Import numpy for use in the program

Before starting, download the files chicken$\_$weight.csv and

chicken$\_$data.csv$.$ The file chicken$\_$weight.csv is a comma delimited file

that stores the weights of a set of chickens and time, which is the time

in days since their birth. The file chicken$\_$data.csv is a

comma$-$delimited file that stores data for the same set of chickens in

the same order. The file chicken$\_$data.csv includes the columns: chick,

$($an identifier for each chicken$)$ and diet $($value between $1-4).$

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Read the data in the comma$-$delimited file, chicken$\_$weight.csv into a

numpy array, weights

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Read the data in the comma$-$delimited file, chicken$\_$data.csv into a numpy

array, data

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Merge the numpy arrays, weights and data into a two$-$dimensional numpy

array, chicken$\_$data. The first column should store the weights, and the

remaining columns should store the time $($in days$)$ from birth, the

chicken identifier and the chicken diet $(1-4).$

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Display the mean weight and time for all chickens.

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Display the data for the chick with the id $38.$

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Calculate and display the maximum chicken weight.

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Find and display the age $($in days$)$ of the chicken$($s$)$ with the maximum

weight.

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Extract an array containing the weight, time and id of all chickens with

diet $4$ and save to a file, diet$\_$four$\_$chickens.csv$.$