calendars#
A rendering of the 2014 monthly calendar.
This example demonstrates the usage of plotting several
plots together using gridplot.
A hover tooltip displays the US holidays on the significant dates.
Details
- Sampledata:
- Bokeh APIs:
bokeh.layouts.gridplot,bokeh.models.HoverTool,bokeh.models.Plot,bokeh.models.Rect,bokeh.models.Text,bokeh.document.document.Document- More info:
- Keywords:
gridplot, hover, tooltip
from calendar import Calendar, day_abbr as day_abbrs, month_name as month_names
from bokeh.document import Document
from bokeh.embed import file_html
from bokeh.layouts import gridplot
from bokeh.models import (CategoricalAxis, CategoricalScale, ColumnDataSource,
FactorRange, HoverTool, Plot, Rect, Text)
from bokeh.resources import INLINE
from bokeh.sampledata.us_holidays import us_holidays
from bokeh.util.browser import view
def make_calendar(year: int, month: int, firstweekday: str = "Mon") -> Plot:
firstweekday = list(day_abbrs).index(firstweekday)
calendar = Calendar(firstweekday=firstweekday)
month_days = [ None if not day else str(day) for day in calendar.itermonthdays(year, month) ]
month_weeks = len(month_days)//7
workday = "linen"
weekend = "lightsteelblue"
def weekday(date):
return (date.weekday() - firstweekday) % 7
def pick_weekdays(days):
return [ days[i % 7] for i in range(firstweekday, firstweekday+7) ]
day_names = pick_weekdays(day_abbrs)
week_days = pick_weekdays([workday]*5 + [weekend]*2)
source = ColumnDataSource(data=dict(
days = list(day_names)*month_weeks,
weeks = sum([ [str(week)]*7 for week in range(month_weeks) ], []),
month_days = month_days,
day_backgrounds = sum([week_days]*month_weeks, []),
))
holidays = [ (date, summary.replace("(US-OPM)", "").strip()) for (date, summary) in us_holidays
if date.year == year and date.month == month and "(US-OPM)" in summary ]
holidays_source = ColumnDataSource(data=dict(
holidays_days = [ day_names[weekday(date)] for date, _ in holidays ],
holidays_weeks = [ str((weekday(date.replace(day=1)) + date.day) // 7) for date, _ in holidays ],
month_holidays = [ summary for _, summary in holidays ],
))
xdr = FactorRange(factors=list(day_names))
ydr = FactorRange(factors=list(reversed([ str(week) for week in range(month_weeks) ])))
x_scale, y_scale = CategoricalScale(), CategoricalScale()
plot = Plot(x_range=xdr, y_range=ydr, x_scale=x_scale, y_scale=y_scale,
width=300, height=300, outline_line_color=None)
plot.title.text = month_names[month]
plot.title.text_font_size = "16px"
plot.title.text_color = "darkolivegreen"
plot.title.offset = 25
plot.min_border_left = 0
plot.min_border_bottom = 5
rect = Rect(x="days", y="weeks", width=0.9, height=0.9, fill_color="day_backgrounds", line_color="silver")
plot.add_glyph(source, rect)
rect = Rect(x="holidays_days", y="holidays_weeks", width=0.9, height=0.9, fill_color="pink", line_color="indianred")
rect_renderer = plot.add_glyph(holidays_source, rect)
text = Text(x="days", y="weeks", text="month_days", text_align="center", text_baseline="middle")
plot.add_glyph(source, text)
xaxis = CategoricalAxis()
xaxis.major_label_text_font_size = "11px"
xaxis.major_label_standoff = 0
xaxis.major_tick_line_color = None
xaxis.axis_line_color = None
plot.add_layout(xaxis, 'above')
hover_tool = HoverTool(renderers=[rect_renderer], tooltips=[("Holiday", "@month_holidays")])
plot.tools.append(hover_tool)
return plot
months = [ [ make_calendar(2014, 3*i + j + 1) for j in range(3) ] for i in range(4) ]
grid = gridplot(toolbar_location=None, children=months)
doc = Document()
doc.add_root(grid)
if __name__ == "__main__":
doc.validate()
filename = "calendars.html"
with open(filename, "w") as f:
f.write(file_html(doc, INLINE, "Calendar 2014"))
print("Wrote %s" % filename)
view(filename)