在散景中绘制多列数据帧
我已经构建了一个简单的烧瓶应用程序。前端（视图）提供了两个复选框 A 和 B，它们是数据框列。
当我选择任一列时，将绘制列值。
这是代码。
from flask import Flask, render_template, redirect, request
from bokeh.plotting import figure, show, output_file,save
import webbrowser
from threading import Timer
import pandas as pd
import numpy as np
import os
app = Flask(__name__)
@app.route('/')
def index():
return render_template('sop1.html')
@app.route('/FlaskTutorial', methods=['POST'])
def user_rec():
dates = pd.date_range('20130101', periods=100)
df1 = pd.DataFrame(np.random.randn(100, 2), index=dates,
columns=list('AB'))
result = request.form
signal = request.form.getlist('check')
print(signal)
df=pd.DataFrame(df1[signal])
path=os.getcwd()
plot=figure(title="Time series data for "+str(df.columns[0])+"
pair",width=1000,height=600,x_axis_type='datetime',tools='hover')
plot.line( source=df,x='index',y=str(df.columns[0]), line_color="blue",legend="spot rate")
output_file(str(path)+'/templates/myplot11.html')
save([plot])
return render_template('myplot11.html', result=result)
def open_browser():
webbrowser.open_new('http://127.0.0.1:3190/')
if __name__ == '__main__':
Timer(1, open_browser).start();
app.run(port=3190,debug=True)
我想要的是，当我选择两列时要绘制的两列（水平或垂直）。
这是 sop1.html
<!DOCTYPE html>
<html>
<head>
<body>
<form method="post" action="/FlaskTutorial">
<div class="custom1">
<p>Dataframe columns</p>
<input type = "checkbox" name = "check" value = "A"> A <br> </br>
<input type = "checkbox" name = "check" value = "B"> B<br> </br>
</div>
<input type="submit" value="Submit" name="ok"/>
</form>
</body>
</html>
请建议前进的方向。我的散景版本是 1.0.4
SMILET1回答
-
白板的微信
侥幸，我找到了解决方案。result = request.form signal = request.form.getlist('check')dd=[]for i in range(len(signal)): print(i) dd.append(bokeh_plot(df1,i))save([dd[0],dd[1]]) 这是 bokeh_plot 函数def bokeh_plot(df,i): path=os.getcwd() plot=figure(title="Time series data for "+str(df.columns[i])+" pair",width=1000,height=600,x_axis_type='datetime',tools='hover') plot.line( source=df,x='index',y=str(df.columns[i]), line_color="blue",legend="spot rate") output_file(str(path)+'/templates/myplot11.html') #save([plot]) return plot
随时随地看视频慕课网APP
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