meerkat.interactive.app.src.lib.component.core.Table

class Table(df: meerkat.dataframe.DataFrame, *, selected: List[int] = [], single_select: bool = False, classes: str = 'h-fit', on_edit: meerkat.interactive.endpoint.EndpointProperty = None, on_select: meerkat.interactive.endpoint.EndpointProperty = None)[source]
__init__(df: meerkat.dataframe.DataFrame, *, selected: List[int] = [], single_select: bool = False, classes: str = 'h-fit', on_edit: Optional[meerkat.interactive.endpoint.EndpointProperty] = None, on_select: Optional[meerkat.interactive.endpoint.EndpointProperty] = None)[source]

Table view of a DataFrame.

Parameters

  • df (DataFrame) – The DataFrame to display.

  • selected (List[int], optional) – The indices of the rows selected in the gallery. Useful for labeling and other tasks. Defaults to [].

  • allow_selection (bool, optional) – Whether to allow the user to select rows. Defaults to False.

  • single_select – Whether to allow the user to select only one row.

Methods

__init__(df, *[, selected, single_select, ...])

Table view of a DataFrame.

append(other)

construct([_fields_set])

Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.

copy(*[, include, exclude, update, deep])

Duplicate a model, optionally choose which fields to include, exclude and change.

dict(*[, include, exclude, by_alias, ...])

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

from_id(id)

from_orm(obj)

get_components()

json(*[, include, exclude, by_alias, ...])

Generate a JSON representation of the model, include and exclude arguments as per dict().

parse_file(path, *[, content_type, ...])

parse_obj(obj)

parse_raw(b, *[, content_type, encoding, ...])

prepend_meerkat_id_prefix(id)

schema([by_alias, ref_template])

schema_json(*[, by_alias, ref_template])

update_forward_refs(**localns)

Try to update ForwardRefs on fields based on this Model, globalns and localns.

validate(value)

Attributes

alias

component_name

event_names

events

frontend

Returns a Pydantic model that can be should be sent to the frontend.

frontend_alias

id

identifiable_group

library

namespace

path

prop_bindings

prop_names

props

slots

slottable

virtual_props

Props, and all events (as_*) as props.

wrapper_import_style

df

selected

single_select

classes

on_edit

on_select