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# This program is free software under the GPL (>=v2) |
# This program is free software under the GPL (>=v2) |
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# Read the file COPYING coming with Thuban for details. |
# Read the file COPYING coming with Thuban for details. |
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""" |
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Functions to generate Classifications |
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""" |
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__version__ = "$Revision$" |
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# $Source$ |
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# $Id$ |
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import operator |
import operator |
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from color import Color |
from color import Color, Transparent |
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from range import Range |
from range import Range |
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from classification import Classification, ClassGroupSingleton, \ |
from classification import Classification, ClassGroupSingleton, \ |
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ClassGroupRange, ClassGroupProperties |
ClassGroupRange, ClassGroupProperties |
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class ClassGenerator: |
def generate_singletons(_list, ramp): |
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"""Generate a new classification consisting solely of singletons. |
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def GenSingletonsFromList(self, _list, numGroups, ramp): |
The resulting classification will consist of one group for each |
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"""Generate a new classification consisting solely of singletons. |
item in _list whose properties ramp between 'prop1' and 'prop2'. |
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The resulting classification will consist of at most 'numGroups' |
_list -- any object that implements the iterator interface |
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groups whose group properties ramp between 'prop1' and 'prop2'. There |
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could be fewer groups if '_list' contains fewer that 'numGroups' items. |
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_list -- any object that implements the iterator interface |
ramp -- an object which implements the CustomRamp interface |
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""" |
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numGroups -- how many groups to generate. This can not be |
clazz = Classification() |
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determined while the classification is being |
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generated because the stepping values must |
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be precalculated to ramp between prop1 and prop2. |
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prop1 -- initial group property values |
i = 0 |
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for value in _list: |
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prop = ramp.GetProperties(float(i) / len(_list)) |
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clazz.AppendGroup(ClassGroupSingleton(value, prop)) |
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i += 1 |
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prop2 -- final group property values |
return clazz |
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""" |
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clazz = Classification() |
def generate_uniform_distribution(min, max, numGroups, ramp, intStep = False): |
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if numGroups == 0: return clazz |
"""Generate a classification with numGroups range groups |
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each with the same interval. |
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ramp.SetNumGroups(numGroups) |
intStep -- force the calculated stepping to an integer. |
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Useful if the values are integers but the |
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number of groups specified doesn't evenly |
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divide (max - min). |
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""" |
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for value, prop in zip(_list, ramp): |
clazz = Classification() |
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clazz.AppendGroup(ClassGroupSingleton(value, prop)) |
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return clazz |
cur_min = min |
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def GenSingletons(self, min, max, numGroups, ramp): |
end = "[" |
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for i in range(1, numGroups + 1): |
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clazz = Classification() |
prop = ramp.GetProperties(float(i-1) / numGroups) |
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#step = int((max - min) / float(numGroups)) |
if intStep: |
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cur_max = min + int(round((i * (max - min + 1)) / float(numGroups))) |
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else: |
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cur_max = min + (i * (max - min)) / float(numGroups) |
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if numGroups > 0: |
if i == numGroups: |
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cur_max = max |
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end = "]" |
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step = int((max - min + 1) / float(numGroups)) |
if cur_min == cur_max: |
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cur_value = min |
_range = Range(("[", cur_min, cur_max, "]")) |
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else: |
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_range = Range(("[", cur_min, cur_max, end)) |
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ramp.SetNumGroups(numGroups) |
clazz.AppendGroup(ClassGroupRange(_range, prop)) |
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for prop in ramp: |
cur_min = cur_max |
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clazz.AppendGroup(ClassGroupSingleton(cur_value), prop) |
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cur_value += step |
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return clazz |
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def GenUnifromDistribution(self, min, max, numGroups, |
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ramp, intStep = False): |
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"""Generate a classification with numGroups range groups |
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each with the same interval. |
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intStep -- force the calculated stepping to an integer. |
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Useful if the values are integers but the |
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number of groups specified doesn't evenly |
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divide (max - min). |
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""" |
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clazz = Classification() |
return clazz |
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if numGroups == 0: return clazz |
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ramp.SetNumGroups(numGroups) |
def generate_quantiles(_list, percents, ramp, _range): |
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"""Generates a Classification which has groups of ranges that |
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represent quantiles of _list at the percentages given in percents. |
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Only the values that fall within _range are considered. |
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step = (max - min) / float(numGroups) |
Returns a tuple (adjusted, Classification) where adjusted is |
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True if the Classification does not exactly represent the given |
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range, or if the Classification is empty. |
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if intStep: |
_list -- a sort list of values |
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step = int(step) |
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cur_min = min |
percents -- a sorted list of floats in the range 0.0-1.0 which |
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cur_max = cur_min + step |
represent the upper bound of each quantile. the |
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union of all percentiles should be the entire |
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range from 0.0-1.0 |
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i = 0 |
ramp -- an object which implements the CustomRamp interface |
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end = "[" |
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for prop in ramp: |
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if i == (numGroups - 1): |
_range -- a Range object |
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cur_max = max |
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end = "]" |
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Raises a Value Error if 'percents' has fewer than two items, or |
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does not cover the entire range. |
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""" |
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# this check guards against rounding issues |
clazz = Classification() |
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if cur_min != cur_max: |
quantiles = calculate_quantiles(_list, percents, _range) |
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range = Range("[" + str(float(cur_min)) + ";" + |
adjusted = True |
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str(float(cur_max)) + end) |
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clazz.AppendGroup(ClassGroupRange(range, None, prop)) |
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cur_min = cur_max |
if quantiles is not None: |
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cur_max += step |
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i += 1 |
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return clazz |
numGroups = len(quantiles[3]) |
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if numGroups != 0: |
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def GenQuantiles(self, _list, percents, ramp, _range): |
adjusted = quantiles[0] |
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"""Generates a Classification which has groups of ranges that |
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represent quantiles of _list at the percentages given in percents. |
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Only the values that fall within _range are considered. |
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Returns a tuple (adjusted, Classification) where adjusted is |
start, min, endMax, right = _range.GetRange() |
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True if the Classification does not exactly represent the given |
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range, or if the Classification is empty. |
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_list -- a sort list of values |
oldp = 0 |
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i = 1 |
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end = "]" |
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percents -- a sorted list of floats in the range 0.0-1.0 which |
for (q, p) in quantiles[3]: |
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represent the upper bound of each quantile |
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ramp -- an object which implements the CustomRamp interface |
prop = ramp.GetProperties(float(i-1) / numGroups) |
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_range -- a Range object |
if i == numGroups: |
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""" |
max = endMax |
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end = right |
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else: |
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max = _list[q] |
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clazz = Classification() |
group = ClassGroupRange(Range((start, min, max, end)), prop) |
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quantiles = self.CalculateQuantiles(_list, percents, _range) |
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adjusted = True |
group.SetLabel("%s%% - %s%%" % (round(oldp*100, 2), |
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round(p*100, 2))) |
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oldp = p |
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start = "]" |
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min = max |
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clazz.AppendGroup(group) |
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i += 1 |
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if quantiles is not None: |
return (adjusted, clazz) |
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numGroups = len(quantiles[3]) |
def GenQuantiles0(_list, percents, ramp, _range): |
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"""Same as GenQuantiles, but the first class won't be added to |
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the classification. |
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if numGroups != 0: |
Returns a tuple (adjusted, Classification, upper_class0) where |
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upper_class0 is the highest value inside the first class. |
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adjusted = quantiles[0] |
_list -- a sort list of values |
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ramp.SetNumGroups(numGroups) |
percents -- a sorted list of floats in the range 0.0-1.0 which |
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represent the upper bound of each quantile. the |
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union of all percentiles should be the entire |
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range from 0.0-1.0 |
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min = _list[quantiles[1]] |
ramp -- an object which implements the CustomRamp interface |
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start = "[" |
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oldp = 0 |
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for (q, p), prop in zip(quantiles[3], ramp): |
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max = _list[q] |
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group = ClassGroupRange(Range(start + str(min) + ";" + |
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str(max) + "]"), |
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None, prop) |
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group.SetLabel("%s%% - %s%%" % (round(oldp*100, 2), |
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round(p*100, 2))) |
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oldp = p |
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start = "]" |
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min = max |
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clazz.AppendGroup(group) |
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return (adjusted, clazz) |
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def CalculateQuantiles(self, _list, percents, _range): |
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"""Calculate quantiles for the given _list of percents from the |
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sorted list of values that are in range. |
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This may not actually generate len(percents) quantiles if |
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many of the values that fall on quantile borders are the same. |
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Returns a tuple of the form: |
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(adjusted, minIndex, maxIndex, [quantile_list]) |
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where adjusted is True if the the quantile percentages differ from |
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those supplied, minIndex is the index into _list where the |
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minimum value used is located, maxIndex is the index into _list |
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where the maximum value used is located, and quantile_list is a |
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list of tuples of the form: (list_index, quantile_percentage) |
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Returns None, if no quantiles could be generated based on the |
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given range or input list. |
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_list -- a sort list of values |
_range -- a Range object |
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percents -- a sorted list of floats in the range 0.0-1.0 which |
Raises a Value Error if 'percents' has fewer than two items, or |
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represent the upper bound of each quantile |
does not cover the entire range. |
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""" |
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_range -- a Range object |
clazz = Classification() |
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""" |
quantiles = calculate_quantiles(_list, percents, _range) |
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adjusted = True |
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quantiles = [] |
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adjusted = False |
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if len(percents) != 0: |
if quantiles is not None: |
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# |
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# find what part of the _list range covers |
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# |
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minIndex = -1 |
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maxIndex = -2 |
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for i in xrange(0, len(_list), 1): |
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if operator.contains(_range, _list[i]): |
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minIndex = i |
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break |
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for i in xrange(len(_list)-1, -1, -1): |
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if operator.contains(_range, _list[i]): |
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maxIndex = i |
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break |
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numValues = maxIndex - minIndex + 1 |
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if numValues > 0: |
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# |
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# build a list of unique indices into list of where each |
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# quantile *should* be. set adjusted if the resulting |
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# indices are different |
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# |
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quantiles = {} |
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for p in percents: |
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index = min(minIndex + int(p*numValues)-1, maxIndex) |
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adjusted = adjusted \ |
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or quantiles.has_key(index) \ |
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or ((index - minIndex + 1) / float(numValues)) != p |
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quantiles[index] = 0 |
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quantiles = quantiles.keys() |
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quantiles.sort() |
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# |
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# the current quantile index must be strictly greater than |
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# the lowerBound |
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# |
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lowerBound = minIndex - 1 |
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for qindex in xrange(len(quantiles)): |
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if lowerBound >= maxIndex: |
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# discard higher quantiles |
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quantiles = quantiles[:qindex] |
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break |
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# lowerBound + 1 is always a valid index |
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# |
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# bump up the current quantile index to be a usable index |
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# if it currently falls below the lowerBound |
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# |
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if quantiles[qindex] <= lowerBound: |
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quantiles[qindex] = lowerBound + 1 |
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listIndex = quantiles[qindex] |
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value = _list[listIndex] |
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# |
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# look for similar values around the quantile index |
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# |
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lindex = listIndex - 1 |
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while lindex > lowerBound and value == _list[lindex]: |
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lindex -= 1 |
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lcount = (listIndex - 1) - lindex |
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rindex = listIndex + 1 |
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while rindex < maxIndex + 1 and value == _list[rindex]: |
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rindex += 1 |
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rcount = (listIndex + 1) - rindex |
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# |
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# adjust the current quantile index based on how many |
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# numbers in the _list are the same as the current value |
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# |
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newIndex = listIndex |
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if lcount == rcount: |
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if lcount != 0: |
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# |
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# there are an equal number of numbers to the left |
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# and right, try going to the left first unless |
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# doing so creates an empty quantile. |
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# |
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if lindex != lowerBound: |
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newIndex = lindex |
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else: |
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newIndex = rindex - 1 |
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elif lcount < rcount: |
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# there are fewer items to the left, so |
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# try going to the left first unless |
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# doing so creates an empty quantile. |
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if lindex != lowerBound: |
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newIndex = lindex |
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else: |
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newIndex = rindex - 1 |
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elif rcount < lcount: |
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# there are fewer items to the right, so go to the right |
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newIndex = rindex - 1 |
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adjusted = adjusted or newIndex != listIndex |
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| 175 |
quantiles[qindex] = newIndex |
numGroups = len(quantiles[3]) - 1 |
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lowerBound = quantiles[qindex] |
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# |
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# since quantiles is only set if the code is at least a little |
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# successful, an empty list will be generated in the case that |
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# we fail to get to the real body of the algorithm |
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# |
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if len(quantiles) == 0: |
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return None |
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else: |
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return (adjusted, minIndex, maxIndex, |
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[(q, (q - minIndex+1) / float(numValues)) \ |
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for q in quantiles]) |
|
| 176 |
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| 177 |
CLR = 0 |
if numGroups > 0: |
| 178 |
STEP = 1 |
adjusted = quantiles[0] |
|
class CustomRamp: |
|
| 179 |
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| 180 |
def __init__(self, prop1, prop2): |
start, min, endMax, right = _range.GetRange() |
|
self.prop1 = prop1 |
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self.prop2 = prop2 |
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| 181 |
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| 182 |
self.count = 0 |
class0 = quantiles[3][0] |
| 183 |
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min = _list[class0[0]] |
| 184 |
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oldp = class0[1] |
| 185 |
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i = 1 |
| 186 |
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end = "]" |
| 187 |
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| 188 |
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for (q, p) in quantiles[3][1:]: |
| 189 |
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prop = ramp.GetProperties(float(i) / numGroups) |
| 190 |
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|
| 191 |
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if i == numGroups: |
| 192 |
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max = endMax |
| 193 |
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end = right |
| 194 |
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else: |
| 195 |
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max = _list[q] |
| 196 |
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| 197 |
def __iter__(self): |
group = ClassGroupRange(Range((start, min, max, end)), prop) |
| 198 |
return self |
|
| 199 |
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group.SetLabel("%s%% - %s%%" % (round(oldp*100, 2), |
| 200 |
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round(p*100, 2))) |
| 201 |
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oldp = p |
| 202 |
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start = "]" |
| 203 |
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min = max |
| 204 |
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clazz.AppendGroup(group) |
| 205 |
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i += 1 |
| 206 |
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| 207 |
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return (adjusted, clazz, _list[class0[0]]) |
| 208 |
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| 209 |
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| 210 |
|
def calculate_quantiles(_list, percents, _range): |
| 211 |
|
"""Calculate quantiles for the given _list of percents from the |
| 212 |
|
sorted list of values that are in range. |
| 213 |
|
|
| 214 |
|
This may not actually generate len(percents) quantiles if |
| 215 |
|
many of the values that fall on quantile borders are the same. |
| 216 |
|
|
| 217 |
|
Returns a tuple of the form: |
| 218 |
|
(adjusted, minIndex, maxIndex, [quantile_list]) |
| 219 |
|
|
| 220 |
|
where adjusted is True if the the quantile percentages differ from |
| 221 |
|
those supplied, minIndex is the index into _list where the |
| 222 |
|
minimum value used is located, maxIndex is the index into _list |
| 223 |
|
where the maximum value used is located, and quantile_list is a |
| 224 |
|
list of tuples of the form: (list_index, quantile_percentage) |
| 225 |
|
|
| 226 |
|
Returns None, if no quantiles could be generated based on the |
| 227 |
|
given range or input list. |
| 228 |
|
|
| 229 |
|
_list -- a sort list of values |
| 230 |
|
|
| 231 |
|
percents -- a sorted list of floats in the range 0.0-1.0 which |
| 232 |
|
represent the upper bound of each quantile. the |
| 233 |
|
union of all percentiles should be the entire |
| 234 |
|
range from 0.0-1.0 |
| 235 |
|
|
| 236 |
|
_range -- a Range object |
| 237 |
|
|
| 238 |
|
Raises a Value Error if 'percents' has fewer than two items, or |
| 239 |
|
does not cover the entire range. |
| 240 |
|
""" |
| 241 |
|
|
| 242 |
|
quantiles = [] |
| 243 |
|
adjusted = False |
| 244 |
|
|
| 245 |
|
if len(percents) <= 1: |
| 246 |
|
raise ValueError("percents parameter must have more than one item") |
| 247 |
|
|
| 248 |
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if percents[-1] != 1.0: |
| 249 |
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raise ValueError("percents does not cover the entire range") |
| 250 |
|
|
| 251 |
|
# |
| 252 |
|
# find what part of the _list range covers |
| 253 |
|
# |
| 254 |
|
minIndex = -1 |
| 255 |
|
maxIndex = -2 |
| 256 |
|
for i in xrange(0, len(_list), 1): |
| 257 |
|
if operator.contains(_range, _list[i]): |
| 258 |
|
minIndex = i |
| 259 |
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break |
| 260 |
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|
| 261 |
|
for i in xrange(len(_list)-1, -1, -1): |
| 262 |
|
if operator.contains(_range, _list[i]): |
| 263 |
|
maxIndex = i |
| 264 |
|
break |
| 265 |
|
|
| 266 |
def GetRamp(self): |
numValues = maxIndex - minIndex + 1 |
|
return self |
|
| 267 |
|
|
| 268 |
def SetNumGroups(self, num): |
if numValues > 0: |
| 269 |
|
|
| 270 |
if num <= 0: |
# |
| 271 |
return False |
# build a list of unique indices into list of where each |
| 272 |
|
# quantile *should* be. set adjusted if the resulting |
| 273 |
|
# indices are different |
| 274 |
|
# |
| 275 |
|
quantiles = {} |
| 276 |
|
for p in percents: |
| 277 |
|
index = min(minIndex + int(p*numValues)-1, maxIndex) |
| 278 |
|
|
| 279 |
|
adjusted = adjusted \ |
| 280 |
|
or quantiles.has_key(index) \ |
| 281 |
|
or ((index - minIndex + 1) / float(numValues)) != p |
| 282 |
|
|
| 283 |
self.count = int(num) |
quantiles[index] = 0 |
|
num = float(num) |
|
| 284 |
|
|
| 285 |
prop1 = self.prop1 |
quantiles = quantiles.keys() |
| 286 |
prop2 = self.prop2 |
quantiles.sort() |
| 287 |
|
|
| 288 |
clr = prop1.GetLineColor() |
# |
| 289 |
lineColor2 = prop2.GetLineColor() |
# the current quantile index must be strictly greater than |
| 290 |
|
# the lowerBound |
| 291 |
self.noLine = clr is not Color.Transparent \ |
# |
| 292 |
and lineColor2 is not Color.Transparent |
lowerBound = minIndex - 1 |
| 293 |
|
|
| 294 |
|
for qindex in xrange(len(quantiles)): |
| 295 |
|
if lowerBound >= maxIndex: |
| 296 |
|
# discard higher quantiles |
| 297 |
|
quantiles = quantiles[:qindex] |
| 298 |
|
break |
| 299 |
|
|
| 300 |
self.lineInfo = self.__GetColorInfo(prop1.GetLineColor(), |
# lowerBound + 1 is always a valid index |
|
prop2.GetLineColor(), |
|
|
num) |
|
| 301 |
|
|
| 302 |
self.fillInfo = self.__GetColorInfo(prop1.GetFill(), |
# |
| 303 |
prop2.GetFill(), |
# bump up the current quantile index to be a usable index |
| 304 |
num) |
# if it currently falls below the lowerBound |
| 305 |
|
# |
| 306 |
|
if quantiles[qindex] <= lowerBound: |
| 307 |
|
quantiles[qindex] = lowerBound + 1 |
| 308 |
|
|
| 309 |
self.lineWidth = prop1.GetLineWidth() |
listIndex = quantiles[qindex] |
| 310 |
self.lineWidthStep = (prop2.GetLineWidth() - self.lineWidth) / num |
value = _list[listIndex] |
| 311 |
|
|
| 312 |
return True |
# |
| 313 |
|
# look for similar values around the quantile index |
| 314 |
|
# |
| 315 |
|
lindex = listIndex - 1 |
| 316 |
|
while lindex > lowerBound and value == _list[lindex]: |
| 317 |
|
lindex -= 1 |
| 318 |
|
lcount = (listIndex - 1) - lindex |
| 319 |
|
|
| 320 |
|
rindex = listIndex + 1 |
| 321 |
|
while rindex < maxIndex + 1 and value == _list[rindex]: |
| 322 |
|
rindex += 1 |
| 323 |
|
rcount = (listIndex + 1) - rindex |
| 324 |
|
|
| 325 |
def next(self): |
# |
| 326 |
if self.count == 0: |
# adjust the current quantile index based on how many |
| 327 |
raise StopIteration |
# numbers in the _list are the same as the current value |
| 328 |
|
# |
| 329 |
|
newIndex = listIndex |
| 330 |
|
if lcount == rcount: |
| 331 |
|
if lcount != 0: |
| 332 |
|
# |
| 333 |
|
# there are an equal number of numbers to the left |
| 334 |
|
# and right, try going to the left first unless |
| 335 |
|
# doing so creates an empty quantile. |
| 336 |
|
# |
| 337 |
|
if lindex != lowerBound: |
| 338 |
|
newIndex = lindex |
| 339 |
|
else: |
| 340 |
|
newIndex = rindex - 1 |
| 341 |
|
|
| 342 |
prop = ClassGroupProperties() |
elif lcount < rcount: |
| 343 |
|
# there are fewer items to the left, so |
| 344 |
|
# try going to the left first unless |
| 345 |
|
# doing so creates an empty quantile. |
| 346 |
|
if lindex != lowerBound: |
| 347 |
|
newIndex = lindex |
| 348 |
|
else: |
| 349 |
|
newIndex = rindex - 1 |
| 350 |
|
|
| 351 |
|
elif rcount < lcount: |
| 352 |
|
# there are fewer items to the right, so go to the right |
| 353 |
|
newIndex = rindex - 1 |
| 354 |
|
|
| 355 |
|
adjusted = adjusted or newIndex != listIndex |
| 356 |
|
|
| 357 |
|
quantiles[qindex] = newIndex |
| 358 |
|
lowerBound = quantiles[qindex] |
| 359 |
|
|
| 360 |
|
if len(quantiles) == 0: |
| 361 |
|
return None |
| 362 |
|
else: |
| 363 |
|
return (adjusted, minIndex, maxIndex, |
| 364 |
|
[(q, (q - minIndex+1) / float(numValues)) \ |
| 365 |
|
for q in quantiles]) |
| 366 |
|
|
| 367 |
if self.lineInfo is None: |
class CustomRamp: |
|
prop.SetLineColor(Color.Transparent) |
|
|
else: |
|
|
prop.SetLineColor(Color(self.lineInfo[CLR][0] / 255, |
|
|
self.lineInfo[CLR][1] / 255, |
|
|
self.lineInfo[CLR][2] / 255)) |
|
|
|
|
|
self.lineInfo[CLR][0] += self.lineInfo[STEP][0] |
|
|
self.lineInfo[CLR][1] += self.lineInfo[STEP][1] |
|
|
self.lineInfo[CLR][2] += self.lineInfo[STEP][2] |
|
| 368 |
|
|
| 369 |
if self.fillInfo is None: |
def __init__(self, prop1, prop2): |
| 370 |
prop.SetFill(Color.Transparent) |
self.prop1 = prop1 |
| 371 |
else: |
self.prop2 = prop2 |
|
prop.SetFill(Color(self.fillInfo[CLR][0] / 255, |
|
|
self.fillInfo[CLR][1] / 255, |
|
|
self.fillInfo[CLR][2] / 255)) |
|
| 372 |
|
|
| 373 |
self.fillInfo[CLR][0] += self.fillInfo[STEP][0] |
def GetRamp(self): |
| 374 |
self.fillInfo[CLR][1] += self.fillInfo[STEP][1] |
return self |
|
self.fillInfo[CLR][2] += self.fillInfo[STEP][2] |
|
| 375 |
|
|
| 376 |
|
def GetProperties(self, index): |
| 377 |
|
"""Return a ClassGroupProperties object whose properties |
| 378 |
|
represent a point at 'index' between prop1 and prop2 in |
| 379 |
|
the constructor. |
| 380 |
|
|
| 381 |
prop.SetLineWidth(int(self.lineWidth)) |
index -- a value such that 0 <= index <= 1 |
| 382 |
self.lineWidth += self.lineWidthStep |
""" |
| 383 |
|
|
| 384 |
self.count -= 1 |
if not (0 <= index <= 1): |
| 385 |
|
raise ValueError(_("invalid index")) |
| 386 |
|
|
| 387 |
return prop |
newProps = ClassGroupProperties() |
| 388 |
|
|
| 389 |
def __GetColorInfo(self, color1, color2, numGroups): |
color1 = self.prop1.GetLineColor() |
| 390 |
|
color2 = self.prop2.GetLineColor() |
| 391 |
|
|
| 392 |
if color1 is Color.Transparent and color2 is Color.Transparent: |
self.__SetProperty(color1, color2, index, newProps.SetLineColor) |
| 393 |
# |
self.__SetProperty(color1, color2, index, newProps.SetFill) |
| 394 |
# returning early |
|
| 395 |
# |
w = (self.prop2.GetLineWidth() - self.prop1.GetLineWidth()) \ |
| 396 |
return None |
* index \ |
| 397 |
elif color1 is not Color.Transparent and color2 is Color.Transparent: |
+ self.prop1.GetLineWidth() |
| 398 |
color = [color1.red * 255, |
|
| 399 |
color1.green * 255, |
newProps.SetLineWidth(int(round(w))) |
| 400 |
color1.blue * 255] |
|
| 401 |
step = (0, 0, 0) |
return newProps |
| 402 |
elif color1 is Color.Transparent and color2 is not Color.Transparent: |
|
| 403 |
color = [color2.red * 255, |
def __SetProperty(self, color1, color2, index, setf): |
| 404 |
color2.green * 255, |
|
| 405 |
color2.blue * 255] |
if color1 is Transparent and color2 is Transparent: |
| 406 |
step = (0, 0, 0) |
setf(Transparent) |
| 407 |
|
elif color1 is Transparent: |
| 408 |
|
setf(Color( |
| 409 |
|
color2.red * index, |
| 410 |
|
color2.green * index, |
| 411 |
|
color2.blue * index)) |
| 412 |
|
elif color2 is Transparent: |
| 413 |
|
setf(Color( |
| 414 |
|
color1.red * index, |
| 415 |
|
color1.green * index, |
| 416 |
|
color1.blue * index)) |
| 417 |
else: |
else: |
| 418 |
color = [color1.red * 255, |
setf(Color( |
| 419 |
color1.green * 255, |
(color2.red - color1.red) * index + color1.red, |
| 420 |
color1.blue * 255] |
(color2.green - color1.green) * index + color1.green, |
| 421 |
step = ((color2.red * 255 - color1.red * 255) / numGroups, |
(color2.blue - color1.blue) * index + color1.blue)) |
|
(color2.green * 255 - color1.green * 255) / numGroups, |
|
|
(color2.blue * 255 - color1.blue * 255) / numGroups) |
|
|
|
|
|
|
|
|
return (color, step) |
|
| 422 |
|
|
| 423 |
class MonochromaticRamp(CustomRamp): |
class MonochromaticRamp(CustomRamp): |
| 424 |
def __init__(self, start, end): |
def __init__(self, start, end): |
| 432 |
|
|
| 433 |
CustomRamp.__init__(self, sp, ep) |
CustomRamp.__init__(self, sp, ep) |
| 434 |
|
|
| 435 |
class GreyRamp(MonochromaticRamp): |
GreyRamp = MonochromaticRamp(Color(1, 1, 1), Color(0, 0, 0)) |
| 436 |
def __init__(self): |
RedRamp = MonochromaticRamp(Color(1, 1, 1), Color(.8, 0, 0)) |
| 437 |
MonochromaticRamp.__init__(self, Color(1, 1, 1), Color(0, 0, 0)) |
GreenRamp = MonochromaticRamp(Color(1, 1, 1), Color(0, .8, 0)) |
| 438 |
|
BlueRamp = MonochromaticRamp(Color(1, 1, 1), Color(0, 0, .8)) |
| 439 |
class RedRamp(MonochromaticRamp): |
GreenToRedRamp = MonochromaticRamp(Color(1, .8, 1), Color(1, 0, 0)) |
|
def __init__(self): |
|
|
MonochromaticRamp.__init__(self, Color(1, 1, 1), Color(.8, 0, 0)) |
|
|
|
|
|
class GreenRamp(MonochromaticRamp): |
|
|
def __init__(self): |
|
|
MonochromaticRamp.__init__(self, Color(1, 1, 1), Color(0, .8, 0)) |
|
|
|
|
|
class BlueRamp(MonochromaticRamp): |
|
|
def __init__(self): |
|
|
MonochromaticRamp.__init__(self, Color(1, 1, 1), Color(0, 0, .8)) |
|
|
|
|
|
class GreenToRedRamp(MonochromaticRamp): |
|
|
def __init__(self): |
|
|
MonochromaticRamp.__init__(self, Color(0, .8, 0), Color(1, 0, 0)) |
|
| 440 |
|
|
| 441 |
class HotToColdRamp: |
class HotToColdRamp: |
| 442 |
|
|
|
def __iter__(self): |
|
|
return self |
|
|
|
|
| 443 |
def GetRamp(self): |
def GetRamp(self): |
| 444 |
return self |
return self |
| 445 |
|
|
| 446 |
def SetNumGroups(self, num): |
def GetProperties(self, index): |
| 447 |
if num < 0: |
"""Return a ClassGroupProperties object whose properties |
| 448 |
return False |
represent a point at 'index' between "hot" and "cold". |
| 449 |
|
|
| 450 |
self.num = float(num) |
index -- a value such that 0 <= index <= 1 |
| 451 |
self.index = 0 |
""" |
|
|
|
|
return True |
|
|
|
|
|
def next(self): |
|
|
if self.index == self.num: |
|
|
raise StopIteration |
|
| 452 |
|
|
| 453 |
clr = [1.0, 1.0, 1.0] |
clr = [1.0, 1.0, 1.0] |
| 454 |
|
|
| 455 |
if self.index < (.25 * self.num): |
if index < .25: |
| 456 |
clr[0] = 0 |
clr[0] = 0 |
| 457 |
clr[1] = 4 * self.index / self.num |
clr[1] = 4 * index |
| 458 |
elif self.index < (.5 * self.num): |
elif index < .5: |
| 459 |
clr[0] = 0 |
clr[0] = 0 |
| 460 |
clr[2] = 1 + 4 * (.25 * self.num - self.index) / self.num |
clr[2] = 1 + 4 * (.25 - index) |
| 461 |
elif self.index < (.75 * self.num): |
elif index < .75: |
| 462 |
clr[0] = 4 * (self.index - .5 * self.num) / self.num |
clr[0] = 4 * (index - .5) |
| 463 |
clr[2] = 0 |
clr[2] = 0 |
| 464 |
else: |
else: |
| 465 |
clr[1] = 1 + 4 * (.75 * self.num - self.index) / self.num |
clr[1] = 1 + 4 * (.75 - index) |
| 466 |
clr[2] = 0 |
clr[2] = 0 |
| 467 |
|
|
|
self.index += 1 |
|
|
|
|
| 468 |
prop = ClassGroupProperties() |
prop = ClassGroupProperties() |
| 469 |
prop.SetLineColor(Color(clr[0], clr[1], clr[2])) |
prop.SetLineColor(Color(clr[0], clr[1], clr[2])) |
| 470 |
prop.SetFill(Color(clr[0], clr[1], clr[2])) |
prop.SetFill(Color(clr[0], clr[1], clr[2])) |
| 471 |
|
|
| 472 |
return prop |
return prop |
| 473 |
|
|
|
#class Colors16Ramp: |
|
|
# |
|
|
#def __iter__(self): |
|
|
#return self |
|
|
# |
|
|
#def GetRamp(self): |
|
|
#return self |
|
|
# |
|
|
#def SetNumGroups(self, num): |
|
|
#if num < 0: |
|
|
#return False |
|
|
# |
|
|
#self.index = 0 |
|
|
# |
|
|
#return True |
|
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| 
Revision Log
| 
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