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CSV中的熊貓數據分析

[英]Pandas analysis of data in csv

我正在嘗試使用熊貓編寫統計模型。 首先,我想先做一個簡單的均值和中位數價格檢查。 我已經在下面的csv中顯示了數據。

我嘗試過的

import pandas

df = pandas.read_csv('audi-a4.csv', index_col=False, header=0);
serie = df.transpose() # here we convert the DataFrame into a Se
x = serie.describe()
print(serie)
print(x)

CSV格式的數據:

NoteDate    Fuel    StartDate   BestContactTime PriceDisplay    IsBold  Make    Transmission    Category    Owners  HasFreeShipping Year    EngineSize  AsAt    IsDealer    Doors   ExteriorColour  Odometer    StartPrice  NumberPlate ImportHistory   EndDate Cylinders   Title   Vin CategoryPath    WofExpires  BodyStyle   ListingLength   Suburb  StereoDescription   ListingId   Region  Model   RegistrationExpires
    /Date(0)/   Petrol  /Date(1457523875033)/   Evening $17,985 TRUE    Audi    Automatic   0001-0268-0271- 0   TRUE    2005    2000    /Date(1457854140345)/   FALSE   0   Dark Blue   61988   17985   ABC123      /Date(1458128675033)/   0   Audi A4 Test887 2005    WAUZZZ8EX5A457186   /Trade-Me-Motors/Cars/Audi  /Date(0)/   Sedan       Whangarei       4554769 Northland   A4  /Date(0)/
    /Date(0)/   Petrol  /Date(1457525091850)/   Evening $17,985 TRUE    Audi    Automatic   0001-0268-0271- 0   TRUE    2005    2000    /Date(1457854140345)/   FALSE   0   Dark Blue   61988   17985   ABC123      /Date(1458129891850)/   0   Audi A4 Test biz1 2005  WAUZZZ8EX5A457186   /Trade-Me-Motors/Cars/Audi  /Date(0)/   Sedan       Whangarei       4554770 Northland   A4  /Date(0)/
    /Date(0)/   Petrol  /Date(1457530941643)/   Evening $17,985 TRUE    Audi    Automatic   0001-0268-0271- 0   TRUE    2005    2000    /Date(1457854140345)/   FALSE   0   Dark Blue   61988   17985   ABC123      /Date(1458135741643)/   0   Audi A4 Test123 2005    WAUZZZ8EX5A457186   /Trade-Me-Motors/Cars/Audi  /Date(0)/   Sedan       Whangarei       4554773 Northland   A4  /Date(0)/
    /Date(0)/   Petrol  /Date(1457532268097)/   Evening $17,985 TRUE    Audi    Automatic   0001-0268-0271- 0   TRUE    2005    2000    /Date(1457854140345)/   FALSE   0   Dark Blue   61988   17985   ABC123      /Date(1458137068097)/   0   Audi A4 Luxary Ship for Sale 2005   WAUZZZ8EX5A457186   /Trade-Me-Motors/Cars/Audi  /Date(0)/   Sedan       Whangarei       4554774 Northland   A4  /Date(0)/
    /Date(0)/   Petrol  /Date(1457612061090)/   Evening $17,985 TRUE    Audi    Automatic   0001-0268-0271- 0   TRUE    2005    2000    /Date(1457854140345)/   FALSE   0   Dark Blue   61988   17985   ABC123      /Date(1458216861090)/   0   Audi A4 Well Established, EST T/O $8.8M, Owne 2005  WAUZZZ8EX5A457186   /Trade-Me-Motors/Cars/Audi  /Date(0)/   Sedan       Whangarei       4557063 Northland   A4  /Date(0)/

首先,您將要從數據框中獲取那些“ /”和“,”。 對於列的均值,可以使用pandas中的df.mean()函數。

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