p = figure(
    title="Jordan: Weekly Nighttime Lights (2022-2023)",
    width=800,
    height=700,
    x_axis_label="Date",
    x_axis_type="datetime",
    y_axis_label=r"Radiance [nW $$cm^{-2}$$ $$sr^{-1}$$]",
    tools="pan,wheel_zoom,box_zoom,reset,save,box_select",
)
p.add_layout(
    Title(
        text=f"Weekly Adm2 Radiance Average",
        text_font_size="12pt",
        text_font_style="italic",
    ),
    "above",
)
p.add_layout(
    Title(
        text=f"Data Source: NASA Black Marble. Creation date: {datetime.today().strftime('%d %B %Y')}. Feedback: datalab@worldbank.org.",
        text_font_size="10pt",
        text_font_style="italic",
    ),
    "below",
)
p.add_layout(Legend(), "right")

p.add_tools(
    HoverTool(
        tooltips=[
            ("Week", "@x{%W} (@x{%F})"),
            ("Radiance", "@y{0.00}"),
        ],
        formatters={"@x": "datetime"},
    )
)
renderers = []
for column, color in zip(data.columns, cc.b_glasbey_category10):
    try:
        r = p.line(
            data.index,
            data[column],
            legend_label=column[1],
            line_color=color,
            line_width=2,
        )
        r.muted = True
        renderers.append(r)
    except:
        pass

renderers[0].muted = False

p.legend.location = "bottom_left"
p.legend.click_policy = "mute"
p.title.text_font_size = "16pt"
p.sizing_mode = "scale_both"

output_notebook()
show(p)

p = figure(
    title="Jordan: Percent Change in Nighttime Lights Radiance",
    width=800,
    height=800,
    x_axis_label="Date",
    x_axis_type="datetime",
    y_axis_label="Radiance Percent Change (%)",
    tools="pan,wheel_zoom,box_zoom,reset,save,box_select",
)
p.xaxis.major_label_orientation = math.pi / 4
p.add_layout(
    Title(
        text=f"Percent change (compared to 2022) in NTL radiance for each second-level administrative division",
        text_font_size="12pt",
        text_font_style="italic",
    ),
    "above",
)
p.add_layout(
    Title(
        text=f"Source: NASA Black Marble. Creation date: {datetime.today().strftime('%d %B %Y')}. Feedback: datalab@worldbank.org.",
        text_font_size="10pt",
        text_font_style="italic",
    ),
    "below",
)
p.add_layout(Legend(), "right")
p.renderers.extend(
    [
        Span(
            location=datetime(2023, 10, 7),
            dimension="height",
            line_color="gray",
            line_width=1.5,
            line_dash=(4, 4),
        ),
    ]
)
p.add_tools(
    HoverTool(
        tooltips=[
            ("Week", "@x{%W} (@x{%F})"),
            ("Percent Change", "@y{0.00}% (2022 baseline)"),
        ],
        formatters={"@x": "datetime"},
    )
)
renderers = []
for column, color in zip(data.columns, cc.b_glasbey_category10):
    r = p.line(
        data.index,
        data[column],
        legend_label=str(column[1]),
        line_color=color,
        line_width=2,
    )
    r.visible = False
    renderers.append(r)

renderers[0].visible = True

p.legend.location = "bottom_left"
p.legend.click_policy = "hide"
p.title.text_font_size = "12pt"
p.sizing_mode = "scale_both"

show(p)

p = figure(
    title="Jordan: Percent Change in Nighttime Lights Radiance",
    width=800,
    height=800,
    x_axis_label="Date",
    x_axis_type="datetime",
    y_axis_label="Radiance Percent Change (%)",
    tools="pan,wheel_zoom,box_zoom,reset,save,box_select",
)
p.xaxis.major_label_orientation = math.pi / 4
p.add_layout(
    Title(
        text=f"Percent change week over week in NTL radiance for each second-level administrative division",
        text_font_size="12pt",
        text_font_style="italic",
    ),
    "above",
)
p.add_layout(
    Title(
        text=f"Source: NASA Black Marble. Creation date: {datetime.today().strftime('%d %B %Y')}. Feedback: datalab@worldbank.org.",
        text_font_size="10pt",
        text_font_style="italic",
    ),
    "below",
)
p.add_layout(Legend(), "right")
p.renderers.extend(
    [
        Span(
            location=datetime(2023, 10, 7),
            dimension="height",
            line_color="gray",
            line_width=1.5,
            line_dash=(4, 4),
        ),
    ]
)
p.add_tools(
    HoverTool(
        tooltips=[
            ("Week", "@x{%W} (@x{%F})"),
            ("Percent Change", "@y{0.00}% (WOW)"),
        ],
        formatters={"@x": "datetime"},
    )
)
renderers = []
for column, color in zip(data.columns, cc.b_glasbey_category10):
    r = p.line(
        data.index,
        data[column],
        legend_label=str(column[1]),
        line_color=color,
        line_width=2,
    )
    r.visible = False
    renderers.append(r)

renderers[0].visible = True

p.legend.location = "bottom_left"
p.legend.click_policy = "hide"
p.title.text_font_size = "12pt"
p.sizing_mode = "scale_both"

show(p)