Checkpoint #3

Overall I think it went well. The only place I got stuck at this checkpoint
was with scaling the x and the y coordinates of the points. To be
honest, I'm still not 100% sure how that scale function works, even in
the context of the overall program. Perhaps it has to do with the description
which includes both domain and range, but using a different set of inputs
for x values compared to y values. Overall, I think I had a good idea
of the steps that were required in checkpoint 1, however I did not break
it down into pieces as small as this code ended up doing.

An idea for a similar/extension program, would be a program that
adds a line of best fit and calculates/displays the equation and
correlation coefficient of the regression equation.

scatterplot.py

@@ -3,6 +3,7 @@
 # By MWC Contributors
 # Uses lots of helper functions in other modules to draw a scatter plot.
 
+from sqlite3 import DatabaseError
 from turtle import *
 from superturtle.movement import no_delay
 import constants
@@ -35,10 +36,36 @@ 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_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)
+    xmin, xmax = bounds(x_values)
+    ymin, ymax = bounds(y_values)
 
+    for point in data:
+        x = point[0]
+        y = point[1]
+        x_scaled = scale(x, xmin, xmax, 0, constants.PLOT_WIDTH)
+        y_scaled = scale(y, ymin, ymax, 0, constants.PLOT_HEIGHT)
+        draw_point(x_scaled, y_scaled, color, size)
+        
 with no_delay():
     data = generate_data(50, 10, 500, 5, 400, 1000)
     draw_scatterplot(data, size=5, color="blue")