generated from mwc/lab_scatter
fe2e973e6d
checkpoint 3 was not bad the only thing i struggled with was making the code for scaled x and y positions. specificlly on how to figuer out what the range min and max were.
80 lines
1.9 KiB
Python
80 lines
1.9 KiB
Python
# scatterplot.py
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# ------------
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# By MWC Contributors
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# Uses lots of helper functions in other modules to draw a scatter plot.
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from turtle import *
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from superturtle.movement import no_delay
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import constants
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from generate_data import generate_data
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from ticks import get_tick_values
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from plotting import (
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prepare_screen,
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draw_x_axis,
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draw_y_axis,
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draw_x_tick,
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draw_y_tick,
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draw_point,
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)
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from transform import (
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maximum,
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minimum,
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bounds,
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clamp,
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ratio,
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scale,
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get_x_values,
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get_y_values,
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)
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def draw_scatterplot(data, size=5, color="black"):
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"Draws a scatter plot, showing the data"
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prepare_screen()
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draw_axes(data)
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draw_points(data, color, size)
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def draw_axes(data):
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"Draws the scatter plot's axes."
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draw_x_axis()
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x_values = get_x_values(data)
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xmin, xmax = bounds(x_values)
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ticks = get_tick_values(xmin, xmax)
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for tick in ticks:
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screen_x_position = scale(tick, xmin, xmax, 0, constants.PLOT_WIDTH)
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draw_x_tick(screen_x_position, tick)
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draw_y_axis()
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y_values = get_y_values(data)
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ymin, ymax = bounds(y_values)
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ticks = get_tick_values(ymin, ymax)
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for tick in ticks:
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screen_y_position = scale(tick, ymin, ymax, 0, constants.PLOT_WIDTH)
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draw_y_tick(screen_y_position, tick)
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def draw_points(data, color, size):
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"Draws the scatter plot's points."
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x_values = get_x_values(data)
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y_values = get_y_values(data)
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x1, x2 = bounds(x_values)
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y1, y2 = bounds(y_values)
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y_r_min = min(y_values)
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y_r_max = max(y_values)
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for x, y in data:
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scaled_x = scale(x, x1, x2, 10, 500)
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scaled_y = scale(y, y1, y2, 5, 400)
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draw_point(scaled_x, scaled_y, color, size)
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with no_delay():
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data = generate_data(50, 10, 500, 5, 400, 1000)
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draw_scatterplot(data, size=5, color="blue")
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hideturtle()
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done()
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