from math import pi

import pandas as pd

from bokeh.models.formatters import TickFormatter, String, List
from bokeh.plotting import figure, show, output_file
from bokeh.sampledata.stocks import MSFT

# create a custom model for a new tick formatter
class DateGapTickFormatter(TickFormatter):
    ''' A custom TickFormatter useful for skipping dates

    Axis labels are taken from an array of date strings
    (e.g. ['Sep 01', 'Sep 02', ...]) passed to the ``date_labels``
    property.

    '''
    date_labels = List(String, help="""
    An array of date strings to map integer date indices to.
    """)

    __implementation__ = """
        _ = require "underscore"
        HasProps = require "common/has_props"

        class DateGapTickFormatter extends HasProps
          type: 'DateGapTickFormatter'

          format: (ticks) ->
            date_labels = @get("date_labels")
            return (date_labels[tick] ? "" for tick in ticks)

        module.exports =
          Model: DateGapTickFormatter
    """

df = pd.DataFrame(MSFT)[:50]

# xaxis date labels used in the custom TickFormatter
date_labels = [date.strftime('%b %d') for date in pd.to_datetime(df["date"])]

mids = (df.open + df.close)/2
spans = abs(df.close-df.open)

inc = df.close > df.open
dec = df.open > df.close
w = 0.5

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

p = figure(tools=TOOLS, plot_width=1000, toolbar_location="left")

p.title = "MSFT Candlestick with custom x axis"
p.xaxis.major_label_orientation = pi/4
p.grid[0].ticker.desired_num_ticks = 6

# use the custom TickFormatter. You must always define date_labels
p.xaxis[0].formatter = DateGapTickFormatter(date_labels = date_labels)

# x coordinates must be integers. If, for example, df.index are
# datetimes, you should replace them with a integer sequence
p.segment(df.index, df.high, df.index, df.low, color="black")
p.rect(df.index[inc], mids[inc], w, spans[inc], fill_color="#D5E1DD", line_color="black")
p.rect(df.index[dec], mids[dec], w, spans[dec], fill_color="#F2583E", line_color="black")

output_file("custom_datetime_axis.html", title="custom_datetime_axis.py example")

show(p)  # open a browser
