meerkat.interactive.app.src.lib.component.core.Filter¶

class Filter(df: meerkat.dataframe.DataFrame = None, *, criteria: List[meerkat.interactive.app.src.lib.component.core.filter.FilterCriterion] = [], operations: List[str] = ['==', '!=', '>', '<', '>=', '<=', 'in', 'not in', 'contains'], title: str = 'Filter', classes: str = '')[source]¶
__init__(df: Optional[meerkat.dataframe.DataFrame] = None, *, criteria: List[meerkat.interactive.app.src.lib.component.core.filter.FilterCriterion] = [], operations: List[str] = ['==', '!=', '>', '<', '>=', '<=', 'in', 'not in', 'contains'], title: str = 'Filter', classes: str = '')[source]¶

Filter a dataframe based on a list of filter criteria.

Filtering criteria are maintained in a Store. On change of values in the store, the dataframe is filtered.

Methods

__init__([df, criteria, operations, title, ...])

Filter a dataframe based on a list of filter criteria.

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

criteria

operations

title

classes