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analyse.py
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analyse.py
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import pandas as pd
from datetime import datetime
# Read the psv file into pandas dataframe
dataframe = pd.read_csv('test.psv', sep='|', header=1)
# Extract data from frame and load separate columns
data = dataframe.values
dates = data[:,0]
y = data[:,1]
yhat = data[:,2]
# Convert dates to datetime object and return integer day of week
daysofweek = []
for date in dates:
day = datetime.strptime(date, '%Y-%m-%d').weekday()
daysofweek.append(day)
# Calculate true and false positive and negatives
tp = 0
fp = 0
tn = 0
fn = 0
for i in range(0,len(daysofweek)):
if daysofweek[i] == 3:
# import pdb; pdb.set_trace()
if y[i] == 1:
if yhat[i] == 1:
tp += 1
else:
fn += 1
if y[i] == 0:
if yhat[i] == 1:
fp += 1
else:
tn += 1
# Calculate precision, recall and F1
precision = tp / (tp+fp)
recall = tp / (tp+fn)
F1 = 2*(precision*recall)/(precision+recall)
print(F1)