Python script for linear regression on panda dataframe

Question

I have the following panda dataframe:

    value
0  4354
1  7556
2  609
3  7842

I need to perform linear regression on it. Can I have a python script for this purpose? Thank you

Answer 1

Use the following code:

from scipy import stats
slope, intercept, r_value, p_value, std_err = stats.linregress(df.index, df['value'])
df['linreg'] = intercept + slope * df.index