案例1：https://github.com/balajiciet/daypart
对案例1的讲解：https://medium.com/@balajiciet/dashboard-interactive-heatmap-visualization-using-dash-plotly-6e69cf732e34
案例2：https://github.com/mandieq/eco-frame-public
在热力图上标识数字：https://stackoverflow.com/questions/31756636/how-to-plot-annotated-heatmap-on-plotly
import plotly.plotly as py
import plotly.graph_objs as gox = ['A', 'B', 'C', 'D', 'E']
y = ['W', 'X', 'Y', 'Z']# x0 x1 x2 x3 x4
z = [[0.00, 0.00, 0.75, 0.75, 0.00], # y0[0.00, 0.00, 0.75, 0.75, 0.00], # y1[0.75, 0.75, 0.75, 0.75, 0.75], # y2[0.00, 0.00, 0.00, 0.75, 0.00]] # y3annotations = go.Annotations()
for n, row in enumerate(z):for m, val in enumerate(row):annotations.append(go.Annotation(text=str(z[n][m]), x=x[m], y=y[n],xref='x1', yref='y1', showarrow=False))colorscale = [[0, '#3D9970'], [1, '#001f3f']] # custom colorscale
trace = go.Heatmap(x=x, y=y, z=z, colorscale=colorscale, showscale=False)fig = go.Figure(data=go.Data([trace]))
fig['layout'].update(title="Annotated Heatmap",annotations=annotations,xaxis=go.XAxis(ticks='', side='top'),yaxis=go.YAxis(ticks='', ticksuffix=' '), # ticksuffix is a workaround to add a bit of paddingwidth=700,height=700,autosize=False
)
print py.plot(fig, filename='Stack Overflow 31756636', auto_open=False) # https://plot.ly/~theengineear/5179