I'm trying to plot two data features on log-log plot on seaborn. How do fit a line for this correlation?

Asked Apr 11 '20 at 23:57

Active Apr 12 '20 at 02:42

Viewed 20 times

%matplotlib inline
import sys
import numpy as np
import scipy as sc
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

data = {'State':['Alabama', 'California', 'Delaware', 'Texas','Oregon','Arizona'],
        'Cases':[20, 210, 19, 1800, 25, 8020],
        'Deaths':[1,50,3,200,5,300]}

df_state = pd.DataFrame(data)
print(df_state.head(10))

plt.figure(figsize=(7, 7))
splot=sns.regplot(x=df_state["Cases"],y=df_state["Deaths"])
splot.set(xscale="log",yscale="log")
splot.set(xlim=(1, 10000))
splot.set(ylim=(1, 10000))

For above code, I'm not able to get a line fit. Please help me understand the reason.

Plot

edited Apr 12 '20 at 02:42

asked Apr 11 '20 at 23:57

alpinesummit

Do you see a line when the scales are not set to `log`? – jcaliz Apr 12 '20 at 00:42
Do you mind to share a [mcve](/help/mcve)? – rpanai Apr 12 '20 at 01:48
@jcaliz: Yes, when in linear axis, I see a line fit – alpinesummit Apr 12 '20 at 02:23
@rpanai: Here you go: https://easyupload.io/ukvzh4 – alpinesummit Apr 12 '20 at 02:37
Please update your question with the code. – rpanai Apr 12 '20 at 02:40
@rpanai: Done, updated question to contain an 'mcve' – alpinesummit Apr 12 '20 at 02:43
1

@rpanai: Yes, this answers my question. Thank you. I have accepted my question as duplicate – alpinesummit Apr 12 '20 at 02:51

I'm trying to plot two data features on log-log plot on seaborn. How do fit a line for this correlation?

0 Answers0