generated from mwc/lab_scatter
	Checkpoint 2: It went alright. It definitely felt like a different type of thinking as before we focused on using the turtle in functions. When I got stuck I made sure to take a break and come back to it.
		
			
				
	
	
		
			75 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			75 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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    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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        number = low
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    elif high < value:
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        number = high
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    else:
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        number = value
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    return number
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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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    num = (value-start)/(end-start)
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    out = clamp(num,0,1)
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    return out 
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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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    xlist = []
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    for x in range(len(points)):
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        val = points[x][0]
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        xlist.append(val)
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    return xlist
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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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    ylist = []
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    for y in range(len(points)):
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        val = points[y][1]
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        ylist.append(val)
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    return ylist
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