pykanto.app.main#

Source code for pykanto’s interactive labelling app.

Functions

build_legend(source, html_markers, ...)

Builds the legend for the main interactive plot.

get_markers(marker_types, mapping)

Maps a list of markers to labels.

parse_boolean(b)

Parses a boolean.

prepare_legend(source, palette, labs[, ...])

Prepares the legend for the scatterplot.

set_range(sdata[, ax_percentage])

Sets the range of the scatterplot.

update_feedback_text(indv_list, remaining_indvs)

Updates the feedback text for the user.
pykanto.app.main.get_markers(marker_types: List[str], mapping: numpy.ndarray) → List[str][source]#

Maps a list of markers to labels.

Parameters

  • marker_types (List[str]) – List of marker types.

  • mapping (np.ndarray) – List of labels.

Returns

List of markers.

Return type

List[str]

pykanto.app.main.prepare_legend(source: bokeh.models.sources.ColumnDataSource, palette: List[str], labs: List[str], grouping_labels: str = 'auto_class') → tuple[List[str], list[str], bokeh.core.property.dataspec.field][source]#

Prepares the legend for the scatterplot.

Parameters

  • source (ColumnDataSource) – Data source for the scatterplot.

  • palette (List[str]) – Colour palette for the scatterplot.

  • labs (List[str]) – List of labels.

  • grouping_labels (str, optional) – Column name for the labels. Defaults to

  • "auto_class". –

Returns

Tuple of the colour palette, marker types and the colour field.

Return type

tuple[List[str], list[str], field]

pykanto.app.main.build_legend(source, html_markers, span_mk_sizes, mk_colours)[source]#

Builds the legend for the main interactive plot.

Parameters

  • source (ColumnDataSource) – Data source for the scatterplot.

  • html_markers (dict) – Dictionary of HTML markers.

  • span_mk_sizes (dict) – Dictionary of marker sizes.

  • mk_colours (dict) – Dictionary of marker colours.

Returns

HTML for the legend.

Return type

str

pykanto.app.main.update_feedback_text(indv_list, remaining_indvs)[source]#

Updates the feedback text for the user.

Parameters

  • indv_list (list) – List of individuals.

  • remaining_indvs (list) – List of remaining individuals.

Returns

Feedback text.

Return type

str

pykanto.app.main.parse_boolean(b)[source]#

Parses a boolean.

Parameters

b (str) – String to parse.

Returns

Boolean.

Return type

bool

pykanto.app.main.set_range(sdata, ax_percentage=5)[source]#

Sets the range of the scatterplot.

Parameters

  • sdata (pd.DataFrame) – Dataframe with the scatterplot data.

  • ax_percentage (int, optional) – Percentage of the axis to extend. Defaults to 5.

Returns

Tuple of the x and y ranges.

Return type

tuple