本文整理汇总了Python中plotly.graph_objs.Line方法的典型用法代码示例。如果您正苦于以下问题：Python graph_objs.Line方法的具体用法？Python graph_objs.Line怎么用？Python graph_objs.Line使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类plotly.graph_objs的用法示例。
在下文中一共展示了graph_objs.Line方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: plot_line
# 需要导入模块: from plotly import graph_objs [as 别名]
# 或者: from plotly.graph_objs import Line [as 别名]
def plot_line(xs, ys_population, path=''):
max_colour, mean_colour, std_colour = 'rgb(0, 132, 180)', 'rgb(0, 172, 237)', '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(path, 'rewards.html'), auto_open=False) 示例2: plot_line
# 需要导入模块: from plotly import graph_objs [as 别名]
# 或者: from plotly.graph_objs import Line [as 别名]
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) 示例3: plot_line
# 需要导入模块: from plotly import graph_objs [as 别名]
# 或者: from plotly.graph_objs import Line [as 别名]
def plot_line(xs, ys_population, save_dir):
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(save_dir, 'rewards.html'), auto_open=False) 示例4: plot_line
# 需要导入模块: from plotly import graph_objs [as 别名]
# 或者: from plotly.graph_objs import Line [as 别名]
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) 示例5: plot_line
# 需要导入模块: from plotly import graph_objs [as 别名]
# 或者: from plotly.graph_objs import Line [as 别名]
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)