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Part 1: Numpy Basics Given this home sales data:Create a Python list and put all the location data into an array. The order of the location names in the array should be maintained as on the table (that is, your array will start with “Irving” and end with “Fairwiew”). Use the name “location” to reference the array. Print the location array and the length of the array. Paste the screenshot of your code hereCreate an ndarray using the store the selling price and size data. The shape of the data should be maintained as on the table above (That is, the shape of your data should be (12, 2). Use the name “prices_sizes” to reference the array. Print the arrayPaste the screenshot of your code herePrint the shape, size, dimensions and type of data in the prices_sizes array in part above.Paste the screenshot of your code hereUse a Boolean selection, your location array, and prices_sizes array to select the data (selling price and size) for Irving only. Paste the screenshot of your code hereUse a Boolean selection, your location array, and prices_sizes array to select the data (selling price and size) for Shadyside only. Paste the screenshot of your code hereUse a Boolean selection, your location array, and prices_sizes array to select the data (selling price and size) for Fairview and Groton. Paste the screenshot of your code hereUse a Boolean selection, your location array, and prices_sizes array, to select the data (selling price and size) for every other location except Groton (Hint: you should use the “~” operator). Paste the screenshot of your code here Select and output data (selling prices and size) from the 3rd to the 6th row. Paste the screenshot of your code hereConvert the location array into a pandas DataFrame. Make sure the column referenced by the array are also passed into the DataFrame. Your DataFrame should be as shown below but should have all the data included:Paste the screenshot of your code here ................
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