key: &Key) -> Result<SortedDataFrame<'_>, Error>

Trait Implementations

impl Clone for DataFrame

fn clone(&self) -> DataFrame

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DataFrame

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for DataFrame

fn default() -> DataFrame

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DataFrame

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Display for DataFrame

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl From<ColumnFrame> for DataFrame

fn from(dataframe: ColumnFrame) -> Self

Converts to this type from the input type.

impl From<HashMap<String, Vec<DataValue>>> for DataFrame

fn from(dataframe: HashMap<String, Vec<DataValue>>) -> Self

Converts to this type from the input type.

impl From<SizedHashMap<SmartString<LazyCompact>, Vec<DataValue>>> for DataFrame

fn from(dataframe: MLChefMap) -> Self

Converts to this type from the input type.

impl From<Vec<(Key, Vec<DataValue>)>> for DataFrame

fn from(dataframe: Vec<(Key, Vec<DataValue>)>) -> Self

Converts to this type from the input type.

impl From<Vec<HashMap<Key, DataValue>>> for DataFrame

fn from(dataframe: Vec<HashMap<Key, DataValue>>) -> Self

Converts to this type from the input type.

impl From<Vec<SizedHashMap<Key, DataValue>>> for DataFrame

fn from(dataframe: Vec<HashMap<Key, DataValue>>) -> Self

Converts to this type from the input type.

impl IntoPy<Py<PyAny>> for DataFrame

fn into_py(self, py: Python<'_>) -> PyObject

👎Deprecated since 0.23.0: IntoPy is going to be replaced by IntoPyObject. See the migration guide (https://pyo3.rs/v0.23.0/migration) for more information.

Performs the conversion.

impl<'py> IntoPyObject<'py> for DataFrame

type Target = DataFrame

The Python output type

type Output = Bound<'py, <DataFrame as IntoPyObject<'py>>::Target>

The smart pointer type to use.

type Error = PyErr

The type returned in the event of a conversion error.

fn into_pyobject( self, py: Python<'py>, ) -> Result<<Self as IntoPyObject<'_>>::Output, <Self as IntoPyObject<'_>>::Error>

Performs the conversion.

impl PartialEq for DataFrame

fn eq(&self, other: &DataFrame) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl PyClass for DataFrame

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for DataFrame

const IS_BASETYPE: bool = false

#[pyclass(subclass)]

const IS_SUBCLASS: bool = false

#[pyclass(extends=…)]

const IS_MAPPING: bool = false

#[pyclass(mapping)]

const IS_SEQUENCE: bool = false

#[pyclass(sequence)]

type BaseType = PyAny

Base class

type ThreadChecker = SendablePyClass<DataFrame>

This handles following two situations:

type PyClassMutability = <<PyAny as PyClassBaseType>::PyClassMutability as PyClassMutability>::MutableChild

Immutable or mutable

type Dict = PyClassDummySlot

Specify this class has #[pyclass(dict)] or not.

type WeakRef = PyClassDummySlot

Specify this class has #[pyclass(weakref)] or not.

type BaseNativeType = PyAny

The closest native ancestor. This is PyAny by default, and when you declare #[pyclass(extends=PyDict)], it’s PyDict.

fn items_iter() -> PyClassItemsIter

fn doc(py: Python<'_>) -> PyResult<&'static CStr>

Rendered class doc

fn lazy_type_object() -> &'static LazyTypeObject<Self>

fn dict_offset() -> Option<isize>

fn weaklist_offset() -> Option<isize>

impl PyClassNewTextSignature<DataFrame> for PyClassImplCollector<DataFrame>

fn new_text_signature(self) -> Option<&'static str>

impl<'a, 'py> PyFunctionArgument<'a, 'py> for &'a DataFrame

type Holder = Option<PyRef<'py, DataFrame>>

fn extract( obj: &'a Bound<'py, PyAny>, holder: &'a mut Self::Holder, ) -> PyResult<Self>

impl<'a, 'py> PyFunctionArgument<'a, 'py> for &'a mut DataFrame

type Holder = Option<PyRefMut<'py, DataFrame>>

fn extract( obj: &'a Bound<'py, PyAny>, holder: &'a mut Self::Holder, ) -> PyResult<Self>

impl PyMethods<DataFrame> for PyClassImplCollector<DataFrame>

fn py_methods(self) -> &'static PyClassItems

impl PyTypeInfo for DataFrame

const NAME: &'static str = "DataFrame"

Class name.

const MODULE: Option<&'static str> = ::core::option::Option::None

Module name, if any.

fn type_object_raw(py: Python<'_>) -> *mut PyTypeObject

Returns the PyTypeObject instance for this type.

fn type_object(py: Python<'_>) -> Bound<'_, PyType>

Returns the safe abstraction over the type object.

fn type_object_bound(py: Python<'_>) -> Bound<'_, PyType>

👎Deprecated since 0.23.0: renamed to PyTypeInfo::type_object

Deprecated name for PyTypeInfo::type_object.

fn is_type_of(object: &Bound<'_, PyAny>) -> bool

Checks if object is an instance of this type or a subclass of this type.

fn is_type_of_bound(object: &Bound<'_, PyAny>) -> bool

👎Deprecated since 0.23.0: renamed to PyTypeInfo::is_type_of

Deprecated name for PyTypeInfo::is_type_of.

fn is_exact_type_of(object: &Bound<'_, PyAny>) -> bool

Checks if object is an instance of this type.

fn is_exact_type_of_bound(object: &Bound<'_, PyAny>) -> bool

👎Deprecated since 0.23.0: renamed to PyTypeInfo::is_exact_type_of

Deprecated name for PyTypeInfo::is_exact_type_of.

impl Serialize for DataFrame

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl DerefToPyAny for DataFrame

impl StructuralPartialEq for DataFrame