2f045e23607f4660d3920d6a91e322311516d6d6,examples/plotting/file/unemployment.py,,,#,8

Before Change

data["Year"] = [str(x) for x in data["Year"]]

years = list(data["Year"])
months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]

data = data.set_index("Year")

// this is the colormap from the original NYTimes plot

After Change

months = list(data.columns)

// reshape to 1D array or rates with a month and year for each row.
df = pd.DataFrame(data.stack(), columns=["rate"]).reset_index()

// this is the colormap from the original NYTimes plot
colors = ["/�f", "//a5bab7", "//c9d9d3", "//e2e2e2", "//dfccce", "//ddb7b1", "//cc7878", "/묽b41", "/릾b1d"]
mapper = LinearColorMapper(palette=colors, low=df.rate.min(), high=df.rate.max())

source = ColumnDataSource(df)

TOOLS = "hover,save,pan,box_zoom,reset,wheel_zoom"

p = figure(title="US Unemployment ({0} - {1})".format(years[0], years[-1]),
           x_range=years, y_range=list(reversed(months)),
           x_axis_location="above", plot_width=900, plot_height=400,
           tools=TOOLS, toolbar_location="below")

p.grid.grid_line_color = None
p.axis.axis_line_color = None
p.axis.major_tick_line_color = None
p.axis.major_label_text_font_size = "5pt"
p.axis.major_label_standoff = 0
p.xaxis.major_label_orientation = pi / 3

p.rect(x="Year", y="Month", width=1, height=1,
       source=source,
       fill_color={"field": "rate", "transform": mapper},
       line_color=None)

color_bar = ColorBar(color_mapper=mapper, major_label_text_font_size="5pt",
                     ticker=BasicTicker(desired_num_ticks=len(colors)),
                     location=(0, 0))
p.add_layout(color_bar, "right")

p.select_one(HoverTool).tooltips = [
    ("date", "@Month @Year"),
    ("rate", "@rate"),

Instances