checkpooint 3: completed scatterplot

I think i am used to bottom-up problem solving. I like doing problems by first utilizing the knowledge I
already have and expanding it. Top-down thinking, like we did in checkpoint 1 may sometimes make it difficult to
proceed once you get stuck in a step. For bottom up, you can move onto a different part which you already know.

scatterplot.py

@@ -35,9 +35,35 @@ def draw_scatterplot(data, size=5, color="black"):
 
 def draw_axes(data):
     "Draws the scatter plot's axes."
+    draw_x_axis()
+    x_val = get_x_values(data)
+    xmin, xmax = bounds(x_val)
+    ticks = get_tick_values(xmin, xmax)
+    for tick in ticks:
+        screen_x_pos = scale(tick, xmin, xmax, 0, constants.PLOT_WIDTH)
+        draw_x_tick(screen_x_pos, tick)
+
+    draw_y_axis()
+    y_val= get_y_values(data)
+    ymin, ymax = bounds(y_val)
+    ticks= get_tick_values(ymin, ymax)
+    for tick in ticks:
+        screen_y_pos = scale(tick, ymin, ymax, 0, constants.PLOT_WIDTH)
+        draw_y_tick(screen_y_pos, tick)
 
 def draw_points(data, color, size):
     "Draws the scatter plot's points."
+    x_val = get_x_values(data)
+    y_val= get_y_values (data)
+    xmin, xmax = bounds(x_val)
+    ymin, ymax = bounds(y_val)
+    for point in data:
+        scaled_x = scale(point[0], xmin, xmax, 0, constants.PLOT_WIDTH)
+        scaled_y = scale(point[1], ymin, ymax, 0, constants.PLOT_WIDTH)
+        draw_point(scaled_x, scaled_y, color, size)
+
+    
+
 
 with no_delay():
     data = generate_data(50, 10, 500, 5, 400, 1000)

transform.py

@@ -40,9 +40,9 @@ def clamp(value, low, high):
     val= None
     if value > low and value < high:
         val= value
-    if value < low:
+    if value <= low:
         val = low
-    if value > high:
+    if value >= high:
         val= high
     return val