Function scatterplot_theme

plotly/figure_factory/_scatterplot.py:357–833

Refer to FigureFactory.create_scatterplotmatrix() for docstring Returns fig for scatterplotmatrix with both index and colormap picked

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

def scatterplot_theme(
    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

    """

    # Check if index is made of string values
    if isinstance(index_vals[0], str):
        unique_index_vals = []
        for name in index_vals:
            if name not in unique_index_vals:
                unique_index_vals.append(name)
        n_colors_len = len(unique_index_vals)

        # Convert colormap to list of n RGB tuples
        if colormap_type == "seq":
            foo = clrs.color_parser(colormap, clrs.unlabel_rgb)
            foo = clrs.n_colors(foo[0], foo[1], n_colors_len)
            theme = clrs.color_parser(foo, clrs.label_rgb)

        if colormap_type == "cat":
            # leave list of colors the same way
            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] = []

                c_indx = 0  # color index
                # Fill all the rest of the names into the dictionary
                for name in sorted(unique_index_vals.keys()):
                    new_listx = []
                    new_listy = []