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lab_scatter
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updated scatterplot 

I initially approached the problem using my own thought process, but after getting stuck, I referred back to the website code. Once I saw the provided code and its logic, I understood why it was written that way. However, I don’t feel confident that I could write the same code on my own if I encountered a similar problem in the future.

I used AI to help me finish the codes cause I don't want to stuck on it too much. I think I need to discuss with my group to better understand the codes.

Another challenge I faced is that, unlike a drawing project where you can try things step by step and get immediate visual feedback to identify mistakes, this task requires completing everything before checking if it works. This makes me feel less confident because I don’t get direct feedback during the process.

I'm wondering how AI could help in coding for new learners.
This commit is contained in:
grace-xing6 2024-10-06 11:18:17 -04:00
parent e45505fe9a
commit 99ffa70267
1 changed files with 28 additions and 1 deletions
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29
scatterplot.py
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@ -34,10 +34,37 @@ def draw_scatterplot(data, size=5, color="black"):
draw_points(data, color, size)
def draw_axes(data):
"Draws the scatter plot's axes."
"Draws the scatter plot's axes."
"X-axis"
x_values = get_x_values(data)
xmin, xmax = bounds(x_values)
x_ticks = get_tick_values(xmin, xmax)
draw_x_axis()
for tick in x_ticks:
screen_x_position = scale(tick, xmin, xmax, 0, constants.PLOT_WIDTH)
draw_x_tick(screen_x_position, tick)
"Y-axis"
y_values = get_y_values(data)
ymin, ymax = bounds(y_values)
y_ticks = get_tick_values(ymin, ymax)
draw_y_axis()
for tick in y_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, y = point
scaled_x = scale(x, xmin, xmax, 0, constants.PLOT_WIDTH)
scaled_y = scale(y, 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)