generated from mwc/lab_scatter
	Checkpoint 2: It went okay. There were points where I couldn't figure out what was going wrong so I had to look up the commands to make sure I was using them as intended. Personally, coding is a lot of trial and error for me in the learning process. I have to see what the code understands and what it doesn't so I can rewrite it in a way that can be understood. With practice I get used to its "lingo" for example the idententation patterns, repetition, redefinition etc.
		
			
				
	
	
		
			63 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			63 lines
		
	
	
		
			1.5 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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    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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    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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    bounds = [minimum(data), maximum(data)]
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    return bounds
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#I don't understand the point of the clamp function at this point. 
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def clamp(value, low, high):
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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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    else:
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        return value
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def ratio(value, start, end):
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    low, high = min(start,end), max(start, end)
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    clampedval = clamp(value, low, high)
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    ratio = (clampedval-start)/(end-start)
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    return ratio
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def scale(value, domain_min, domain_max, range_min, range_max):
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    ratio(value, domain_min, domain_max)
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    scaled = range_min + (ratio(value, domain_min, domain_max)*(range_max-range_min))
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    return scaled
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def get_x_values(points):
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    x_values=[]
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    for point in points:
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        x_values.append(point[0])
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    return x_values
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def get_y_values(points):
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    y_values=[]
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    for point in points:
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        y_values.append(point[1])
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        print(y_values)
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    return y_values
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