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.

planning_scatter.md

@@ -4,9 +4,28 @@
   - Draw the axes.
     - Draw the x-axis.
       - Draw the line.
-      - ...
+      - Find the range of the x-values 
+      - Divide the range by 5
+      - Start at the origin. Label it with the lowest x-value
+      - repeat until at the end of the axis: 
+        - add 1/5 of the range to the x-value
+        - move to the right 1/5 of the length of the axis
+        - draw a tick mark and label with the next x-value
+      
     - Draw the y-axis.
       - Draw the line.
-      - ...
+      - Find the range of the y-values 
+      - Divide the range by 5
+      - Start at the origin. Label it with the lowest y-value
+      - repeat until at the end of the axis: 
+        - add 1/5 of the range to the y-value
+        - move up 1/5 of the length of the axis
+        - draw a tick mark and label with the next y-value
   - Plot the points.
-    - ...
+    - Repeat for each point:
+      - Start with turtle at the "origin"
+      - move to the right the amount of the difference between the  x-value and the lowest x- value
+      - move up the amount of the difference between the  y-value and the lowest y-value
+      - plot the point
+      - return to the "origin"
+    

poetry.lock

@@ -342,13 +342,13 @@ files = [
 
 [[package]]
 name = "sphinx"
-version = "7.1.1"
+version = "7.1.2"
 description = "Python documentation generator"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "sphinx-7.1.1-py3-none-any.whl", hash = "sha256:4e6c5ea477afa0fb90815210fd1312012e1d7542589ab251ac9b53b7c0751bce"},
+    {file = "sphinx-7.1.2-py3-none-any.whl", hash = "sha256:d170a81825b2fcacb6dfd5a0d7f578a053e45d3f2b153fecc948c37344eb4cbe"},
-    {file = "sphinx-7.1.1.tar.gz", hash = "sha256:59b8e391f0768a96cd233e8300fe7f0a8dc2f64f83dc2a54336a9a84f428ff4e"},
+    {file = "sphinx-7.1.2.tar.gz", hash = "sha256:780f4d32f1d7d1126576e0e5ecc19dc32ab76cd24e950228dcf7b1f6d3d9e22f"},
 ]
 
 [package.dependencies]

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
@@ -35,9 +36,35 @@ 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)

test_transform.py

@@ -21,14 +21,14 @@ test(minimum, [[0, 1, 2, 3]], 0)
 test(minimum, [[-10, -20, -30]], -30)
 test(bounds, [[0, 1, 2, 3]], [0, 3])
 test(bounds, [[-10, -20, -30]], [-30, -10])
-test(clamp, [[10, 0, 100]], 10)
+test(clamp, [10, 0, 100], 10)
-test(clamp, [[-10, 0, 100]], 0)
+test(clamp, [-10, 0, 100], 0)
-test(clamp, [[104, 0, 100]], 100)
+test(clamp, [104, 0, 100], 100)
-test(ratio, [[5, 0, 10]], 0.5)
+test(ratio, [5, 0, 10], 0.5)
-test(ratio, [[167, 100, 200]], 0.67)
+test(ratio, [167, 100, 200], 0.67)
-test(ratio, [[8, 10, 0]], 0.2)
+test(ratio, [8, 10, 0], 0.2)
-test(ratio, [[4, 10, 20]], 0.0)
+test(ratio, [4, 10, 20], 0.0)
-test(scale, [[4, 0, 10, 0, 100]], 40)
+test(scale, [4, 0, 10, 0, 100], 40)
-test(scale, [[180, 120, 240, 0, 100]], 50)
+test(scale, [180, 120, 240, 0, 100], 50)
 test(get_x_values, [[[0, 5], [1, 5], [2, 5]]], [0, 1, 2])
 test(get_y_values, [[[0, 5], [1, 5], [2, 5]]], [5, 5, 5])

transform.py

@@ -6,38 +6,67 @@
 
 def maximum(data):
     "Returns the largest number in data"
-    raise NotImplementedError
+    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
+    min = minimum(data)
+    max = maximum(data)
+    bounds = [min, max]
+    return bounds
 
 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:
+        return low
+    elif value > high:
+        return high
+    else: 
+        return value
 
 def ratio(value, start, end):
-    """Returns a number from 0.0 to 1.0, representing how far along value is from start to end.
+    """Returns a number from 0.0 to 1.0, representing how far along value is 
-    The return value is clamped to [0, 1], so even if value is lower than start, the return 
+    from start to end.The return value is clamped to [0, 1], so even if value 
-    value will not be lower than 0.0.
+    is lower than start, the return value will not be lower than 0.0.
     """
-    raise NotImplementedError
+    number = ((value - start)/(end - start))
+    number = clamp(number, 0.0, 1.0)
+    return number
 
 def scale(value, domain_min, domain_max, range_min, range_max):
     "Given a value within a domain, returns the scaled equivalent within range."
-    raise NotImplementedError
+    r = ratio(value, domain_min, domain_max)
+    return range_min + r*(range_max - range_min)
 
 def get_x_values(points):
     "Returns the first value for each point in points."
-    raise NotImplementedError
+    x_list = []
+    for data in points:
+        x_list.append(data[0])
+    return x_list
 
 def get_y_values(points):
     "Returns the second value for each point in points."
-    raise NotImplementedError
+    y_list = []
+    for data in points:
+        y_list.append(data[1])
+    return y_list