Struct DataFrameF64 

pub struct DataFrameF64 {
    pub index: Py<PyArray1<IndexDtype>>,
    pub columns: Py<PyArray1<ColumnsDtype>>,
    pub values: Py<PyArray2<f64>>,
}

Fields

index: Py<PyArray1<IndexDtype>>

columns: Py<PyArray1<ColumnsDtype>>

values: Py<PyArray2<f64>>

Implementations

impl DataFrameF64

pub fn to_core<'py>(&'py self, py: Python<'py>) -> DataFrame<'py, f64>

pub fn from_core(py: Python<'_>, df: DataFrame<'_, f64>) -> Self

Trait Implementations

impl<'py> IntoPyObject<'py> for DataFrameF64

type Target = DataFrameF64

The Python output type

type Output = Bound<'py, <DataFrameF64 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 PyClass for DataFrameF64

type Frozen = True

Whether the pyclass is frozen.

impl PyClassImpl for DataFrameF64

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)]

const IS_IMMUTABLE_TYPE: bool = false

#[pyclass(immutable_type)]

type BaseType = PyAny

Base class

type ThreadChecker = SendablePyClass<DataFrameF64>

This handles following two situations:

type Inventory = Pyo3MethodsInventoryForDataFrameF64

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

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<'a, 'py> PyFunctionArgument<'a, 'py, false> for &'a DataFrameF64

type Holder = Option<PyRef<'py, DataFrameF64>>

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

impl PyTypeInfo for DataFrameF64

const NAME: &'static str = "DataFrameF64"

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

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

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

Checks if object is an instance of this type.

impl DerefToPyAny for DataFrameF64