import pandas as pd
import matplotlib.dates as mdate
from datetime import datetime

# Read dataset and fill missing rows with zeroes
dataset = pd.read_csv('csv/global_last10years.csv', index_col=0).fillna(0)

# List of unique source IPs per hour (daily avg)
ts_uIPs = dataset.iloc[:,2]

date = datetime.fromtimestamp(ts_uIPs.idxmax())
print('Peak in unique sources: ', date)