Question

我有dataframe坐标和时间戳，我正在尝试将它们显示为heatmap，我可以使用滑动条来调整时间并仅选择链接到的点这个特定时刻。为此，我使用Bokeh创建窗口小部件并输入variable H，定义小时（介于0和23之间）。由于我在heatmaps中找不到Bokeh的任何开箱即用工具，我构建了一个2D直方图，并将其绘制为Bokeh图像。

但遗憾的是，滑块在播放时没有更新数据......有什么想法，为什么它不起作用？

x=itineraries['Itinerary Longitude Point A']
y=itineraries['Itinerary Latitude Point A']
a=itineraries['Itinerary Longitude Point A']
b=itineraries['Itinerary Latitude Point A']
z=itineraries['Itinerary Created Hour of Day']

source = ColumnDataSource(data=dict(x=x, y=y,z=z,a=a, b=b, p=p))
original_source = ColumnDataSource(data=dict(x=a, y=b,z=z))

plot = figure(y_range=(-24, -23), x_range=(-47, -46))

C, xedges, yedges = np.histogram2d(source.to_df()['y'], source.to_df()['x'], bins=75, range=[[-24,-23], [-47,-46]], normed = True)
X, Y = np.meshgrid(xedges, yedges)

plot.image(image = [C], x=-47, y=-24, dw=1, dh=1, 
           palette=['#f7fbff',
                    '#deebf7',
                    '#c6dbef',
                    '#9ecae1',
                    '#6baed6',
                    '#4292c6',
                    '#2171b5',
                    '#FFFFFF'])


callback = CustomJS(args=dict(source=source), code="""
    var data = source.data;
    var H = cb_obj.value;

    x = data['x']
    y = data['y']
    z = data['z']
    a = data['a']
    b = data['b']

    for (i = 0; i < x.length; i++) 
    {
        if (z[i]==H) 
        {
            x[i]=a[i]
            y[i]=b[i]
        }
        else
        {
            x[i]=-23
            y[i]=-47
        }

    }

    source.change.emit();
""")

hour_slider = Slider(start=0, end=23, value=12, step=1, title="Hour of day")
hour_slider.js_on_change('value', callback)

layout = row(
    plot,
    widgetbox(hour_slider),
)

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

show(layout)

欢迎任何提示！

Bokeh中的交互式热图

0 个答案: