#Write a function that accepts the dataframe as input and prints the total sum of prices, maxuimum price, minimum price, count of prices for all properties, no matter if sold or not. Also it prints the following: Sum of all prices, grouped by the State column Count of Prices, grouped by the State column In [10]: def price_stats (df): pass In [11]: price_stats (df) Price Simple Statistical information: The sum of all prices is: 75072897.7008 The maximum price is: 538271.7356 The minimum price is: 538271.7356 The count of all prices is: 267 Sum of prices, grouped by State is: Price State Arizona 2.854796e+06 California 3.330352e+07 Colorado 2.570287e+06 Kansas 2.521860e+05 Nevada 4.660128e+06 Oregon 2.602527e+06 Utah 1.386852e+06 Virginia 8.605767e+05 Wyoming 2.042867e+05 Count of prices, grouped by State is: Price State Arizona 11 California 119 Colorado 11 Kansas 1 Nevada 17 Oregon 11 Utah 6 Virginia 4 Wyoming 1 In (): Screenshot #Write a function that accepts the dataframe as input and prints the total sum of prices, maxuimum price, minimum price, count of prices for all properties, no matter if sold or not. Also it prints the following: Sum of all prices, grouped by the State column Count of Prices, grouped by the State column In [10]: def price_stats (df): pass In [11]: price_stats (df) Price Simple Statistical information: The sum of all prices is: 75072897.7008 The maximum price is: 538271.7356 The minimum price is: 538271.7356 The count of all prices is: 267 Sum of prices, grouped by State is: Price State Arizona 2.854796e+06 California 3.330352e+07 Colorado 2.570287e+06 Kansas 2.521860e+05 Nevada 4.660128e+06 Oregon 2.602527e+06 Utah 1.386852e+06 Virginia 8.605767e+05 Wyoming 2.042867e+05 Count of prices, grouped by State is: Price State Arizona 11 California 119 Colorado 11 Kansas 1 Nevada 17 Oregon 11 Utah 6 Virginia 4 Wyoming 1 In (): Screenshot