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Wrote functions draw_axes and draw_points in scatterplot.py to draw a scatterplot with the x and y axes and the given points (blue dots).

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kated
2026-03-24 11:09:52 -04:00
parent 76ab4b547f
commit 49700bc212
1 changed files with 32 additions and 0 deletions
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scatterplot.py
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@@ -35,9 +35,41 @@ def draw_scatterplot(data, size=5, color="black"):
def draw_axes(data): def draw_axes(data):
"Draws the scatter plot's axes." "Draws the scatter plot's axes."
draw_x_axis()
x_values = get_x_values(data)
xmin, xmax = bounds(x_values)
x_ticks = get_tick_values(xmin, xmax)
for tick in x_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)
y_ticks = get_tick_values(ymin, ymax)
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): def draw_points(data, color, size):
"Draws the scatter plot's points." "Draws the scatter plot's points."
x_values = get_x_values(data)
xmin, xmax = bounds(x_values)
y_values = get_y_values(data)
ymin, ymax = bounds(y_values)
for point in data:
"this will return a list with just one x and y value"
"we are looking for one value of x and y as an integer."
"look at how we wrote the get_x_values function, how did we extract the x or y value from the point?"
x, y = point
"So close! I have the same trouble with the domain and range."
"domain is not x and range y as we normally think of it."
"domain is the input values for this scale - the min and max x or y values"
"range is the output values for the scatterplot - the min and max that can be displayed on our plot"
"Look at your constants for the size of your plot. The range min for x values would be 0 and max would be what value in the constants file?"
scaled_x = scale(x, xmin, xmax, 0, constants.PLOT_WIDTH)
scaled_y = scale(y, ymin, ymax, 0, constants.PLOT_HEIGHT)
draw_point(scaled_x, scaled_y, color, size)
with no_delay(): with no_delay():
data = generate_data(50, 10, 500, 5, 400, 1000) data = generate_data(50, 10, 500, 5, 400, 1000)