Exercise 3

 

These exercises are about data types and custom functions from Session 1 session1.

Exercise 1 - NumPy

• Import NumPy

• Create a NumPy array with the following 4 columns and 5 rows.

  • Sample - R1, R2, R3, R4, R5
  • Year - 1990, 2010, 2005, 2015, 2012
  • Replicate - True, True, False, False, False
  • Tissue - Skin, Skin, Brain, Brain, Brain

## array([['R1', '1990', 'True', 'Skin'],
##        ['R2', '2010', 'True', 'Skin'],
##        ['R3', '2005', 'False', 'Brain'],
##        ['R4', '2015', 'False', 'Brain'],
##        ['R5', '2012', 'False', 'Brain']], dtype='<U21')

• Slice the array to get just the Sample and Year.

## array([['R1', '1990'],
##        ['R2', '2010'],
##        ['R3', '2005'],
##        ['R4', '2015'],
##        ['R5', '2012']], dtype='<U21')

• Subset the array to just Brain Tissue samples.

## array([['R3', '2005', 'False', 'Brain'],
##        ['R4', '2015', 'False', 'Brain'],
##        ['R5', '2012', 'False', 'Brain']], dtype='<U21')

Exercise 2 - NumPy

• Make an array that is 3 rows and 6 columns, and contains the numbers 1 through 18

## array([[ 1,  2,  3,  4,  5,  6],
##        [ 7,  8,  9, 10, 11, 12],
##        [13, 14, 15, 16, 17, 18]])

• Confirm that your array has the correct shape

## (3, 6)

• Modify the array so that it has 6 rows and 3 columns

• Index this array into two different arrays, one that contains the values less than 10, and another that contains values that are 10 or higher.

## array([1, 2, 3, 4, 5, 6, 7, 8, 9])

## array([10, 11, 12, 13, 14, 15, 16, 17, 18])

• Confirm the shape and dimensions of these arrays.

## (9,)

## 1

## (9,)

## 1

• Convert both of the new arrays to two dimensional, 3 by 3 arrays.

## array([[1, 2, 3],
##        [4, 5, 6],
##        [7, 8, 9]])

## array([[10, 11, 12],
##        [13, 14, 15],
##        [16, 17, 18]])

• Concatenate these two arrays, joining them by columns.

## array([[ 1,  2,  3, 10, 11, 12],
##        [ 4,  5,  6, 13, 14, 15],
##        [ 7,  8,  9, 16, 17, 18]])

Exercise 3 - Custom Functions

• Create a function which takes one number and returns the square of that number

## 81

• Create a function which takes two numbers and returns the mean and the minimum

## [2.0, 1]

• Edit the previous function to print a statement that telling us what the product of our number is.

## The product is 3
## [2.0, 1]

• Add some default values to our function. Run the function without giving any arguments.

## The product is 400
## [25.0, 10]

Exercise 4 - Custom Functions

• Create function that takes three lists and coerces them into one set. The function must return the set, but also print its length.

** Think about each individual step required to do this**

Run the function using these inputs

list1 = ["INS","INSR", "VEGFA","VEGFR1","VEGFR2"]
list2 = ["TGFBR1","EGFR","VEGFR1","VEGFR2"]
list3 = ["APOE", "IL6", "TGFB1","TGFBR1","TNF"]

Save the function as a python script. Import the function and run it on this new set of lists

list1 = ["'GO:0030955'","GO:0031403", "GO:0031411"]
list2 = ["GO:0031402","GO:0030955"]
list3 = ["GO:0031402", "GO:0030957", "GO:0030955"]