I am phD students in Hiroshima University, Japan. I try to use web2py to
establish an app for my research about environment management of the Seto
Inland Sea,Japan. In the app, users upload their csv data, and will get the
results
here is my controller file and view file
#controller data.py
def data():
import numpy as np
import pandas as pd
dat = pd.read_csv('C:\Users\XX\Desktop\TEST.csv')
sal = dat['salinity']
N2 = dat['N2']
chl = dat['chla']
return dict(sal=sal, N2=N2, chl=chl)
#data/data html
{{extend 'layout.html'}}
#show the raw data
<h1>这是 This is raw data</h1>
<h5>sal={{=sal}}</h5>
<h5>N2={{=N2}}</h5>
<h5>chl={{=chl}}</h5>
{{import numpy as np}}
{{from scipy.optimize import leastsq}}
#calculation
#data standardization
{{s_sal=((chl-np.mean(sal))/np.std(sal))}}
{{s_N2=((chl-np.mean(N2))/np.std(N2))}}
#model fitting by leastsq
{{def func1(t,x,y):}}
{{return 1/(t[0]+t[1]*np.exp(t[2]*x))-y}}
{{t0=np.array([1.0,1.0,1.0])}}
{{for i in np.arange(0,2.0,0.05):}}
{{index = i*s_sal + (2-i)*s_N2}}
{{cf = leastsq(func1,t0,args=(index,chl))}}
#show the results
<li>
"Model: "{{=i}}"*salinity+"{{=2-i}}"*N2" "Equation:
1/("{{=round(cf[0][0],2)}}"+"{{=round(cf[0][1],2)}}"*EXP("{{=round(cf[0][2],2)}}"*x))"
</li>
{{pass}}
I am fresh in coding work and web development, so some easy problems in
this field is difficult for me.
In this case what should I add in Model part (database) and how to get the
csv content from the corresponding database.
Thanks all.
--
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- http://web2py.com
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- http://github.com/web2py/web2py (Source code)
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