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getExplanation.py
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getExplanation.py
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import pandas as pd
import numpy as np
RegionData = pd.read_csv("./db/pregion2.csv")
RegionData = RegionData.set_index(["Region","year"])
DistrictData = pd.read_csv("./db/pvillage3.csv")
DistrictData = DistrictData.set_index(["District","year"])
def getRegionExplanation(region, year, aggOriginal, complained_agg, com_too_small):
explanations = []
aggs = ["count","std","mean"]
for index, row in RegionData.loc[(region,year)].iterrows():
aggOld = {}
aggNew = {}
for agg in aggs:
aggOld[agg] = row[agg]
aggNew[agg] = row["p" + agg]
# introuce a mean 0 with count doesn't help
if(not com_too_small and complained_agg == 'mean' and aggOld['count'] == 0 and (aggNew['count'] < 1 or aggNew['mean'] < 1 )):
continue
aggAfterRepair = add(remove(aggOriginal,aggOld),aggNew)
if((com_too_small and aggAfterRepair[complained_agg] > aggOriginal[complained_agg] + 0.01) or
(not com_too_small and aggAfterRepair[complained_agg] < aggOriginal[complained_agg] - 0.01)) :
explanation = {}
explanation["District"] = row["District"]
explanation["year"] = year
explanation["aggNew"] = aggNew
explanation["after"] = aggAfterRepair[complained_agg]
explanations.append(explanation)
if com_too_small:
explanations.sort(key=lambda x: -x["after"])
else:
explanations.sort(key=lambda x: x["after"])
return explanations[:5]
def getDistrictExplanation(district, year, aggOriginal, complained_agg, com_too_small):
explanations = []
aggs = ["count","std","mean"]
for index, row in DistrictData.loc[(district,year)].iterrows():
aggOld = {}
aggNew = {}
for agg in aggs:
aggOld[agg] = row[agg]
aggNew[agg] = row[agg]
aggNew['mean'] = row["pmean"]
aggAfterRepair = add(remove(aggOriginal,aggOld),aggNew)
if((com_too_small and aggAfterRepair[complained_agg] > aggOriginal[complained_agg] + 0.01) or
(not com_too_small and aggAfterRepair[complained_agg] < aggOriginal[complained_agg] - 0.01)) :
explanation = {}
explanation["Village"] = row["Village"]
explanation["year"] = year
explanation["aggNew"] = aggNew
explanation["after"] = aggAfterRepair[complained_agg]
explanations.append(explanation)
if com_too_small:
explanations.sort(key=lambda x: -x["after"])
else:
explanations.sort(key=lambda x: x["after"])
return explanations[:5]
def add(agg1, agg2):
agg3 = {}
agg3["count"] = agg1["count"] + agg2["count"]
if(agg3["count"] == 0):
agg3["mean"] = 0
agg3["std"] = 0
return agg3
agg3["mean"] = (agg1["count"] * agg1["mean"] + agg2["count"] * agg2["mean"])/agg3["count"]
if(agg3["count"] == 1):
agg3["std"] = 0
return agg3
var = ((agg1["count"] - 1) * (agg1["std"]**2) + (agg2["count"] - 1) * (agg2["std"]**2)
+ agg1["count"] * ((agg1["mean"] - agg3["mean"]) **2)
+ agg2["count"] * ((agg2["mean"] - agg3["mean"]) **2) )/(agg3["count"] - 1)
if(var < 0):
var = 0
agg3["std"] = var**(0.5)
return agg3
def remove(agg1, agg2):
agg3 = {}
agg3["count"] = agg1["count"] - agg2["count"]
if(agg3["count"] == 0):
agg3["mean"] = 0
agg3["std"] = 0
return agg3
agg3["mean"] = (agg1["count"] * agg1["mean"] - agg2["count"] * agg2["mean"])/agg3["count"]
if(agg3["count"] == 1):
agg3["std"] = 0
return agg3
var = ((agg1["count"] - 1) * (agg1["std"]**2) - (agg2["count"] - 1) * (agg2["std"]**2)
+ agg1["count"] * ((agg1["mean"] - agg3["mean"]) **2)
- agg2["count"] * ((agg2["mean"] - agg3["mean"]) **2) )/(agg3["count"] - 1)
if(var < 0):
var = 0
agg3["std"] = var**(0.5)
return agg3