Function scatterplot_dict

plotly/figure_factory/_scatterplot.py:202–354

Refer to FigureFactory.create_scatterplotmatrix() for docstring Returns fig for scatterplotmatrix with both index and colormap picked. Used if colormap is a dictionary with index values as keys pointing to colors. Forces colormap_type to behave categorically because it would no

(
    dataframe,
    headers,
    diag,
    size,
    height,
    width,
    title,
    index,
    index_vals,
    endpts,
    colormap,
    colormap_type,
    **kwargs,
)

def scatterplot_dict(
    dataframe,
    headers,
    diag,
    size,
    height,
    width,
    title,
    index,
    index_vals,
    endpts,
    colormap,
    colormap_type,
    **kwargs,
):
    """
    Refer to FigureFactory.create_scatterplotmatrix() for docstring

    Returns fig for scatterplotmatrix with both index and colormap picked.
    Used if colormap is a dictionary with index values as keys pointing to
    colors. Forces colormap_type to behave categorically because it would
    not make sense colors are assigned to each index value and thus
    implies that a categorical approach should be taken

    """

    theme = colormap
    dim = len(dataframe)
    fig = make_subplots(rows=dim, cols=dim, print_grid=False)
    trace_list = []
    legend_param = 0
    # Work over all permutations of list pairs
    for listy in dataframe:
        for listx in dataframe:
            # create a dictionary for index_vals
            unique_index_vals = {}
            for name in index_vals:
                if name not in unique_index_vals:
                    unique_index_vals[name] = []

            # Fill all the rest of the names into the dictionary
            for name in sorted(unique_index_vals.keys()):
                new_listx = []
                new_listy = []
                for j in range(len(index_vals)):
                    if index_vals[j] == name:
                        new_listx.append(listx[j])
                        new_listy.append(listy[j])
                # Generate trace with VISIBLE icon
                if legend_param == 1:
                    if (listx == listy) and (diag == "histogram"):
                        trace = graph_objs.Histogram(
                            x=new_listx, marker=dict(color=theme[name]), showlegend=True
                        )
                    elif (listx == listy) and (diag == "box"):
                        trace = graph_objs.Box(
                            y=new_listx,
                            name=None,