Back to Multi-dataset Time Series Anomaly Detection
import pandas as pd df = pd.DataFrame({'No.':range(1, 26), 'location':[1]*25}) df.loc[0, 'location'] = 52000 df.loc[3, 'location'] = 5550 df.to_csv('tmp.csv', index=None)
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