test.py

zhanghj

Uploaded on: Oct. 20, 2021, 2 a.m.
.python

Back to Multi-dataset Time Series Anomaly Detection

#importing the required libraries
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matrixprofile as mp
from matrixprofile import *

mylist = []

for file in os.listdir('/Users/code/timeseries/ucr_competition_data/'):
    mylist.append(int(file[16:-4])+200)


df2 = pd.DataFrame(mylist, columns=['location'])
df2.index.name = 'No.'
df2.index += 1 
df2.to_csv('submit.csv')