我尝试使用pandas编写统计模型。首先,我想首先对价格进行简单的均值和中位数检查。我在下面的csv中显示了数据。
我的尝试:
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中的数据:
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)/
答案 0 :(得分:-1)
首先,您需要从数据框中获取“/”和“,”。对于列的平均值,您可以使用pandas中的df.mean()函数。