cooccurrences.py 文件源码

def update(attrname, old, new):
    new_selected, new_x_factors, new_y_factors = get_subset(dictionary_selector.value, dictionary_selector.value)
    bins = np.linspace(new_selected.counts.min(), new_selected.counts.max(), 10) # bin labels must be one more than len(colorpalette)
    new_selected["color"] = pd.cut(new_selected.counts, bins, labels = list(reversed(palettes.Blues9)), include_lowest=True)
    new_selected["wikidataID"] = new_selected["x"].map(lambda x: wikidataIDs.get(x))

    fig.xaxis.axis_label = dictionary_selector.value
    fig.yaxis.axis_label = dictionary_selector.value
    fig.title.text = "Top %d fact co-occurrences selected" % top_n.value

    src = ColumnDataSource(dict(
        x=new_selected["x"].astype(object),
        y=new_selected["y"].astype(object),
        color=new_selected["color"].astype(object),
        wikidataID=new_selected["wikidataID"],
        counts=new_selected["counts"].astype(int),
        raw=new_selected["raw"].astype(int)))
    source.data.update(src.data)

    fig.x_range.update(factors=new_x_factors[:top_n.value])
    fig.y_range.update(factors=new_y_factors[:top_n.value])