drawing the scatter plot

checkpoint 3 was not bad the only thing i struggled with was making the
code for scaled x and y positions. specificlly on how to figuer out what the
range min and max were.

scatterplot.py

@@ -36,9 +36,42 @@ def draw_scatterplot(data, size=5, color="black"):
 def draw_axes(data):
     "Draws the scatter plot's axes."
 
+    draw_x_axis()
+    x_values = get_x_values(data)
+    xmin, xmax = bounds(x_values)
+    ticks = get_tick_values(xmin, xmax)
+    for tick in ticks:
+        screen_x_position = scale(tick, xmin, xmax, 0, constants.PLOT_WIDTH)
+        draw_x_tick(screen_x_position, tick)
+
+    draw_y_axis()
+    y_values = get_y_values(data)
+    ymin, ymax = bounds(y_values)
+    ticks = get_tick_values(ymin, ymax)
+    for tick in ticks:
+        screen_y_position = scale(tick, ymin, ymax, 0, constants.PLOT_WIDTH)
+        draw_y_tick(screen_y_position, tick)
+
 def draw_points(data, color, size):
     "Draws the scatter plot's points."
 
+    x_values = get_x_values(data)
+    y_values = get_y_values(data)
+
+    x1, x2 = bounds(x_values)
+    y1, y2 = bounds(y_values)
+
+
+    y_r_min = min(y_values)
+    y_r_max = max(y_values)
+
+    
+    for x, y in data:
+        scaled_x = scale(x, x1, x2, 10, 500)
+        scaled_y = scale(y, y1, y2, 5, 400)
+        
+        draw_point(scaled_x, scaled_y, color, size)
+
 with no_delay():
     data = generate_data(50, 10, 500, 5, 400, 1000)
     draw_scatterplot(data, size=5, color="blue")

transform.py

@@ -62,7 +62,7 @@ def scale(value, domain_min, domain_max, range_min, range_max):
 def get_x_values(points):
     "Returns the first value for each point in points."
     
-    a, b, c = points
+    
     x_points =[]
     for x, y in (points): 
         x_points.append(x)
@@ -77,7 +77,7 @@ def get_x_values(points):
 def get_y_values(points):
     "Returns the second value for each point in points."
     
-    a, b, c = points
+    
     y_points =[]
     for x, y in (points): 
         y_points.append(y)