generated from mwc/lab_scatter
72 lines
2.0 KiB
Python
72 lines
2.0 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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min = minimum(data)
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max = maximum(data)
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bounds = [min, max]
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return bounds
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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
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from start to end.The return value is clamped to [0, 1], so even if value
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is lower than start, the return 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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r = ratio(value, domain_min, domain_max)
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return range_min + r*(range_max - range_min)
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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 data in points:
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x_list.append(data[0])
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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 data in points:
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y_list.append(data[1])
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return y_list |