59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
import Data_Analysis as DA
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import pandas as pd
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accuracy = pd.read_csv(f'results/accMeanDf.csv')
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propData = DA.getPropertyDataFromDB()
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propData = pd.DataFrame(propData, columns =['property_id', 'region', 'geoLocation'])
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propData = propData.drop(columns=['geoLocation'])
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#print(propData)
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merge = pd.merge(propData, accuracy, on="property_id")
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#print(merge)
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#1 = Heidiland, 2 = Davos, 3 = Engadin 4 = St.Moritz
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heidiAcc = merge[merge['region'] == 1]
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davosAcc = merge[merge['region'] == 2]
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EngadAcc = merge[merge['region'] == 3]
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StMorAcc = merge[merge['region'] == 4]
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heidiMean = heidiAcc.mean(axis=0)
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davosMean = davosAcc.mean(axis=0)
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EngadMean = EngadAcc.mean(axis=0)
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StMorMean = StMorAcc.mean(axis=0)
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heidiSDev = heidiAcc.std(axis=0)
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davosSDev = davosAcc.std(axis=0)
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EngadSDev = EngadAcc.std(axis=0)
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StMorSDev = StMorAcc.std(axis=0)
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accuracyOverview = pd.DataFrame()
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accuracyOverview.insert(0, "St. Moritz StdDev", StMorSDev, True)
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accuracyOverview.insert(0, "St. Moritz Mean", StMorMean, True)
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accuracyOverview.insert(0, "Engadin StdDev", EngadSDev, True)
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accuracyOverview.insert(0, "Engadin Mean", EngadMean, True)
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accuracyOverview.insert(0, "Davos StdDev", davosSDev, True)
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accuracyOverview.insert(0, "Davos Mean", davosMean, True)
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accuracyOverview.insert(0, "Heidi StdDev", heidiSDev, True)
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accuracyOverview.insert(0, "Heidi Mean", heidiMean, True)
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accuracyOverview.drop(index=accuracyOverview.index[0], axis=0, inplace=True)
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accuracyOverview.drop(index=accuracyOverview.index[0], axis=0, inplace=True)
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accuracyOverview.to_csv('results/accuracyOverview.csv', index=True)
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#delete unused DF's
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del merge, accuracy, propData
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del heidiAcc, davosAcc, EngadAcc, StMorAcc
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del heidiMean, davosMean, EngadMean, StMorMean
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del heidiSDev, davosSDev, EngadSDev, StMorSDev
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print(accuracyOverview)
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