def create_plot()

in jobs/desktop-mobile-mau-2020/mobile_mau/mobile_mau.py [0:0]

• 93 lines of code
• 2 McCabe index (conditional complexity)

def create_plot(platform, y_min, y_max, actuals, forecast, plot_start_date, slice_name):
    """
    Display a plot given a platform (each mobile product),
    data for actuals and forecast, and slice (Global or Tier 1).
    """
    main_metric_color = "#CA3524"
    main_metric_color_ci = "#DDDDDD"
    main_palette = [main_metric_color, main_metric_color_ci]

    ci_fillcolor = "rgba(68, 68, 68, 0.2)"
    ci_markercolor = "#444"

    data_end_date = actuals["date"].max().date()

    plotly_data = [
        go.Scatter(
            name="Actuals Lower Bound",
            x=actuals.date,
            y=actuals["low"],
            showlegend=False,
            line={"color": "rgba(0,0,255, 0.8)", "width": 0},
            mode="lines",
            marker=dict(color=ci_markercolor),
            hoverlabel={"namelength": -1},
        ),
        go.Scatter(
            name="Actuals Upper Bound",
            x=actuals.date,
            y=actuals["high"],
            showlegend=False,
            line={"color": "rgba(0,0,255, 0.8)", "width": 0},
            mode="lines",
            marker=dict(color=ci_markercolor),
            hoverlabel={"namelength": -1},
            fillcolor=ci_fillcolor,
            fill="tonexty",
        ),
        go.Scatter(
            name="Actuals",
            x=actuals.date,
            y=actuals["value"],
            showlegend=True,
            line={"color": "rgba(0,0,255, 0.8)"},
            hoverlabel={"namelength": -1},
        ),
        go.Scatter(
            name="Credible Interval",
            x=[0],
            y=[0],
            showlegend=True,
            line={"color": ci_fillcolor, "width": 10},
            mode="lines",
            hoverlabel={"namelength": -1},
        ),
        go.Scatter(
            name="Previous Year Actuals",
            x=actuals.date + pd.Timedelta("365 day"),
            y=actuals["value"],
            showlegend=True,
            line={"color": "rgba(68,120,68,0.5)", "dash": "dashdot"},
            hoverlabel={"namelength": -1},
        ),
    ]

    if forecast is not None:
        plotly_data.extend(
            [
                go.Scatter(
                    name="Forecast Lower Bound",
                    x=forecast.date,
                    y=forecast["low"],
                    showlegend=False,
                    line={"color": "rgba(0,0,255, 0.8)", "width": 0},
                    mode="lines",
                    marker=dict(color=ci_markercolor),
                    hoverlabel={"namelength": -1},
                ),
                go.Scatter(
                    name="Forecast Upper Bound",
                    x=forecast.date,
                    y=forecast["high"],
                    showlegend=False,
                    line={"color": "rgba(0,0,255, 0.8)", "width": 0},
                    mode="lines",
                    marker=dict(color=ci_markercolor),
                    hoverlabel={"namelength": -1},
                    fillcolor=ci_fillcolor,
                    fill="tonexty",
                ),
                go.Scatter(
                    name="Forecast",
                    x=forecast.date,
                    y=forecast["value"],
                    showlegend=True,
                    line={"color": main_palette[0], "dash": "dot"},
                    hoverlabel={"namelength": -1},
                ),
            ]
        )

    layout = go.Layout(
        # autosize=force_width is None,
        # width=force_width,
        # height=force_height,
        title="""\