Python bokeh.palettes.Category20() Examples

The following are 2 code examples of bokeh.palettes.Category20(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module bokeh.palettes , or try the search function .
Example #1
Source File: dataIndicatorsHandler.py    From stock with Apache License 2.0 5 votes vote down vote up 
def add_plot(stockStat, conf):
    p_list = []
    logging.info("############################", type(conf["dic"]))
    # 循环 多个line 信息。
    for key, val in enumerate(conf["dic"]):
        logging.info(key)
        logging.info(val)

        p1 = figure(width=1000, height=150, x_axis_type="datetime")
        # add renderers
        stockStat["date"] = pd.to_datetime(stockStat.index.values)
        # ["volume","volume_delta"]
        # 设置20个颜色循环，显示0 2 4 6 号序列。
        p1.line(stockStat["date"], stockStat[val], color=Category20[20][key * 2])

        # Set date format for x axis 格式化。
        p1.xaxis.formatter = DatetimeTickFormatter(
            hours=["%Y-%m-%d"], days=["%Y-%m-%d"],
            months=["%Y-%m-%d"], years=["%Y-%m-%d"])
        # p1.xaxis.major_label_orientation = radians(30) #可以旋转一个角度。

        p_list.append([p1])

    gp = gridplot(p_list)
    script, div = components(gp)
    return {
        "script": script,
        "div": div,
        "title": conf["title"],
        "desc": conf["desc"]
    }
Example #2
Source File: visualization.py    From fuzzy-c-means with Apache License 2.0 5 votes vote down vote up 
def color_gen():
    for c in itertools.cycle(pallette[10]):
        yield c