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GRADED SECTION B The dataframe a _ df loads the dataset that contains information on a number of categories regarding traffic ( variable cnt represents

GRADED SECTION B
The dataframe a_df loads the dataset that contains information on a number of categories regarding traffic (variable cnt represents the actual traffic) at US airports from February 2011. The dataset
has already been loaded for you in the first code cell above.
Print the number of rows for the subset of the dataframe for which traffic values are higher than 10,000(ideally, you should format the print to put the thousands comma separator--as in
23,400 instead of 23400
Print the names of all the columns of the dataframe
Print a subset of the dataframe containing the 10th and the 3 rd rows of the original dataframe (in that order).
Which US state has the 8th largest total airport traffic? Please, make sure you use the correct variable as described above.
Which state has the second-most total number of airports (i.e. the second-most amount of airports)?
Of the cities that have multiple airports, which one has the least total traffic for all airports?
What is the total airport traffic for all states that border the state of Massachusetts?GRADED SECTION A
Determine the shape, number of dimensions and type of elements in the numpy array nparr
Determine the standard deviation of all elements in nparr
Determine the position (not the value) of the maximum value element in nparr
Create an array of the same shape as nparr but filled with zeros
Create an array of the same shape as nparr but filled with ones
Create an array of the same shape as nparr but where all elements are the square root values
Create an array result of shape 12 by 12 resulting from multiplication of nparr with transpose(nparr). Hint: use np. dot
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