Cle*_*leb 5 javascript python ajax flask bokeh
我有一个类似的问题,因为这一个.我有一个包含多个元素的网站,例如表格和散景图,我想在用户提供特定输入后更新.虽然我可以为表格完成此操作,但我不知道如何更新散景图.
在下面的示例中,我使用一个最小示例,其中用户输入确定表的维度.所以输出看起来像这样:
该表的更新效果很好并且符合预期,但是,我很难相应地更新绘图.我可以轻松地使用它进行初始化(整个代码可以在本文末尾找到):
@app.route('/')
def index():
# just an initial figure
p = figure(plot_width=150, plot_height=100)
p.line([1, 2, 3], [1, 2, 3])
# save(p, 'testing.html')
script_bok, div_bok = components(p)
return render_template('index.html', div_bok=div_bok, script_bok=script_bok)
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然后可以通过获取用户的选择
@app.route('/_get_table')
def get_table():
nrow = request.args.get('nrow', type=int)
ncol = request.args.get('ncol', type=int)
# the table we want to display
df = pd.DataFrame(np.random.randint(0, 10, size=(nrow, ncol)))
# the updated/new plot
p = figure(plot_width=150, plot_height=100)
p.line(list(range(nrow)), list(range(nrow)))
# save(p, 'testing.html')
script_bok, div_bok = components(p)
# how would I pass those now?
return jsonify(my_table=json.loads(df.to_json(orient="split"))["data"],
columns=[{"title": str(col)} for col in json.loads(df.to_json(orient="split"))["columns"]],
div_bok=div_bok,
script_bok=script_bok)
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问题是:我现在如何提供新组件,index.html以便绘图与表一起更新,但页面上的所有其他元素都不受影响?
现在有两个答案可以解决这个问题.我仍然决定用赏金来找到更好的答案.可以改进的事情:
1)现在,绘图始终是从头开始绘制的,理想情况下,只会更新数据.
2)有没有办法避免额外的模板(在它下面被称为update_content.html)?
如果没有其他答案显示,我非常乐意为@Anthonydouc提供积分,因为他的答案很好.
这是我的整个代码:
from flask import Flask, render_template, request, jsonify
import pandas as pd
import numpy as np
import json
from bokeh.plotting import figure, show, save
from bokeh.embed import components
# Initialize the Flask application
app = Flask(__name__)
@app.route('/')
def index():
# just an initial figure
p = figure(plot_width=150, plot_height=100)
p.line([1, 2, 3], [1, 2, 3])
# save(p, 'testing.html')
script_bok, div_bok = components(p)
return render_template('index.html', div_bok=div_bok, script_bok=script_bok)
@app.route('/_get_table')
def get_table():
nrow = request.args.get('nrow', type=int)
ncol = request.args.get('ncol', type=int)
# the table we want to display
df = pd.DataFrame(np.random.randint(0, 10, size=(nrow, ncol)))
# the updated/new plot
p = figure(plot_width=150, plot_height=100)
p.line(list(range(nrow)), list(range(nrow)))
# save(p, 'testing.html')
script_bok, div_bok = components(p)
# how would I pass those now?
return jsonify(my_table=json.loads(df.to_json(orient="split"))["data"],
columns=[{"title": str(col)} for col in json.loads(df.to_json(orient="split"))["columns"]],
div_bok=div_bok,
script_bok=script_bok)
if __name__ == '__main__':
app.run(debug=True, threaded=True)
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和我的 index.html
<!DOCTYPE html>
<html lang="en">
<head>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css">
<link href="https://cdn.datatables.net/1.10.16/css/jquery.dataTables.min.css" rel="stylesheet">
<link href="http://cdn.bokeh.org/bokeh/release/bokeh-0.12.15.min.css" rel="stylesheet" type="text/css">
<link href="http://cdn.bokeh.org/bokeh/release/bokeh-widgets-0.12.15.min.css" rel="stylesheet" type="text/css">
</head>
<body>
<div class="container">
<div class="header">
<h3 class="text-muted">some stuff</h3>
</div>
<hr class="mb-4">
<div class="row">
<div class="col-md-8">
<form id="input_data_form" class="needs-validation" novalidate>
<div class="row">
<div class="col-md-6 mb-3">
<label for="nrow">rows</label>
<input type="number" class="form-control" id="nrow" min="0" step="1" placeholder="" value="2" required>
<div class="invalid-feedback">
please provide an integer
</div>
</div>
<div class="col-md-6 mb-3">
<label for="ncol">columns</label>
<input type="number" class="form-control" id="ncol" min="0" step="1" placeholder="" value="2" required>
<div class="invalid-feedback">
please provide an integer
</div>
</div>
</div>
<div class="form-row text-center">
<div class="col-12">
<button id="calculate" type="submit" class="btn btn-primary">Calculate!</button>
</div>
</div>
</form>
</div>
<div class="col-md-4">
<div class="header">
<h5 class="text-muted">Plot results</h5>
</div>
{{div_bok|safe}}
{{script_bok|safe}}
</div>
</div>
<hr class="mb-4">
<table id="a_nice_table" class="table table-striped"></table>
</div>
<script src="https://code.jquery.com/jquery-3.2.1.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.12.9/umd/popper.min.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/js/bootstrap.min.js"></script>
<script src="https://cdn.datatables.net/1.10.16/js/jquery.dataTables.min.js" type="text/javascript"></script>
<script src="http://cdn.bokeh.org/bokeh/release/bokeh-0.12.15.min.js"></script>
<script src="http://cdn.bokeh.org/bokeh/release/bokeh-widgets-0.12.15.min.js"></script>
<script type="text/javascript">
$(document).ready(function() {
var table = null;
$('#input_data_form').submit(function (event) {
event.preventDefault();
if ($('#input_data_form')[0].checkValidity() === false) {
event.stopPropagation();
if (table !== null) {
table.destroy();
table = null;
$("#a_nice_table").empty();
}
} else {
$.getJSON('/_get_table', {
nrow: $("#nrow").val(),
ncol: $("#ncol").val()
}, function(data) {
//document.body.append($(data.script_bok)[0]);
//$("#bokeh_plot").html(data.div_bok);
if (table !== null) {
table.destroy();
table = null;
$("#a_nice_table").empty();
}
table = $("#a_nice_table").DataTable({
data: data.my_table,
columns: data.columns
});
});
return false;
}
$('#input_data_form').addClass('was-validated');
});
});
</script>
</body>
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我已从您的示例中删除了该表,并专注于更新散景图.需要注意的是,在此示例中,每次按计算时都会重新创建绘图.
现在有三个文件 - 服务器代码(app.py),基本模板(index.html)和仅渲染散景图(update_content.html)的模板.两个模板都需要照常放在模板文件夹中.
'_get_table'端点现在返回包含散景图的渲染html.单击计算按钮将触发回调,该回调又向此端点提交发布请求.app.py:
from flask import Flask, render_template, request, jsonify
import pandas as pd
import numpy as np
import json
from bokeh.plotting import figure, show, save
from bokeh.embed import components
# Initialize the Flask application
app = Flask(__name__)
@app.route('/')
def index():
# just an initial figure
p = figure(plot_width=150, plot_height=100)
p.line([1, 2, 3], [1, 2, 3])
# save(p, 'testing.html')
script_bok, div_bok = components(p)
return render_template('index.html', div_bok=div_bok, script_bok=script_bok)
@app.route('/_get_table', methods=['GET','POST'])
def get_table():
# extract nrow, ncol via ajax post - contained in request.form
nrow = request.form.get('nrow', type=int)
ncol = request.form.get('ncol', type=int)
# the updated/new plot
p = figure(plot_width=150, plot_height=100)
p.line(list(range(nrow)), list(range(nrow)))
script_bok, div_bok = components(p)
#return rendered html to the browser
return render_template('update_content.html', div_bok=div_bok, script_bok=script_bok)
if __name__ == '__main__':
app.run(debug=True, threaded=True)
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Index.html:
<!DOCTYPE html>
<html lang="en">
<head>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css">
<link href="https://cdn.datatables.net/1.10.16/css/jquery.dataTables.min.css" rel="stylesheet">
<link href="http://cdn.bokeh.org/bokeh/release/bokeh-0.12.15.min.css" rel="stylesheet" type="text/css">
<link href="http://cdn.bokeh.org/bokeh/release/bokeh-widgets-0.12.15.min.css" rel="stylesheet" type="text/css">
</head>
<body>
<div class="container">
<div class="header">
<h3 class="text-muted">some stuff</h3>
</div>
<hr class="mb-4">
<div class="row">
<div class="col-md-8">
<form id="input_data_form" class="needs-validation" novalidate>
<div class="row">
<div class="col-md-6 mb-3">
<label for="nrow">rows</label>
<input type="number" class="form-control" id="nrow" min="0" step="1" placeholder="" value="2" required>
<div class="invalid-feedback">
please provide an integer
</div>
</div>
<div class="col-md-6 mb-3">
<label for="ncol">columns</label>
<input type="number" class="form-control" id="ncol" min="0" step="1" placeholder="" value="2" required>
<div class="invalid-feedback">
please provide an integer
</div>
</div>
</div>
<div class="form-row text-center">
<div class="col-12">
<button id="calculate" type="submit" class="btn btn-primary">Calculate!</button>
</div>
</div>
</form>
</div>
<div class="col-md-4">
<div class="header">
<h5 class="text-muted">Plot results</h5>
</div>
<div id="plot-content">
{{div_bok|safe}}
{{script_bok|safe}}
</div>
</div>
</div>
</div>
<script src="https://code.jquery.com/jquery-3.2.1.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.12.9/umd/popper.min.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/js/bootstrap.min.js"></script>
<script src="https://cdn.datatables.net/1.10.16/js/jquery.dataTables.min.js" type="text/javascript"></script>
<script src="http://cdn.bokeh.org/bokeh/release/bokeh-0.12.15.min.js"></script>
<script src="http://cdn.bokeh.org/bokeh/release/bokeh-widgets-0.12.15.min.js"></script>
<script type="text/javascript">
$(document).ready(function(){
$('#calculate').on('click', function(e){
// prevent page being reset, we are going to update only
// one part of the page.
e.preventDefault()
$.ajax({
url:'./_get_table',
type:'post',
data:{'nrow':$("#nrow").val(),
'ncol':$("#ncol").val()},
success : function(data){
// server returns rendered "update_content.html"
// which is just pure html, use this to replace the existing
// html within the "plot content" div
$('#plot-content').html(data)
}
})
});
});
</script>
</body>
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update_content.html
{{div_bok|safe}}
{{script_bok|safe}}
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