generated from mwc/lab_scatter
95 lines
2.1 KiB
Python
95 lines
2.1 KiB
Python
# transform.py
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# ------------
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# By MWC Contributors
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# The functions in this module transform data.
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# None of them are finished; this is your job!
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def maximum(data):
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"Returns the largest number in data"
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highest = None
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for number in data:
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if highest is None:
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highest = number
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if number > highest:
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highest = number
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return highest
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def minimum(data):
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"Returns the smallest number in data"
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lowest = None
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for number in data:
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if lowest is None:
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lowest = number
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if number < lowest:
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lowest = number
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return lowest
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def bounds(data):
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"Returns a list of the smallest and largest numbers in data"
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highest = maximum(data)
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lowest = minimum(data)
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return [lowest, highest]
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def clamp(value, low, high):
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"""Clamps a value to a range from low to high.
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Returns value if it is between low and high.
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If value is lower than low, returns low. If value is higher than high, returns high.
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"""
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if value < low:
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return low
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elif value > high:
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return high
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else:
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return value
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def ratio(value, start, end):
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"""Returns a number from 0.0 to 1.0, representing how far along value is from start to end.
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The return value is clamped to [0, 1], so even if value is lower than start, the return
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value will not be lower than 0.0.
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"""
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number = (value-start)/(end-start)
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number = clamp(number, 0.0, 1.0)
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return number
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def scale(value, domain_min, domain_max, range_min, range_max):
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"Given a value within a domain, returns the scaled equivalent within range."
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scale = range_min + ((ratio(value, domain_min, domain_max))*(range_max - range_min))
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return scale
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def get_x_values(points):
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"Returns the first value for each point in points."
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x_list = []
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for point in points:
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x = point[0]
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x_list.append (x)
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return x_list
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def get_y_values(points):
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"Returns the second value for each point in points."
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y_list = []
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for point in points:
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y = point[1]
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y_list.append (y)
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return y_list
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