napari_track_edit.import_export.menus.prop_map_widget

Attributes

`FIELD_ALIASES`
`RESERVED_PROPS`

Classes

StandardFieldMapWidget

QWidget to map motile run attributes to node properties in csv or geff.

Functions

`get_attr_dtype_zarr`(→ str)	Determine the data type for a property stored under
`get_attr_dtype_pandas`(→ str)	Extract the data type of a pandas series as one of 'bool', 'int', 'float', 'str',

Module Contents

napari_track_edit.import_export.menus.prop_map_widget.FIELD_ALIASES

napari_track_edit.import_export.menus.prop_map_widget.RESERVED_PROPS

napari_track_edit.import_export.menus.prop_map_widget.get_attr_dtype_zarr(root: zarr.Group, attr: str) → str

Determine the data type for a property stored under root[‘nodes’][‘props’][attr].

Returns:: ‘bool’, ‘int’, ‘float’, ‘str’, or ‘object’
Return type:: One of

napari_track_edit.import_export.menus.prop_map_widget.get_attr_dtype_pandas(series: pandas.Series) → str: Extract the data type of a pandas series as one of ‘bool’, ‘int’, ‘float’, ‘str’, or ‘object’

class napari_track_edit.import_export.menus.prop_map_widget.StandardFieldMapWidget

Bases: qtpy.QtWidgets.QWidget

QWidget to map motile run attributes to node properties in csv or geff.

props_updated

seg = False

seg_for_features = False

incl_z = True

has_duplicates = False

node_attrs: list[str] = []

metadata = None

mapping_labels

mapping_widgets

mapping_layout

optional_mapping_layout

optional_features

extract_csv_property_fields(df: pandas.DataFrame, seg: bool, incl_z: bool) → None: Update the mapping widget with the provided root group and segmentation flag.

extract_geff_property_fields(root: zarr.Group, seg: bool, incl_z: bool, seg_for_features: bool | None = None) → None: Update the mapping widget with the provided root group and segmentation flag.

_update_props_left() → None

Update the list of columns that have not been mapped yet

Remove attributes from optional features if they are mapped in the mandatory mapping.

_get_initial_mapping() → dict[str, str]: Make an initial guess for mapping of geff columns to fields

_add_optional_prop(attribute: str) → None

Add an attribute to the dictionary of optional features and create the associated widgets in the grid layout: - Checkbox to include/exclude the attribute - Combobox to select the feature option (regionprops feature, ‘Group’, or ‘Custom’) - Checkbox to indicate whether to recompute the feature (only for regionprops features)

Parameters:: attribute (str) – The attribute name to add as an optional feature

_remove_optional_prop(attribute: str) → None: Remove an attribute from the dictionary of optional features and remove the associated widgets from the ‘extra features’ layout.

_check_for_duplicates() → None: Check if any regionprops property is assigned twice in optional_features (ignoring ‘Group’ and ‘Custom’).

_wrap_tooltip(text: str) → str: Wrap tooltip with fixed width.

_get_tooltip(attribute: str) → str: Return the tooltip for the given attribute

update_mapping(seg: bool = False) → None

Map graph spatiotemporal data and optionally the track and lineage attributes.

Parameters:: seg (bool) – whether a segmentation is associated with this data

get_name_map() → dict[str, str]

Return a mapping from standard field name to source property name.

Includes standard fields (time, x, y, etc.), Custom/Group features, and non-recompute regionprops features selected in optional features.

get_recompute_keys() → list[str]

Get feature keys that should be recomputed from segmentation.

Returns a list of default feature keys for which the user checked the ‘Recompute’ checkbox.