In [3]:
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline

In [4]:
anomaly_to = pd.read_csv('./Result/torronto_chi_results.csv')
anomaly_ph = pd.read_csv('./Result/Phoenix_chi_results.csv')
anomaly_las = pd.read_csv('./Result/LasVegas_chi_results.csv')

In [5]:
anomaly_to


Out[5]:
clusters_sp clusters_km clusters_gm scores_isf distance_km distance_knn
KeQ1cK564cL5C_hBTFrqnA 0 0 2 -0.026406 NaN 12.213128
f5xm2RiwLv0gbmXU4BkrGA 0 1 4 0.036797 NaN 10.000000
q0oPX1DXW86QytTvvrD9MA 0 0 2 0.012530 NaN 10.708204
0C6uuZBD7xKS-uucgwoyQw 0 1 1 0.026864 NaN 11.157694
mevOvXMnlTLbSl4w8fcG2A 0 0 3 0.053299 NaN 8.928203
nTQhgQZa7HhIpyM0ICC1mw 0 0 3 0.023877 NaN 10.204187
TBzgzTFSa7pJXiLD7emYaQ 0 0 3 0.015436 NaN 9.700170
0XlbdDkYzC14SZF_bUGeXA 0 1 0 0.084316 NaN 7.292529
o5t33JVLpZWf269AEPB95Q 0 0 3 0.044613 NaN 8.878315
Ih7a0qOMLFnYAec8qyq2Gg 0 1 0 0.036159 NaN 7.878315
WpK-mZ7w-304c78MOEYH6A 0 0 3 0.036177 NaN 10.472136
E_mRnwhHLuz6tgMBScw1mw 0 0 3 0.013504 NaN 10.204187
2BuiyGL0JbNjnc88fYH39Q 0 0 3 0.021527 NaN 11.371115
yPR8Bh55-9NXmooZS7lrLA 0 1 0 0.072260 NaN 8.196152
Q62lGVKqoKJ09lZNt2qpfw 0 0 3 0.083150 NaN 5.828427
IithJLAUG3gWcHw9EKLLFA 0 0 3 0.075042 NaN 7.610366
OXW2erFOPT-Oov6wChxWYA 0 1 0 0.100447 NaN 6.242641
PlJ5Tf9T4QlFQoNZf99aTg 0 1 0 0.066626 NaN 9.196152
MDInVOKvIetk_OIpKd2Ofw 0 1 0 0.094849 NaN 7.706742
mBHYTLynxk-Ryq56QIx6cw 0 0 3 0.056996 NaN 9.196152
QaxDKkqYTtVYZJcqBNTnvQ 0 0 3 0.016923 NaN 10.204187
RlNmDWJ0kkEWXW7yORJZVw 0 0 3 0.037320 NaN 8.024580
sePTDv1dGHPID7kwuNzXaA 0 0 3 0.032427 NaN 8.292529
A6bnXx1see4yZSaVVCVDyw 0 0 1 -0.008277 NaN 10.708204
sqHRwTOpFMsdoN_3xsTFNQ 0 0 3 0.028482 NaN 8.878315
aarBX0VyJbjMACGCcMrfEQ 0 0 1 0.042871 NaN 9.000000
cE7ArG7tPXsLSBbgHGHYZA 0 1 1 0.030598 NaN 9.732051
RcEaxi1h3qMIzQTDQyqNFg 0 1 0 0.114343 NaN 5.828427
vuVyosC2e3CQ5GRdr9sh6A 0 1 0 0.066212 NaN 8.196152
8xPmlVJy2o6x0J04CBpEMQ 0 1 1 -0.045357 NaN 13.228757
... ... ... ... ... ... ...
snw9iNNLpFYZeHotW00uVA 0 0 4 0.006218 NaN 9.146264
8Lpoyo7RHWZrHlQW2JM2wQ 0 0 3 0.010574 NaN 9.968119
1kqLZp0_FEMHGx-W4TjTLQ 0 1 0 0.078712 NaN 9.414214
gopA-Q9KWwC8BLIRDhusgg 0 0 3 0.072526 NaN 7.706742
ZDDzKXN_JXe7694zePRuTQ 0 1 1 -0.020572 2.782185 11.905373
u3q_fVU-qxgoGWLPVy4nMw 0 1 0 0.119796 NaN 5.414214
UBKAE_miJ-lVmUqOTlI13g 0 1 0 0.080294 NaN 10.000000
S0Z8fKAUYTd2MKUuez-evA 0 1 0 0.067764 NaN 8.660254
2SyYW8GiDZsqtPb-aCbosg 0 0 1 0.067803 NaN 8.024580
jhKKwn9FSwFbZsbbYi5WfQ 0 1 1 0.022421 NaN 10.358485
F4cIFBf8u81hKlGn0KgGCg 0 1 0 0.091026 NaN 8.342417
FpFRtA1tagxqh_rLFs4XFQ 0 1 3 0.065704 NaN 9.146264
33IS-0QBNwRC8cXnHABpbg 1 0 4 0.016885 NaN 7.388905
jNiZgCwZj4CNw1noxiC8PQ 0 0 3 0.048064 NaN 8.342417
K2CdjES-IZDDEgetOnf0Vw 0 0 1 0.001539 NaN 10.944272
I8cCdp3q_5oCEykzZgPkQw 0 1 1 0.013848 NaN 12.836233
bzMO8LJmJtgo3KuyWGKUxA 0 0 3 0.026152 NaN 9.464102
mNRAFxAqL31c2Y96LEKggA 0 1 0 0.074946 NaN 6.242641
gtcsOodbmk4E0TulYHnlHA 1 1 4 -0.088266 3.131738 12.791902
0v8icS8wOOgEDiHDCOQkZQ 0 0 3 0.084803 NaN 5.732051
nqnVKM55nIZn8fNH1fIJPA 0 0 3 0.027614 NaN 9.464102
ZuZxDPtDsh-nmbLebRC8iA 0 1 1 0.081898 NaN 6.610366
FfmH-oEWN7K1za-o8KZQDA 0 1 0 0.081867 NaN 8.342417
zBd5JvFWuMGlnCYLaGsXZg 0 0 1 0.052541 NaN 9.382332
XIX4xuzrt3IzvjX9MtHr9g 0 1 1 0.003677 NaN 10.867098
u6JJojkbqVlVI4NqKsL54Q 1 1 4 -0.017084 NaN 11.157694
_5XClj4E5VCIsEscbrrPKg 1 1 0 -0.029980 NaN 12.034027
-yzBFD877La-RP739VxF7w 0 0 1 0.013570 NaN 11.820605
9iJMGMsTK-q6W5MB1_Ny3Q 0 1 0 0.062870 NaN 9.464102
Q3UkgxNNInsPcUFhsQFcrg 0 0 1 0.013495 NaN 9.936238

235 rows × 6 columns


In [ ]: