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

class CodeCell(code: str = 'df', on_run: meerkat.interactive.endpoint.Endpoint = None)

__init__(code: str = 'df', on_run: Optional[meerkat.interactive.endpoint.Endpoint] = None)

Methods

__init__([code, on_run])
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
code
on_run