日历

2014 年月历的渲染。

此示例演示了使用 gridplot 将多个绘图一起绘制的方法。

悬停工具提示在重要日期显示美国节假日。

详细信息

样本数据:

bokeh.sampledata.us_holidays

Bokeh API:

bokeh.layouts.gridplot，bokeh.models.HoverTool，bokeh.models.Plot，bokeh.models.Rect，bokeh.models.Text，bokeh.document.document.Document

更多信息:

绘图的网格布局，悬停工具

关键词:

gridplot，悬停，工具提示

# noqa: E501
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.sampledata.us_holidays import us_holidays
from bokeh.util.browser import view


def make_calendar(year: int, month: int) -> Plot:
    calendar = Calendar()

    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() - calendar.firstweekday) % 7

    def pick_weekdays(days):
        return [ days[i % 7] for i in range(calendar.firstweekday, calendar.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           = [day for week in range(month_weeks) for day in [str(week)]*7],
        month_days      = month_days,
        day_backgrounds = [ day for week in [week_days]*month_weeks for day in week],
    ))

    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, title="Calendar 2014"))
    print(f"Wrote {filename}")
    view(filename)