/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

2 votes179 views3 answers
Pandas count occurrences of certain value in row
Python
0 vote200 views1 answer
"PyGTK" python setup.py egg_info Check the logs for full command output.
Python
5 votes211 views1 answer
Snake nokia game project python
Python
2 votes170 views2 answers
Make a list in python 3
Python
1 vote188 views2 answers
Pandas docs
Python
0 vote225 views1 answer
Pytest check exception
Python
0 vote262 views1 answer
How to find position of a character in a string from right sidepython
Python
1 vote175 views1 answer
Print specific part in bold or colours and end.
Python
2 votes254 views3 answers
Fill zeros left python
Python
0 vote173 views1 answer
Selenium save webpage as pdf python
Python