Anomaly Detection(Variouscases)

Mon 30 June 2025

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [10])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [20])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [30])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [40])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [50])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [60])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [70])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [80])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [90])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [100])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [110])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [120])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [130])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [140])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [150])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [160])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [170])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [180])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [190])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [200])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [210])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [220])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [230])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [240])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [250])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [260])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [270])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [280])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [290])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [300])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [310])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [320])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [330])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [340])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [350])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [360])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [370])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [380])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [390])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [400])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [410])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [420])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [430])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [440])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [450])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [460])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [470])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [480])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [490])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [500])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [510])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [520])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [530])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [540])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [550])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [560])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [570])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [580])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [590])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [600])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [610])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [620])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [630])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [640])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [650])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [660])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [670])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [680])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [690])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [700])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [710])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [720])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [730])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [740])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [750])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [760])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [770])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [780])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [790])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [800])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [810])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [820])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [830])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [840])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [850])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [860])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [870])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [880])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [890])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [900])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [910])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [920])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [930])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [940])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [950])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [960])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [970])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [980])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [990])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1000])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1010])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1020])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1030])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1040])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1050])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1060])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1070])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1080])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1090])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1100])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1110])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1120])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1130])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1140])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1150])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1160])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1170])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1180])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1190])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1200])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1210])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1220])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1230])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1240])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1250])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1260])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1270])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1280])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1290])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1300])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1310])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1320])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1330])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1340])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1350])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1360])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1370])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1380])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1390])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1400])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1410])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1420])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1430])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1440])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1450])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1460])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1470])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1480])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1490])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1500])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1510])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1520])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1530])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1540])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1550])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1560])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1570])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1580])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1590])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1600])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1610])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1620])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1630])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1640])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1650])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1660])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1670])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1680])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1690])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1700])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1710])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1720])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1730])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1740])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1750])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1760])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1770])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1780])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1790])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1800])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1810])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1820])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1830])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1840])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1850])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1860])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1870])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1880])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1890])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1900])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1910])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1920])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1930])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1940])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1950])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1960])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1970])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1980])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [1990])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

import pandas as pd
import numpy as np
df = pd.DataFrame({'value': np.append(np.random.normal(0, 1, 20), [2000])})
threshold = 3
anomalies = df[np.abs(df['value']) > threshold]
anomalies

Score: 200

Category: pandas-work