def group_values( chart_type, group_cols, map_group_cols, cs_group_cols, treemap_group_cols, pathname, inputs, prev_group_vals, ): data_id = get_data_id(pathname) group_cols = group_cols if chart_type == "maps": group_cols = map_group_cols elif chart_type == "candlestick": group_cols = cs_group_cols elif chart_type == "treemap": group_cols = treemap_group_cols group_cols = make_list(group_cols) group_types = get_group_types(inputs, data_id, group_cols) if "groups" not in group_types: return [], None group_vals = run_query( global_state.get_data(data_id), inputs.get("query"), global_state.get_context_variables(data_id), ) group_vals = build_group_val_options(group_vals, group_cols) selections = [] available_vals = [gv["value"] for gv in group_vals] if prev_group_vals is not None: selections = [pgv for pgv in prev_group_vals if pgv in available_vals] if not len(selections) and len(group_vals) <= MAX_GROUPS: selections = available_vals return group_vals, selections
def group_values(chart_type, group_cols, map_group_cols, pathname, inputs, prev_group_vals): group_cols = make_list(group_cols) if show_input_handler(chart_type or "line")("group") and not len(group_cols): return [], None elif chart_type == "maps": # all maps have a group input group_cols = make_list(map_group_cols) if not len(group_cols): return [], None data_id = get_data_id(pathname) group_vals = run_query( global_state.get_data(data_id), inputs.get("query"), global_state.get_context_variables(data_id), ) group_vals = build_group_val_options(group_vals, group_cols) selections = [] available_vals = [gv["value"] for gv in group_vals] if prev_group_vals is not None: selections = [ pgv for pgv in prev_group_vals if pgv in available_vals ] if not len(selections) and len(group_vals) <= MAX_GROUPS: selections = available_vals return group_vals, selections
def group_values( chart_type, group_cols, map_group_cols, cs_group_cols, treemap_group_cols, funnel_group_cols, clustergram_group_cols, pareto_group_cols, inputs, prev_group_vals, ): data_id = inputs["data_id"] group_cols = group_cols if chart_type == "maps": group_cols = map_group_cols elif chart_type == "candlestick": group_cols = cs_group_cols elif chart_type == "treemap": group_cols = treemap_group_cols elif chart_type == "funnel": group_cols = funnel_group_cols elif chart_type == "clustergram": group_cols = clustergram_group_cols elif chart_type == "pareto": group_cols = pareto_group_cols group_cols = make_list(group_cols) group_types = get_group_types(inputs, group_cols) if "groups" not in group_types: return [], None group_vals = run_query( handle_predefined(data_id), inputs.get("query"), global_state.get_context_variables(data_id), ) group_vals = build_group_val_options(group_vals, group_cols) selections = [] available_vals = [gv["value"] for gv in group_vals] if prev_group_vals is not None: selections = [ pgv for pgv in prev_group_vals if pgv in available_vals ] if not len(selections) and len(group_vals) <= MAX_GROUPS: selections = available_vals return group_vals, selections