I created functions for all the given for this lab. Writing these functions were not terrible. In the beginning, I was a thinking a lot but then I got the hang of it as I continue to develop the functions. I incorporated the print command in my functions as I liked to see what was returning the check my work. I feel this helped me out in order to understand the how to develop functions. When I got stuck, i typically read the error that came up in my window or I broke down what it was asking me to develop and then reflect on what I coded.

transform.py

@@ -6,38 +6,79 @@
 
 def maximum(data):
     "Returns the largest number in data"
-    raise NotImplementedError
+    highest = None
+    for number in data:
+        if highest is None:
+            highest = number
+        if number > highest:
+            highest = number
+    print(highest)
+    return highest
+    
 
 def minimum(data):
     "Returns the smallest number in data"
-    raise NotImplementedError
+    lowest = None
+    for number in data: 
+        if lowest is None: 
+            lowest = number
+        if number < lowest:
+            lowest = number
+    print(lowest)
+    return lowest
+
 
 def bounds(data):
     "Returns a list of the smallest and largest numbers in data"
-    raise NotImplementedError
+    bounds = [minimum(data), maximum(data)]
+    print(bounds)
+    return bounds
 
 def clamp(value, low, high):
     """Clamps a value to a range from low to high. 
     Returns value if it is between low and high.
     If value is lower than low, returns low. If value is higher than high, returns high.
     """
-    raise NotImplementedError
+    if value < low: 
+        print(low)
+        return low
+    if value > high: 
+        print(high)
+        return high
+    print(value)
+    return value
+
+    
 
 def ratio(value, start, end):
     """Returns a number from 0.0 to 1.0, representing how far along value is from start to end.
     The return value is clamped to [0, 1], so even if value is lower than start, the return 
     value will not be lower than 0.0.
     """
-    raise NotImplementedError
-
+    r = (value - start) / (end - start)
+    r = clamp(r, 0.0, 1.0)
+    print(r)
+    return(r)
+    
 def scale(value, domain_min, domain_max, range_min, range_max):
     "Given a value within a domain, returns the scaled equivalent within range."
-    raise NotImplementedError
+    r = ratio(value, domain_min, domain_max)
+    scaled_value = range_min + r * (range_max - range_min)
+    print(scaled_value)
+    return scaled_value
 
 def get_x_values(points):
     "Returns the first value for each point in points."
-    raise NotImplementedError
+    x_values = []
+    for x, y in points: 
+        x_values.append(x)
+    print(x_values)
+    return x_values
 
 def get_y_values(points):
     "Returns the second value for each point in points."
-    raise NotImplementedError
+    y_values = []
+    for x, y in points: 
+        y_values.append(y)
+    print(y_values)
+    return y_values