/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

1 vote315 views1 answer
Install python cap
Python
5 votes331 views4 answers
Fahrenheit to celsius python program
Python
0 vote308 views1 answer
Non blocking socket python
Python
0 vote321 views1 answer
Saving a copy of rcParams settings.
Python
0 vote319 views1 answer
Python syntax error jedi
Python
21 votes340 views2 answers
How to plot an array in python
Python
0 vote331 views1 answer
Streamlit - Warning: NumberInput value below has type int so is displayed as int despite format string %.1f.
Python
0 vote393 views1 answer
Import sys execute cmd
Python
1 vote349 views1 answer
How to access for loop counter of outer loop
Python
18 votes355 views5 answers
Get list with random numbers python
Python