Method 1: Using Numpy Library
import numpy as npadvt=[5,10,15,20,25]
sales=[40,60,80,100,120]
a=np.corrcoef(advt,sales)
print(a)
Ans:
[[1. 1.]
[1. 1.]]
Method 2: Using Scipy library
Problem2: Find the correlation between share volume of Ajit
industries and market volume of a sensex. The data is given below:
share volume : 25,35,28,22,34,32
Market volume: 35,55,42,36,45,41
Solution:
Coding:
import numpy as np
from scipy.stats import pearsonr
sharevolume=[25,35,28,22,34,32]
marketvolume=[35,55,42,36,45,41]
pearsonr(sharevolume,marketvolume)
Output
(0.8440172720849535, 0.034598339542112846)
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