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lab_scatter/transform.py

71 lines
2.1 KiB
Python

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