unemployment.py — Anaconda Enterprise 4.4 documentation

Anaconda Enterprise: Documentation

# unemployment.py

    from math import pi
    import pandas as pd

    from bokeh.io import show
    from bokeh.models import (
        ColumnDataSource,
        HoverTool,
        LinearColorMapper,
        BasicTicker,
        PrintfTickFormatter,
        ColorBar,
    )
    from bokeh.plotting import figure
    from bokeh.sampledata.unemployment1948 import data

    data['Year'] = data['Year'].astype(str)
    data = data.set_index('Year')
    data.drop('Annual', axis=1, inplace=True)
    data.columns.name = 'Month'

    years = list(data.index)
    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 = ["#75968f", "#a5bab7", "#c9d9d3", "#e2e2e2", "#dfccce", "#ddb7b1", "#cc7878", "#933b41", "#550b1d"]
    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)),
                         formatter=PrintfTickFormatter(format="%d%%"),
                         label_standoff=6, border_line_color=None, location=(0, 0))
    p.add_layout(color_bar, 'right')

    p.select_one(HoverTool).tooltips = [
         ('date', '@Month @Year'),
         ('rate', '@rate%'),
    ]

    show(p)      # show the plot