CSV中的熊猫数据分析

Question

我正在尝试使用熊猫编写统计模型。 首先，我想先做一个简单的均值和中位数价格检查。 我已经在下面的csv中显示了数据。

我尝试过的

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格式的数据：

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)/

Answer 1

首先，您将要从数据框中获取那些“ /”和“，”。 对于列的均值，可以使用pandas中的df.mean（）函数。