如何从离线情节python jupyter笔记本中的选定点获取数据？

Question

示例代码：

from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot

import plotly.graph_objs as go

import numpy as np

N = 30
random_x = np.random.randn(N)
random_y = np.random.randn(N)

# Create a trace
trace = go.Scatter(
    x = random_x,
    y = random_y,
    mode = 'markers'
)

data = [trace]

# Plot and embed in ipython notebook!
iplot(data, filename='basic-scatter')

[]

如何从选择中获取x，y数据或索引的副本？

Answer 1

因此，如果你想在Jupyter笔记本中使用javascript，你有两个选择。

使用display(HTML())方法在jupyter notebook中渲染html，下面的示例代码演示了此方法！

另一种方法是使用IPython Magic，阅读更多here，代码将会是这样的。

  

%% html
  ％html [--isolated]将单元格渲染为HTML块

     

可选参数：   --isolated将单元格注释为“隔离”。隔离的单元格在自己的标记内呈现

%%html
<span> naren</span>

您也可以使用以上方法呈现HTML。

请检查以下代码，我已从plotly javascript events docs获取select event的代码并使其适用于jupyter！

from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import plotly.graph_objs as go
from plotly import tools
import pandas as pd
import numpy as np
from datetime import datetime
init_notebook_mode(connected=True)
from IPython.core.display import display, HTML


N = 30
random_x = np.random.randn(N)
random_y = np.random.randn(N)

# Create a trace
trace = go.Scatter(
    x = random_x,
    y = random_y,
    mode = 'markers'
)

data = [trace]

# Plot and embed in ipython notebook!
plot = plot(data, filename='basic-scatter', include_plotlyjs=False, output_type='div')
divId=plot.split("id=\"",1)[1].split('"',1)[0]
plot = plot.replace("Plotly.newPlot", "var graph = Plotly.newPlot")
plot = plot.replace("</script>", """
var graph = document.getElementById('"""+divId+"""');
var color1 = '#7b3294';
var color1Light = '#c2a5cf';
var colorX = '#ffa7b5';
var colorY = '#fdae61';
;graph.on('plotly_selected', function(eventData) {
  var x = [];
  var y = [];

  var colors = [];
  for(var i = 0; i < N; i++) colors.push(color1Light);

  eventData.points.forEach(function(pt) {
    x.push(pt.x);
    y.push(pt.y);
    colors[pt.pointNumber] = color1;
  });


  Plotly.restyle(graph, 'marker.color', [colors], [0]);
});
""")
display(HTML(plot))