剧情（离线）Python单击事件
[英]Plotly (offline) for Python click events
问题描述
I need to get click events in Plotly (offline) in Jupyter. 
我需要在Jupyter的Plotly（脱机）中获得单击事件。
The way I am thinking to handle this is use javascript and the following command to return the values to python: 我想处理此问题的方式是使用javascript和以下命令将值返回给python：
var kernel = IPython.notebook.kernel;
kernel.execute(command);
...where command would be something like variable = xxxxx (just like here ) ...其中命令将类似于variable = xxxxx （就像这里 ）
I am stucked in the beggining of my attempt, trying to plot a chart in HTML in python (observe that I can succesfully load jQuery this way): 我陷入尝试的开始，试图用python在HTML中绘制图表（注意，我可以通过这种方式成功加载jQuery）：
from IPython.display import HTML
HTML('''
<html>
<head>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
</head>
<body>
<h3>Gráfico</h3>
<hr>
<div id="myDiv"></div>
<script>
var trace1 = {
x: [1, 2, 3, 4],
y: [10, 15, 13, 17],
mode: 'markers'
};
var trace2 = {
x: [2, 3, 4, 5],
y: [16, 5, 11, 10],
mode: 'lines'
};
var trace3 = {
x: [1, 2, 3, 4],
y: [12, 9, 15, 12],
mode: 'lines+markers'
};
var data = [ trace1, trace2, trace3 ];
var layout = {};
Plotly.newPlot('myDiv', data, layout);
</script>
</body>
</html>
''')
The error message is: 错误消息是：
ReferenceError: Plotly is not defined at eval (eval at globalEval (jquery.min.js:2), :21:17) at eval () at Function.globalEval (jquery.min.js:2) at ua (jquery.min.js:3) at n.fn.init.append (jquery.min.js:3) at OutputArea._safe_append (outputarea.js:456) at OutputArea.append_execute_result (outputarea.js:493) at OutputArea.append_output (outputarea.js:326) at OutputArea.handle_output (outputarea.js:257) at output (codecell.js:382)
1 个解决方案
解决方案1
0 2018-08-31 16:20:46
I have managed to get clicked points from this answer 我已经设法从这个答案中获得点击点
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)
Chosen = []
# 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';
var kernel = IPython.notebook.kernel;
;graph.on('plotly_selected', function(eventData) {
var x = [];
var y = [];
var colors = [];
for(var i = 0; i < %i; i++) colors.push(color1Light);
eventData.points.forEach(function(pt) {
x.push(pt.x);
y.push(pt.y);
colors[pt.pointNumber] = color1;
var comando = 'Chosen.append((' + pt.x + ', ' + pt.y + '))'
console.log(comando);
kernel.execute(comando);
});
Plotly.restyle(graph, 'marker.color', [colors], [0]);
});
""" % N)
display(HTML(plot))
In this example we are able to make a two-way communication between Javascript and Python . 在此示例中，我们能够在Javascript和Python之间进行双向通信 。 Observe that the data that creates the chart comes from Python. 请注意，创建图表的数据来自Python。 After points are chosen, I append a tuple to Chosen variable, which belongs to Pythhon scope. 选择点之后，我将一个元组附加到Chosen变量中，该变量属于Pythhon范围。
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