/Python/Best fit line python log log scale

Best fit line python log log scale

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 vote334 views1 answer
Creating a new DataFrame from itertuples, namedtuple using a series or list()
Python
142 votes387 views6 answers
While loop python
Python
2 votes324 views1 answer
Install telethon
Python
13 votes381 views4 answers
Python calculate age from date of birth
Python
0 vote309 views1 answer
Transformers bert
Python
5 votes354 views4 answers
Execute command and get output python
Python
17 votes345 views3 answers
Python all possible combinations of multiple lists
Python
7 votes354 views5 answers
Convert categorical variable to numeric python
Python
1 vote333 views1 answer
Get_terminal_sizee python
Python
1 vote347 views1 answer
Make a list from 0 to n python
Python