checkpoint 3:

I am not sure If my final code ran correctly. I think it was supposed to be a scatter plot like the one you showed originally, but not sure.
Everytime I ran the code after I was done, it changed the scale each time.
Overall...before writing the function for drawing the points, I found the lab relatively easy to understand.
I could also be mistaken and understood it all wrong though.

I understand how it all worked together in the end, or ideally how it was supposed to.

I think using this top-down apporach can really help in most programs that requiere you to take some information and manipulate it to print out a specefic type of result.

scatterplot.py

@@ -34,10 +34,33 @@ def draw_scatterplot(data, size=5, color="black"):
     draw_points(data, color, size)
 
 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_HEIGHT)
+        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)
+
+    for x, y in data:
+        scaled_x = scale(x, x1, x2, 14, 492)
+        scaled_y = scale(y, y1, y2, -927, 3710)
+        draw_point(scaled_x, scaled_y, color, size)
+
 
 with no_delay():
     data = generate_data(50, 10, 500, 5, 400, 1000)