Python Forum

hi,

i saw the this library scipy.stats.norm.
I am very new in Python , so my question is
how i can read my csv file and implement it in the code for a
approximation.

best regards

Start with the documentation: https://docs.scipy.org/doc/scipy/referen....norm.html

Try to create the code to implement what it is you are trying to do. If you run into a problem, post the code, any errors (in their entirety), and output. Post all between their respective tags.

ok thank you :)

Here is what i did

data = np.loadtxt('xy.csv',skiprows=1, delimiter=';')

x =data[:,1]
w = data[:,2]

#int.x
a = (x/2 + 0.5)* 0.1 
b= 0.1+(x/2+.5)*0.9
g = 1+(x/2+.5)*9
c= 10+(x/2+.5)*90
d= 100+(x/2+.5)*900

X=[]
X.append(a)
X.append(b)
X.append(g)
X.append(c)
X.append(d)
#X=np.concatenate((a,b,g,c,d))

#int.w
q= w* 0.1/2
e= w*0.9/2
r= w*9/2
m= w*90/2
n= w*900/2

W=np.concatenate((q,e,r,m,n))

plt.plot(W)
ax.plot(a, norm.pdf(a), 'r-', lw=5, alpha=0.6, label='norm pdf')

This W is my weight. And now i tried to write a code for pdf ..like this

def mepdf(MF,l):
    def pdf(X):
        for i in range(0,l.size):
            Y[:,i]= MF[i](X)   
Here i have the problem that this code is from R and there is : MF[[i]](x)...i don't know how i can do it in Python
I am really sure that my way is wrong 
            np.exp(l * Y.T)
            break
        return X
    return mepdf(MF,l)

And i want that my weights from the csv file are approximate to the norm-pdf
But my error if i try it like here mepdf(..) :

Quote:RecursionError: maximum recursion depth exceeded

(Feb-08-2018, 06:33 PM)Joey21 Wrote: [ -> ]And now i tried to write a code for pdf ..like this

def mepdf(MF,l):
    # snipped
    return mepdf(MF,l)

But my error if i try it like here mepdf(..) :

Quote:RecursionError: maximum recursion depth exceeded

You create a function, which then calls itself, which then calls itself, which then calls itself, forever. I don't know why you defined a nested function that you never used, but the recursion problem is because what you've got on the return line is almost definitely wrong.

Ok
It makes no sense. But how is it possible to do a code like that without to defined a nested function.
Do you have an approach?

Quote:

def mepdf(MF,l):
    def pdf(X):
        for i in range(0,l.size):
            Y[:,i]= MF[i](X)   
Here i have the problem that this code is from R and there is : MF[[i]](x)...i don't know how i can do it in Python
I am really sure that my way is wrong 
            np.exp(l * Y.T)
            break
        return X
    return mepdf(MF,l)

Like this?

def mepdf(MF,l):
    for i in range(0,l.size):
        Y[:,i]= MF[i](X)   
        np.exp(l * Y.T)
        break
    return X