我们从Python开源项目中，提取了以下7个代码示例，用于说明如何使用plotly.graph_objs.Line()。
def plot_line(xs, ys_population, filename, y_title=''): max_colour = 'rgb(0, 132, 180)' mean_colour = 'rgb(0, 172, 237)' std_colour = 'rgba(29, 202, 255, 0.2)' ys = torch.Tensor(ys_population) ys_min = ys.min(1)[0].squeeze() ys_max = ys.max(1)[0].squeeze() ys_mean = ys.mean(1).squeeze() ys_std = ys.std(1).squeeze() ys_upper, ys_lower = ys_mean + ys_std, ys_mean - ys_std trace_max = Scatter(x=xs, y=ys_max.numpy(), line=Line(color=max_colour, dash='dash'), name='Max') trace_upper = Scatter(x=xs, y=ys_upper.numpy(), line=Line(color='transparent'), name='+1 Std. Dev.', showlegend=False) trace_mean = Scatter(x=xs, y=ys_mean.numpy(), fill='tonexty', fillcolor=std_colour, line=Line(color=mean_colour), name='Mean') trace_lower = Scatter(x=xs, y=ys_lower.numpy(), fill='tonexty', fillcolor=std_colour, line=Line(color='transparent'), name='-1 Std. Dev.', showlegend=False) trace_min = Scatter(x=xs, y=ys_min.numpy(), line=Line(color=max_colour, dash='dash'), name='Min') plotly.offline.plot({ 'data': [trace_upper, trace_mean, trace_lower, trace_min, trace_max], 'layout': dict(xaxis={'title': 'Step'}, yaxis={'title': y_title}) }, filename=filename, auto_open=False)
def _make_half_violin(x, y, fillcolor='#1f77b4', linecolor='rgb(0, 0, 0)'): """ Produces a sideways probability distribution fig violin plot. """ from plotly.graph_objs import graph_objs text = ['(pdf(y), y)=(' + '{:0.2f}'.format(x[i]) + ', ' + '{:0.2f}'.format(y[i]) + ')' for i in range(len(x))] return graph_objs.Scatter( x=x, y=y, mode='lines', name='', text=text, fill='tonextx', fillcolor=fillcolor, line=graph_objs.Line(width=0.5, color=linecolor, shape='spline'), hoverinfo='text', opacity=0.5 )
def _make_quartiles(q1, q3): """ Makes the upper and lower quartiles for a violin plot. """ from plotly.graph_objs import graph_objs return graph_objs.Scatter( x=[0, 0], y=[q1, q3], text=['lower-quartile: ' + '{:0.2f}'.format(q1), 'upper-quartile: ' + '{:0.2f}'.format(q3)], mode='lines', line=graph_objs.Line( width=4, color='rgb(0,0,0)' ), hoverinfo='text' )
def plot_line(xs, ys_population): max_colour = 'rgb(0, 132, 180)' mean_colour = 'rgb(0, 172, 237)' std_colour = 'rgba(29, 202, 255, 0.2)' ys = torch.Tensor(ys_population) ys_min = ys.min(1)[0].squeeze() ys_max = ys.max(1)[0].squeeze() ys_mean = ys.mean(1).squeeze() ys_std = ys.std(1).squeeze() ys_upper, ys_lower = ys_mean + ys_std, ys_mean - ys_std trace_max = Scatter(x=xs, y=ys_max.numpy(), line=Line(color=max_colour, dash='dash'), name='Max') trace_upper = Scatter(x=xs, y=ys_upper.numpy(), line=Line(color='transparent'), name='+1 Std. Dev.', showlegend=False) trace_mean = Scatter(x=xs, y=ys_mean.numpy(), fill='tonexty', fillcolor=std_colour, line=Line(color=mean_colour), name='Mean') trace_lower = Scatter(x=xs, y=ys_lower.numpy(), fill='tonexty', fillcolor=std_colour, line=Line(color='transparent'), name='-1 Std. Dev.', showlegend=False) trace_min = Scatter(x=xs, y=ys_min.numpy(), line=Line(color=max_colour, dash='dash'), name='Min') plotly.offline.plot({ 'data': [trace_upper, trace_mean, trace_lower, trace_min, trace_max], 'layout': dict(title='Rewards', xaxis={'title': 'Step'}, yaxis={'title': 'Average Reward'}) }, filename='rewards.html', auto_open=False)
def _make_non_outlier_interval(d1, d2): """ Returns the scatterplot fig of most of a violin plot. """ from plotly.graph_objs import graph_objs return graph_objs.Scatter( x=[0, 0], y=[d1, d2], name='', mode='lines', line=graph_objs.Line(width=1.5, color='rgb(0,0,0)') )
def plot_line(xs, ys_population): max_colour = 'rgb(0, 132, 180)' mean_colour = 'rgb(0, 172, 237)' std_colour = 'rgba(29, 202, 255, 0.2)' ys = torch.Tensor(ys_population) ys_min = ys.min(1)[0].squeeze() ys_max = ys.max(1)[0].squeeze() ys_mean = ys.mean(1).squeeze() ys_std = ys.std(1).squeeze() ys_upper, ys_lower = ys_mean + ys_std, ys_mean - ys_std trace_max = Scatter( x=xs, y=ys_max.numpy(), line=Line( color=max_colour, dash='dash'), name='Max') trace_upper = Scatter( x=xs, y=ys_upper.numpy(), line=Line(color='transparent'), name='+1 Std. Dev.', showlegend=False) trace_mean = Scatter( x=xs, y=ys_mean.numpy(), fill='tonexty', fillcolor=std_colour, line=Line(color=mean_colour), name='Mean') trace_lower = Scatter( x=xs, y=ys_lower.numpy(), fill='tonexty', fillcolor=std_colour, line=Line(color='transparent'), name='-1 Std. Dev.', showlegend=False) trace_min = Scatter( x=xs, y=ys_min.numpy(), line=Line( color=max_colour, dash='dash'), name='Min') plotly.offline.plot( { 'data': [trace_upper, trace_mean, trace_lower, trace_min, trace_max], 'layout': dict( title='Rewards', xaxis={'title': 'Step'}, yaxis={'title': 'Average Reward'}) }, filename=os.path.join('results', 'rewards.html'), auto_open=False)
