Answer:
The function is as follows:
def compute_net_correlation(data_series_1,data_series_2):
series1 = 0; series2 = 0
for i in range(len(data_series_1)):
series1+=data_series_1[i]
series2+=data_series_2[i]
avg_series1 =series1/len(data_series_1)
avg_series2 =series2/len(data_series_1)
for i in range(len(data_series_1)):
data_series_1[i]-=avg_series1
data_series_2[i]-=avg_series2
data_series_1[i]*=data_series_2[i]
net_correlation = 0
for i in range(len(data_series_1)):
net_correlation +=data_series_1[i]
return net_correlation
Step-by-step explanation:
This defines the function
def compute_net_correlation(data_series_1,data_series_2):
This initializes the sum of each series to 0
series1 = 0; series2 = 0
This iterates through each data series
for i in range(len(data_series_1)):
This adds series 1
series1+=data_series_1[i]
This adds series s
series2+=data_series_2[i]
This calculates the average of data series 1
avg_series1 =series1/len(data_series_1)
This calculates the average of data series 2
avg_series2 =series2/len(data_series_1)
This iterates through each data series
for i in range(len(data_series_1)):
This subtracts the average from series 1
data_series_1[i]-=avg_series1
This subtracts the average from series 2
data_series_2[i]-=avg_series2
This multiplies the corresponding elements of both series
data_series_1[i]*=data_series_2[i]
This initializes the net correlation to 0
net_correlation = 0
This iterates through each data series
for i in range(len(data_series_1)):
This adds up the corresponding elements of both series
net_correlation +=data_series_1[i]
This returns the net correlation
return net_correlation