Python plotly.graph_objs.Line() Examples

The following are 5 code examples of plotly.graph_objs.Line(). 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 plotly.graph_objs , or try the search function .
Example #1
Source File: utils.py    From Dist-A3C with MIT License 7 votes vote down vote up 
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)
Example #2
Source File: utils.py    From NoisyNet-A3C with MIT License 7 votes vote down vote up 
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)
Example #3
Source File: utils.py    From ACER with MIT License 7 votes vote down vote up 
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)
Example #4
Source File: pc_utils.py    From malmo-challenge with MIT License 6 votes vote down vote up 
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)
Example #5
Source File: utils.py    From a3c-mujoco with MIT License 4 votes vote down vote up 
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)