python - matplotlib discrete data versus continuous function -

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i need plot ratio between function introduced thorough discrete data set, imported text file, example:

x,y,z=np.loadtxt('example.txt',usecols=(0,1,2),unpack=true),

and continuous function defined using np.arange command, example:

w=np.arange(0,0.5,0.01)

exfunct=w**4.

clearly, solutions as

plt.plot(w,1-(x/w),'k--',color='blue',lw=2) well

plt.plot(y,1-(x/w),'k--',color='blue',lw=2)

do not work. despite having looked answer in site (and outside it), can not find solution problem. should fit discrete data set, obtain continuous function, , define in same interval "exfunct"? suggestion? thank lot.

at end solution has been easier thought. had define continuous variable through discrete data, as, example:

w=x/y,

then define function said:

exfunct=w**4

and plot "continuous-discrete" function:

plt.plot(x,x/exfunct),'k-',color='red',lw=2)

i hope can useful.


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