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, requestfrom bokeh.plotting import figure, show, output_file,saveimport webbrowserfrom threading import Timerimport pandas as pdimport numpy as npimport osapp = 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
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TA贡献1883条经验 获得超3个赞
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
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