/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

5 votes213 views1 answer
Get index in foreach py
Python
1 vote210 views2 answers
Load data python
Python
22 votes193 views2 answers
Python get date tomorrow
Python
17 votes216 views2 answers
Make tkinter button disable
Python
0 vote188 views1 answer
How to change size of turtle in python
Python
0 vote186 views1 answer
Intersection of two lists using set method
Python
0 vote182 views1 answer
Iterate over meta tag python
Python
0 vote251 views1 answer
Pytorch multiply tensors element by elementwise
Python
0 vote195 views2 answers
Spyder 32 bit download
Python
3 votes217 views2 answers
Print first word of a string python and return it
Python