checkpoint 2: completed transform.py

This was review. everything was manageable.

transform.py

@@ -6,38 +6,71 @@
 
 def maximum(data):
     "Returns the largest number in data"
-    raise NotImplementedError
+    max= None
+    for n in data:
+        if max is None:
+            max = n
+        if n > max:
+            max = n
+    return max
+
 
 def minimum(data):
     "Returns the smallest number in data"
-    raise NotImplementedError
+    min= None
+    for n in data:
+        if min is None:
+            min = n
+        if n < min:
+            min = n
+    return min
 
 def bounds(data):
     "Returns a list of the smallest and largest numbers in data"
-    raise NotImplementedError
+    bounds=[]
+    bounds.append(minimum(data))
+    bounds.append(maximum(data))
+    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
+    val= None
+    if value > low and value < high:
+        val= value
+    if value < low:
+        val = low
+    if value > high:
+        val= high
+    return val
 
 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
+    ratio= (value-start)/(end-start)
+    return clamp(ratio, 0, 1)
 
 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)
+    scale= range_min+r*(range_max-range_min)
+    return scale
+
 
 def get_x_values(points):
     "Returns the first value for each point in points."
-    raise NotImplementedError
+    xs=[]
+    for point in points:
+        xs.append(point[0])
+    return xs
 
 def get_y_values(points):
     "Returns the second value for each point in points."
-    raise NotImplementedError
+    ys=[]
+    for point in points:
+        ys.append(point[1])
+    return ys