bounds

from datetime import datetime, timedelta

import numpy as np

from bokeh.layouts import column, row
from bokeh.models import LinearAxis, Range1d
from bokeh.plotting import figure, show
from bokeh.sampledata.stocks import AAPL, GOOG

# Plot where bounds are set by auto
N = 4000
x = np.random.random(size=N) * 100
y = np.random.random(size=N) * 100
radii = np.random.random(size=N) * 1.5
colors = ["#%02x%02x%02x" % (int(r), int(g), 150) for r, g in zip(50 + 2 * x, 30 + 2 * y)]
plot_default = figure(tools='pan, box_zoom, wheel_zoom, reset',
                      title="Cannot pan outside data (bounds='auto')",
                      lod_threshold=None)
plot_default.scatter(x, y, radius=radii, fill_color=colors, fill_alpha=0.6, line_color=None)
plot_default.x_range.bounds = 'auto'
plot_default.y_range.bounds = 'auto'


# Plot where ranges are manually set
x_range = Range1d(0, 3, bounds=(-1, 3.5), min_interval=1.5)
y_range = Range1d(0, 3, bounds=(-0.5, 4), min_interval=1.5)
plot_range = figure(tools='pan, box_zoom, wheel_zoom, reset',
                    x_range=x_range, y_range=y_range,
                    title="Manual bounds x:(-1, 3.5) y:(-0.5, 4) min_interval:1.5")
plot_range.rect(x=[1, 2], y=[1, 1], width=0.9, height=0.9)


# Manually set y_max only
x_range = Range1d(0, 3, max_interval=4)
y_range = Range1d(0, 3, bounds=(None, 3), max_interval=4)
plot_range_un = figure(tools='pan, wheel_zoom, reset',
                       x_range=x_range, y_range=y_range,
                       title="Unbounded (except for y_max=3 and max_interval=4)")
plot_range_un.rect(x=[1, 2], y=[1, 1], width=0.9, height=0.9, color='#043A8D')



# Bounded on reversed ranges (except for y_max)
x_range = Range1d(3, 0, bounds=(-1, 3.5), min_interval=1.5)
y_range = Range1d(3, 0, bounds=(-0.5, 4), min_interval=1.5)
plot_range_rev = figure(tools='pan,wheel_zoom,reset',
                        x_range=x_range, y_range=y_range,
                        title="Manual bounds x:(-1, 3.5) y:(-0.5, 4) min_range:1.5 (reverse ranges)")
plot_range_rev.rect(x=[1, 2], y=[1, 1], width=0.9, height=0.9, color='#8CBEDB')



# Chart where limits are set on a categorical range
fruits = {
    'fruit': [
        'apples', 'apples', 'apples', 'apples', 'apples',
        'pears', 'pears', 'pears', 'pears', 'pears',
        'bananas', 'bananas', 'bananas', 'bananas', 'bananas'
    ],
    'fruit_count': [
        4, 5, 8, 12, 4,
        6, 5, 4, 8, 7,
        1, 2, 4, 8, 12
    ],
    'year': [
        '2009', '2010', '2011', '2012', '2013',
        '2009', '2010', '2011', '2012', '2013',
        '2009', '2010', '2011', '2012', '2013']
}

# Plot with multiple ranges that are bounded
x = np.array(AAPL['date'], dtype=np.datetime64)
x = x[0:1000]
apple_y = AAPL['adj_close'][0:1000]
google_y = GOOG['adj_close'][0:1000]

x_range = Range1d(
    start=datetime(2000, 1, 1), end=datetime(2004, 12, 31),
    bounds=(datetime(2000, 1, 1), datetime(2006, 12, 31)),
    min_interval=timedelta(100),
)
y_range = Range1d(start=0, end=40, bounds=(0, 60))
y_range_extra = Range1d(start=300, end=700, bounds=(200, 1000))

plot_extra = figure(x_axis_type="datetime",
                    x_range=x_range, y_range=y_range,
                    title="Multiple ranges x:(2000/1/1, 2006/12/31), y1:(10, 60), y2:(200, 1000)")
plot_extra.line(x, apple_y, color='lightblue')
plot_extra.extra_y_ranges = {'goog': y_range_extra}
plot_extra.line(x, google_y, color='pink', y_range_name='goog')
plot_extra.add_layout(LinearAxis(y_range_name="goog", major_label_text_color='pink'), 'left')

# Tweak the formats to make it all readable
plots = [plot_default, plot_range, plot_range_un, plot_range_rev, plot_extra]

show(column(plot_default,
            row(plot_range, plot_range_un, plot_range_rev),
            plot_extra))