Wrote more functions in Python for preparation for scatter plot lab.

transform.py

@@ -5,30 +5,47 @@
 # None of them are finished; this is your job!
 
 def maximum(data):
-    "Returns the largest number in data"
-    raise NotImplementedError
+    "Returns the biggest number in data"
+    highest = None
+    for number in data:
+        if highest is None:
+            highest = number
+        if number > highest:
+            highest = number
+    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
+    return lowest
 def bounds(data):
     "Returns a list of the smallest and largest numbers in data"
-    raise NotImplementedError
+    return min(data), max(data)
 
 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 and value <= high:
+        return value
+     elif value > high:
+        return "High" ,m
+     else:
+        return "Low"
 
 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
+    return (value - start) / (end - start)
+
 
 def scale(value, domain_min, domain_max, range_min, range_max):
     "Given a value within a domain, returns the scaled equivalent within range."