generated from mwc/lab_scatter
7e82d88659
It went well. At first it wasn't clear what the scale function was supposed to do because it also translates the data so it's really more of a change of coordinates.
57 lines
1.7 KiB
Python
57 lines
1.7 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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ans = None
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for datum in data:
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if ans is None or datum > ans:
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ans = datum
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return ans
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def minimum(data):
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"Returns the smallest number in data"
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ans = None
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for datum in data:
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if ans is None or datum < ans:
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ans = datum
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return ans
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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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return [minimum(data), maximum(data)]
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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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if value > high:
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return high
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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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progress = (value - start) / (end - start)
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return clamp(progress, 0.0, 1.0)
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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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return range_min + ratio(value, domain_min, domain_max) * (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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return [x for x, y in points]
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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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return [y for x, y in points]
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