/Python/Logarithmic scale fitting python

Logarithmic scale fitting python

fig=plt.figure()
ax = fig.add_subplot(111)

z=np.arange(1, len(x)+1) #start at 1, to avoid error from log(0)

logA = np.log(z) #no need for list comprehension since all z values >= 1
logB = np.log(y)

m, c = np.polyfit(logA, logB, 1, w=np.sqrt(y)) # fit log(y) = m*log(x) + c
y_fit = np.exp(m*logA + c) # calculate the fitted values of y 

plt.plot(z, y, color = 'r')
plt.plot(z, y_fit, ':')

ax.set_yscale('symlog')
ax.set_xscale('symlog')
#slope, intercept = np.polyfit(logA, logB, 1)
plt.xlabel("Pre_referer")
plt.ylabel("Popularity")
ax.set_title('Pre Referral URL Popularity distribution')
plt.show()

Source: stackoverflow.com

Similar codes

0 vote309 views1 answer
Matruzen rechner python
Python
4 votes297 views3 answers
OSError: [Errno 98] Address already in use
Python
1 vote309 views1 answer
Show jpg in jupyter notebook
Python
0 vote332 views1 answer
How to print the fibonacci sequence in python using while loop
Python
0 vote297 views1 answer
Python boolean ungleich
Python
0 vote359 views1 answer
Django cms api
Python Django
0 vote311 views2 answers
Run matlab code in python
Python
0 vote284 views5 answers
Print string python
Python
2 votes275 views2 answers
Label encoding
Python
-1 vote279 views1 answer
Store message sent by user in string discord py
Python