[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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