线性回归的斜率

Question

I have a plot-

When I am trying to do linear regression on it-

df=pd.read_csv('tau.csv')


xx= df['xx'].tolist()
yy=df['yy'].tolist()
from scipy.stats import linregress
#print(linregress(xx,yy))

slope, intercept, r_value, p_value, std_err=linregress(xx,yy)
print(slope)

plt.plot(xx,yy,'ro')
plt.xlabel('log(l)')
plt.ylabel('log(Rl)')
plt.title('Fractal dimension with '+str(slope))
plt.show()

I get the slope as nan.

my data-

Answer 1

Looks like you have nan in your data:

x = [1,2, np.nan]
y = [2,4,6]

linregress(x,y)

>>> LinregressResult(slope=nan, intercept=nan, rvalue=nan, pvalue=nan, stderr=nan)

Also, you don't need to convert series to list, you can certainly do:

lingress(df['xx'], df['yy'])