| 5 |
# This program is free software under the GPL (>=v2) |
# This program is free software under the GPL (>=v2) |
| 6 |
# Read the file COPYING coming with Thuban for details. |
# Read the file COPYING coming with Thuban for details. |
| 7 |
|
|
| 8 |
|
""" |
| 9 |
|
Functions to generate Classifications |
| 10 |
|
""" |
| 11 |
|
|
| 12 |
|
__version__ = "$Revision$" |
| 13 |
|
# $Source$ |
| 14 |
|
# $Id$ |
| 15 |
|
|
| 16 |
import operator |
import operator |
| 17 |
|
|
| 18 |
from color import Color |
from color import Color, Transparent |
| 19 |
from range import Range |
from range import Range |
| 20 |
from classification import Classification, ClassGroupSingleton, \ |
from classification import Classification, ClassGroupSingleton, \ |
| 21 |
ClassGroupRange, ClassGroupProperties |
ClassGroupRange, ClassGroupProperties |
| 22 |
|
|
| 23 |
class ClassGenerator: |
def generate_singletons(_list, ramp): |
| 24 |
|
"""Generate a new classification consisting solely of singletons. |
|
def GenSingletonsFromList(self, _list, numGroups, ramp): |
|
|
"""Generate a new classification consisting solely of singletons. |
|
| 25 |
|
|
| 26 |
The resulting classification will consist of at most 'numGroups' |
The resulting classification will consist of one group for each |
| 27 |
groups whose group properties ramp between 'prop1' and 'prop2'. There |
item in _list whose properties ramp between 'prop1' and 'prop2'. |
|
could be fewer groups if '_list' contains fewer that 'numGroups' items. |
|
| 28 |
|
|
| 29 |
_list -- any object that implements the iterator interface |
_list -- a list of values for each singleton |
| 30 |
|
|
| 31 |
numGroups -- how many groups to generate. This can not be |
ramp -- an object which implements the CustomRamp interface |
| 32 |
determined while the classification is being |
""" |
|
generated because the stepping values must |
|
|
be precalculated to ramp between prop1 and prop2. |
|
| 33 |
|
|
| 34 |
ramp -- an object which implements the CustomRamp interface |
clazz = Classification() |
|
""" |
|
| 35 |
|
|
| 36 |
clazz = Classification() |
i = 0 |
| 37 |
if numGroups == 0: return clazz |
maxValue = float(len(_list) - 1) |
| 38 |
|
if maxValue < 1: maxValue = 1 |
| 39 |
|
|
| 40 |
ramp.SetNumGroups(numGroups) |
for value in _list: |
| 41 |
|
prop = ramp.GetProperties(i / maxValue) |
| 42 |
|
clazz.AppendGroup(ClassGroupSingleton(value, prop)) |
| 43 |
|
i += 1 |
| 44 |
|
|
| 45 |
for value, prop in zip(_list, ramp): |
return clazz |
|
clazz.AppendGroup(ClassGroupSingleton(value, prop)) |
|
| 46 |
|
|
| 47 |
return clazz |
def generate_uniform_distribution(min, max, numGroups, ramp, intStep = False): |
| 48 |
|
"""Generate a classification with numGroups range groups |
| 49 |
|
each with the same interval. |
| 50 |
|
|
| 51 |
def GenSingletons(self, min, max, numGroups, ramp): |
intStep -- force the calculated stepping to an integer. |
| 52 |
|
Useful if the values are integers but the |
| 53 |
|
number of groups specified doesn't evenly |
| 54 |
|
divide (max - min). |
| 55 |
|
""" |
| 56 |
|
|
| 57 |
clazz = Classification() |
clazz = Classification() |
| 58 |
|
|
| 59 |
#step = int((max - min) / float(numGroups)) |
cur_min = min |
| 60 |
|
|
| 61 |
if numGroups > 0: |
end = "[" |
| 62 |
|
maxValue = float(numGroups - 1) |
| 63 |
|
if maxValue < 1: maxValue = 1 |
| 64 |
|
|
| 65 |
step = int((max - min + 1) / float(numGroups)) |
for i in range(1, numGroups + 1): |
|
cur_value = min |
|
|
|
|
|
ramp.SetNumGroups(numGroups) |
|
|
|
|
|
for prop in ramp: |
|
|
clazz.AppendGroup(ClassGroupSingleton(cur_value), prop) |
|
|
cur_value += step |
|
|
|
|
|
return clazz |
|
|
|
|
|
def GenUniformDistribution(self, min, max, numGroups, |
|
|
ramp, intStep = False): |
|
|
"""Generate a classification with numGroups range groups |
|
|
each with the same interval. |
|
|
|
|
|
intStep -- force the calculated stepping to an integer. |
|
|
Useful if the values are integers but the |
|
|
number of groups specified doesn't evenly |
|
|
divide (max - min). |
|
|
""" |
|
| 66 |
|
|
| 67 |
clazz = Classification() |
prop = ramp.GetProperties(float(i-1) / maxValue) |
|
if numGroups == 0: return clazz |
|
|
|
|
|
ramp.SetNumGroups(numGroups) |
|
|
|
|
|
step = (max - min) / float(numGroups) |
|
| 68 |
|
|
| 69 |
if intStep: |
if intStep: |
| 70 |
step = int(step) |
cur_max = min + int(round((i * (max - min + 1)) / float(numGroups))) |
| 71 |
|
else: |
| 72 |
|
cur_max = min + (i * (max - min)) / float(numGroups) |
| 73 |
|
|
| 74 |
cur_min = min |
if i == numGroups: |
| 75 |
cur_max = cur_min + step |
cur_max = max |
| 76 |
|
end = "]" |
| 77 |
|
|
| 78 |
i = 0 |
if cur_min == cur_max: |
| 79 |
end = "[" |
_range = Range(("[", cur_min, cur_max, "]")) |
| 80 |
for prop in ramp: |
else: |
| 81 |
|
_range = Range(("[", cur_min, cur_max, end)) |
| 82 |
|
|
| 83 |
if i == (numGroups - 1): |
clazz.AppendGroup(ClassGroupRange(_range, prop)) |
|
cur_max = max |
|
|
end = "]" |
|
| 84 |
|
|
| 85 |
|
cur_min = cur_max |
| 86 |
|
|
| 87 |
# this check guards against rounding issues |
return clazz |
|
if cur_min != cur_max: |
|
|
range = Range("[" + str(float(cur_min)) + ";" + |
|
|
str(float(cur_max)) + end) |
|
|
clazz.AppendGroup(ClassGroupRange(range, None, prop)) |
|
| 88 |
|
|
| 89 |
cur_min = cur_max |
def generate_quantiles(_list, percents, ramp, _range): |
| 90 |
cur_max += step |
"""Generates a Classification which has groups of ranges that |
| 91 |
i += 1 |
represent quantiles of _list at the percentages given in percents. |
| 92 |
|
Only the values that fall within _range are considered. |
| 93 |
|
|
| 94 |
return clazz |
Returns a tuple (adjusted, Classification) where adjusted is |
| 95 |
|
True if the Classification does not exactly represent the given |
| 96 |
|
range, or if the Classification is empty. |
| 97 |
|
|
| 98 |
|
_list -- a sort list of values |
| 99 |
|
|
| 100 |
def GenQuantiles(self, _list, percents, ramp, _range): |
percents -- a sorted list of floats in the range 0.0-1.0 which |
| 101 |
"""Generates a Classification which has groups of ranges that |
represent the upper bound of each quantile. the |
| 102 |
represent quantiles of _list at the percentages given in percents. |
union of all percentiles should be the entire |
| 103 |
Only the values that fall within _range are considered. |
range from 0.0-1.0 |
| 104 |
|
|
| 105 |
Returns a tuple (adjusted, Classification) where adjusted is |
ramp -- an object which implements the CustomRamp interface |
|
True if the Classification does not exactly represent the given |
|
|
range, or if the Classification is empty. |
|
| 106 |
|
|
| 107 |
_list -- a sort list of values |
_range -- a Range object |
| 108 |
|
|
| 109 |
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 |
| 110 |
represent the upper bound of each quantile |
does not cover the entire range. |
| 111 |
|
""" |
| 112 |
|
|
| 113 |
ramp -- an object which implements the CustomRamp interface |
clazz = Classification() |
| 114 |
|
quantiles = calculate_quantiles(_list, percents, _range) |
| 115 |
|
adjusted = True |
| 116 |
|
|
| 117 |
_range -- a Range object |
if quantiles is not None: |
|
""" |
|
| 118 |
|
|
| 119 |
clazz = Classification() |
numGroups = len(quantiles[3]) |
|
quantiles = self.CalculateQuantiles(_list, percents, _range) |
|
|
adjusted = True |
|
| 120 |
|
|
| 121 |
if quantiles is not None: |
if numGroups != 0: |
| 122 |
|
|
| 123 |
numGroups = len(quantiles[3]) |
adjusted = quantiles[0] |
| 124 |
|
|
| 125 |
if numGroups != 0: |
start, min, endMax, right = _range.GetRange() |
| 126 |
|
|
| 127 |
adjusted = quantiles[0] |
oldp = 0 |
| 128 |
|
i = 1 |
| 129 |
|
end = "]" |
| 130 |
|
|
| 131 |
ramp.SetNumGroups(numGroups) |
maxValue = float(numGroups - 1) |
| 132 |
|
if maxValue < 1: maxValue = 1 |
| 133 |
|
for (q, p) in quantiles[3]: |
| 134 |
|
|
| 135 |
start, min, endMax, right = _range.GetRange() |
prop = ramp.GetProperties(float(i-1) / maxValue) |
| 136 |
|
|
| 137 |
if str(min) == '-inf': |
if i == numGroups: |
| 138 |
min = "-oo" |
max = endMax |
| 139 |
elif str(min) == 'inf': |
end = right |
| 140 |
min = "oo" |
else: |
| 141 |
|
max = _list[q] |
| 142 |
|
|
| 143 |
if str(endMax) == '-inf': |
group = ClassGroupRange(Range((start, min, max, end)), prop) |
| 144 |
endMax = "-oo" |
|
| 145 |
elif str(endMax) == 'inf': |
group.SetLabel("%s%% - %s%%" % (round(oldp*100, 2), |
| 146 |
endMax = "oo" |
round(p*100, 2))) |
| 147 |
|
oldp = p |
| 148 |
|
start = "]" |
| 149 |
|
min = max |
| 150 |
|
clazz.AppendGroup(group) |
| 151 |
|
i += 1 |
| 152 |
|
|
| 153 |
oldp = 0 |
return (adjusted, clazz) |
|
i = 1 |
|
|
end = "]" |
|
| 154 |
|
|
| 155 |
for (q, p), prop in zip(quantiles[3], ramp): |
def GenQuantiles0(_list, percents, ramp, _range): |
| 156 |
if i == numGroups: |
"""Same as GenQuantiles, but the first class won't be added to |
| 157 |
max = endMax |
the classification. |
|
end = right |
|
|
else: |
|
|
max = _list[q] |
|
| 158 |
|
|
| 159 |
group = ClassGroupRange(Range(start + str(min) + ";" + |
Returns a tuple (adjusted, Classification, upper_class0) where |
| 160 |
str(max) + end), |
upper_class0 is the highest value inside the first class. |
|
None, prop) |
|
|
|
|
|
group.SetLabel("%s%% - %s%%" % (round(oldp*100, 2), |
|
|
round(p*100, 2))) |
|
|
oldp = p |
|
|
start = "]" |
|
|
min = max |
|
|
clazz.AppendGroup(group) |
|
|
i += 1 |
|
|
|
|
|
return (adjusted, clazz) |
|
|
|
|
|
def CalculateQuantiles(self, _list, percents, _range): |
|
|
"""Calculate quantiles for the given _list of percents from the |
|
|
sorted list of values that are in range. |
|
|
|
|
|
This may not actually generate len(percents) quantiles if |
|
|
many of the values that fall on quantile borders are the same. |
|
|
|
|
|
Returns a tuple of the form: |
|
|
(adjusted, minIndex, maxIndex, [quantile_list]) |
|
|
|
|
|
where adjusted is True if the the quantile percentages differ from |
|
|
those supplied, minIndex is the index into _list where the |
|
|
minimum value used is located, maxIndex is the index into _list |
|
|
where the maximum value used is located, and quantile_list is a |
|
|
list of tuples of the form: (list_index, quantile_percentage) |
|
|
|
|
|
Returns None, if no quantiles could be generated based on the |
|
|
given range or input list. |
|
| 161 |
|
|
| 162 |
_list -- a sort list of values |
_list -- a sort list of values |
| 163 |
|
|
| 164 |
percents -- a sorted list of floats in the range 0.0-1.0 which |
percents -- a sorted list of floats in the range 0.0-1.0 which |
| 165 |
represent the upper bound of each quantile |
represent the upper bound of each quantile. the |
| 166 |
|
union of all percentiles should be the entire |
| 167 |
|
range from 0.0-1.0 |
| 168 |
|
|
| 169 |
_range -- a Range object |
ramp -- an object which implements the CustomRamp interface |
|
""" |
|
|
|
|
|
quantiles = [] |
|
|
adjusted = False |
|
| 170 |
|
|
| 171 |
if len(percents) != 0: |
_range -- a Range object |
|
|
|
|
# |
|
|
# find what part of the _list range covers |
|
|
# |
|
|
minIndex = -1 |
|
|
maxIndex = -2 |
|
|
for i in xrange(0, len(_list), 1): |
|
|
if operator.contains(_range, _list[i]): |
|
|
minIndex = i |
|
|
break |
|
|
|
|
|
for i in xrange(len(_list)-1, -1, -1): |
|
|
if operator.contains(_range, _list[i]): |
|
|
maxIndex = i |
|
|
break |
|
|
|
|
|
numValues = maxIndex - minIndex + 1 |
|
|
|
|
|
if numValues > 0: |
|
|
|
|
|
# |
|
|
# build a list of unique indices into list of where each |
|
|
# quantile *should* be. set adjusted if the resulting |
|
|
# indices are different |
|
|
# |
|
|
quantiles = {} |
|
|
for p in percents: |
|
|
index = min(minIndex + int(p*numValues)-1, maxIndex) |
|
|
|
|
|
adjusted = adjusted \ |
|
|
or quantiles.has_key(index) \ |
|
|
or ((index - minIndex + 1) / float(numValues)) != p |
|
|
|
|
|
quantiles[index] = 0 |
|
|
|
|
|
quantiles = quantiles.keys() |
|
|
quantiles.sort() |
|
|
|
|
|
# |
|
|
# the current quantile index must be strictly greater than |
|
|
# the lowerBound |
|
|
# |
|
|
lowerBound = minIndex - 1 |
|
|
|
|
|
for qindex in xrange(len(quantiles)): |
|
|
if lowerBound >= maxIndex: |
|
|
# discard higher quantiles |
|
|
quantiles = quantiles[:qindex] |
|
|
break |
|
|
|
|
|
# lowerBound + 1 is always a valid index |
|
|
|
|
|
# |
|
|
# bump up the current quantile index to be a usable index |
|
|
# if it currently falls below the lowerBound |
|
|
# |
|
|
if quantiles[qindex] <= lowerBound: |
|
|
quantiles[qindex] = lowerBound + 1 |
|
|
|
|
|
listIndex = quantiles[qindex] |
|
|
value = _list[listIndex] |
|
|
|
|
|
# |
|
|
# look for similar values around the quantile index |
|
|
# |
|
|
lindex = listIndex - 1 |
|
|
while lindex > lowerBound and value == _list[lindex]: |
|
|
lindex -= 1 |
|
|
lcount = (listIndex - 1) - lindex |
|
|
|
|
|
rindex = listIndex + 1 |
|
|
while rindex < maxIndex + 1 and value == _list[rindex]: |
|
|
rindex += 1 |
|
|
rcount = (listIndex + 1) - rindex |
|
|
|
|
|
# |
|
|
# adjust the current quantile index based on how many |
|
|
# numbers in the _list are the same as the current value |
|
|
# |
|
|
newIndex = listIndex |
|
|
if lcount == rcount: |
|
|
if lcount != 0: |
|
|
# |
|
|
# there are an equal number of numbers to the left |
|
|
# and right, try going to the left first unless |
|
|
# doing so creates an empty quantile. |
|
|
# |
|
|
if lindex != lowerBound: |
|
|
newIndex = lindex |
|
|
else: |
|
|
newIndex = rindex - 1 |
|
|
|
|
|
elif lcount < rcount: |
|
|
# there are fewer items to the left, so |
|
|
# try going to the left first unless |
|
|
# doing so creates an empty quantile. |
|
|
if lindex != lowerBound: |
|
|
newIndex = lindex |
|
|
else: |
|
|
newIndex = rindex - 1 |
|
|
|
|
|
elif rcount < lcount: |
|
|
# there are fewer items to the right, so go to the right |
|
|
newIndex = rindex - 1 |
|
|
|
|
|
adjusted = adjusted or newIndex != listIndex |
|
| 172 |
|
|
| 173 |
quantiles[qindex] = newIndex |
Raises a Value Error if 'percents' has fewer than two items, or |
| 174 |
lowerBound = quantiles[qindex] |
does not cover the entire range. |
| 175 |
|
""" |
|
# |
|
|
# since quantiles is only set if the code is at least a little |
|
|
# successful, an empty list will be generated in the case that |
|
|
# we fail to get to the real body of the algorithm |
|
|
# |
|
|
if len(quantiles) == 0: |
|
|
return None |
|
|
else: |
|
|
return (adjusted, minIndex, maxIndex, |
|
|
[(q, (q - minIndex+1) / float(numValues)) \ |
|
|
for q in quantiles]) |
|
| 176 |
|
|
| 177 |
CLR = 0 |
clazz = Classification() |
| 178 |
STEP = 1 |
quantiles = calculate_quantiles(_list, percents, _range) |
| 179 |
class CustomRamp: |
adjusted = True |
| 180 |
|
|
| 181 |
def __init__(self, prop1, prop2): |
if quantiles is not None: |
|
self.prop1 = prop1 |
|
|
self.prop2 = prop2 |
|
| 182 |
|
|
| 183 |
self.count = 0 |
numGroups = len(quantiles[3]) - 1 |
| 184 |
|
|
| 185 |
def __iter__(self): |
if numGroups > 0: |
| 186 |
return self |
adjusted = quantiles[0] |
| 187 |
|
|
| 188 |
def GetRamp(self): |
start, min, endMax, right = _range.GetRange() |
|
return self |
|
| 189 |
|
|
| 190 |
def SetNumGroups(self, num): |
class0 = quantiles[3][0] |
| 191 |
|
min = _list[class0[0]] |
| 192 |
|
oldp = class0[1] |
| 193 |
|
i = 1 |
| 194 |
|
end = "]" |
| 195 |
|
|
| 196 |
|
maxValue = float(numGroups - 1) |
| 197 |
|
if maxValue < 1: maxValue = 1 |
| 198 |
|
for (q, p) in quantiles[3][1:]: |
| 199 |
|
prop = ramp.GetProperties(float(i-1) / maxValue) |
| 200 |
|
|
| 201 |
|
if i == numGroups: |
| 202 |
|
max = endMax |
| 203 |
|
end = right |
| 204 |
|
else: |
| 205 |
|
max = _list[q] |
| 206 |
|
|
| 207 |
|
group = ClassGroupRange(Range((start, min, max, end)), prop) |
| 208 |
|
|
| 209 |
|
group.SetLabel("%s%% - %s%%" % (round(oldp*100, 2), |
| 210 |
|
round(p*100, 2))) |
| 211 |
|
oldp = p |
| 212 |
|
start = "]" |
| 213 |
|
min = max |
| 214 |
|
clazz.AppendGroup(group) |
| 215 |
|
i += 1 |
| 216 |
|
|
| 217 |
|
return (adjusted, clazz, _list[class0[0]]) |
| 218 |
|
|
| 219 |
|
|
| 220 |
|
def calculate_quantiles(_list, percents, _range): |
| 221 |
|
"""Calculate quantiles for the given _list of percents from the |
| 222 |
|
sorted list of values that are in range. |
| 223 |
|
|
| 224 |
|
This may not actually generate len(percents) quantiles if |
| 225 |
|
many of the values that fall on quantile borders are the same. |
| 226 |
|
|
| 227 |
|
Returns a tuple of the form: |
| 228 |
|
(adjusted, minIndex, maxIndex, [quantile_list]) |
| 229 |
|
|
| 230 |
|
where adjusted is True if the the quantile percentages differ from |
| 231 |
|
those supplied, minIndex is the index into _list where the |
| 232 |
|
minimum value used is located, maxIndex is the index into _list |
| 233 |
|
where the maximum value used is located, and quantile_list is a |
| 234 |
|
list of tuples of the form: (list_index, quantile_percentage) |
| 235 |
|
|
| 236 |
|
Returns None, if no quantiles could be generated based on the |
| 237 |
|
given range or input list. |
| 238 |
|
|
| 239 |
|
_list -- a sort list of values |
| 240 |
|
|
| 241 |
|
percents -- a sorted list of floats in the range 0.0-1.0 which |
| 242 |
|
represent the upper bound of each quantile. the |
| 243 |
|
union of all percentiles should be the entire |
| 244 |
|
range from 0.0-1.0 |
| 245 |
|
|
| 246 |
|
_range -- a Range object |
| 247 |
|
|
| 248 |
|
Raises a Value Error if 'percents' has fewer than two items, or |
| 249 |
|
does not cover the entire range. |
| 250 |
|
""" |
| 251 |
|
|
| 252 |
|
quantiles = [] |
| 253 |
|
adjusted = False |
| 254 |
|
|
| 255 |
|
if len(percents) <= 1: |
| 256 |
|
raise ValueError("percents parameter must have more than one item") |
| 257 |
|
|
| 258 |
|
if percents[-1] != 1.0: |
| 259 |
|
raise ValueError("percents does not cover the entire range") |
| 260 |
|
|
| 261 |
|
# |
| 262 |
|
# find what part of the _list range covers |
| 263 |
|
# |
| 264 |
|
minIndex = -1 |
| 265 |
|
maxIndex = -2 |
| 266 |
|
for i in xrange(0, len(_list), 1): |
| 267 |
|
if operator.contains(_range, _list[i]): |
| 268 |
|
minIndex = i |
| 269 |
|
break |
| 270 |
|
|
| 271 |
|
for i in xrange(len(_list)-1, -1, -1): |
| 272 |
|
if operator.contains(_range, _list[i]): |
| 273 |
|
maxIndex = i |
| 274 |
|
break |
| 275 |
|
|
| 276 |
if num <= 0: |
numValues = maxIndex - minIndex + 1 |
|
return False |
|
| 277 |
|
|
| 278 |
self.count = int(num) |
if numValues > 0: |
|
num = float(num) |
|
| 279 |
|
|
| 280 |
prop1 = self.prop1 |
# |
| 281 |
prop2 = self.prop2 |
# build a list of unique indices into list of where each |
| 282 |
|
# quantile *should* be. set adjusted if the resulting |
| 283 |
|
# indices are different |
| 284 |
|
# |
| 285 |
|
quantiles = {} |
| 286 |
|
for p in percents: |
| 287 |
|
index = min(minIndex + int(p*numValues)-1, maxIndex) |
| 288 |
|
|
| 289 |
|
adjusted = adjusted \ |
| 290 |
|
or quantiles.has_key(index) \ |
| 291 |
|
or ((index - minIndex + 1) / float(numValues)) != p |
| 292 |
|
|
| 293 |
clr = prop1.GetLineColor() |
quantiles[index] = 0 |
|
lineColor2 = prop2.GetLineColor() |
|
|
|
|
|
self.noLine = clr is not Color.Transparent \ |
|
|
and lineColor2 is not Color.Transparent |
|
| 294 |
|
|
| 295 |
|
quantiles = quantiles.keys() |
| 296 |
|
quantiles.sort() |
| 297 |
|
|
| 298 |
self.lineInfo = self.__GetColorInfo(prop1.GetLineColor(), |
# |
| 299 |
prop2.GetLineColor(), |
# the current quantile index must be strictly greater than |
| 300 |
num) |
# the lowerBound |
| 301 |
|
# |
| 302 |
|
lowerBound = minIndex - 1 |
| 303 |
|
|
| 304 |
self.fillInfo = self.__GetColorInfo(prop1.GetFill(), |
for qindex in xrange(len(quantiles)): |
| 305 |
prop2.GetFill(), |
if lowerBound >= maxIndex: |
| 306 |
num) |
# discard higher quantiles |
| 307 |
|
quantiles = quantiles[:qindex] |
| 308 |
|
break |
| 309 |
|
|
| 310 |
self.lineWidth = prop1.GetLineWidth() |
# lowerBound + 1 is always a valid index |
|
self.lineWidthStep = (prop2.GetLineWidth() - self.lineWidth) / num |
|
| 311 |
|
|
| 312 |
return True |
# |
| 313 |
|
# bump up the current quantile index to be a usable index |
| 314 |
|
# if it currently falls below the lowerBound |
| 315 |
|
# |
| 316 |
|
if quantiles[qindex] <= lowerBound: |
| 317 |
|
quantiles[qindex] = lowerBound + 1 |
| 318 |
|
|
| 319 |
def next(self): |
listIndex = quantiles[qindex] |
| 320 |
if self.count == 0: |
value = _list[listIndex] |
|
raise StopIteration |
|
| 321 |
|
|
| 322 |
prop = ClassGroupProperties() |
# |
| 323 |
|
# look for similar values around the quantile index |
| 324 |
|
# |
| 325 |
|
lindex = listIndex - 1 |
| 326 |
|
while lindex > lowerBound and value == _list[lindex]: |
| 327 |
|
lindex -= 1 |
| 328 |
|
lcount = (listIndex - 1) - lindex |
| 329 |
|
|
| 330 |
|
rindex = listIndex + 1 |
| 331 |
|
while rindex < maxIndex + 1 and value == _list[rindex]: |
| 332 |
|
rindex += 1 |
| 333 |
|
rcount = (listIndex + 1) - rindex |
| 334 |
|
|
| 335 |
if self.lineInfo is None: |
# |
| 336 |
prop.SetLineColor(Color.Transparent) |
# adjust the current quantile index based on how many |
| 337 |
else: |
# numbers in the _list are the same as the current value |
| 338 |
prop.SetLineColor(Color(self.lineInfo[CLR][0] / 255, |
# |
| 339 |
self.lineInfo[CLR][1] / 255, |
newIndex = listIndex |
| 340 |
self.lineInfo[CLR][2] / 255)) |
if lcount == rcount: |
| 341 |
|
if lcount != 0: |
| 342 |
self.lineInfo[CLR][0] += self.lineInfo[STEP][0] |
# |
| 343 |
self.lineInfo[CLR][1] += self.lineInfo[STEP][1] |
# there are an equal number of numbers to the left |
| 344 |
self.lineInfo[CLR][2] += self.lineInfo[STEP][2] |
# and right, try going to the left first unless |
| 345 |
|
# doing so creates an empty quantile. |
| 346 |
|
# |
| 347 |
|
if lindex != lowerBound: |
| 348 |
|
newIndex = lindex |
| 349 |
|
else: |
| 350 |
|
newIndex = rindex - 1 |
| 351 |
|
|
| 352 |
if self.fillInfo is None: |
elif lcount < rcount: |
| 353 |
prop.SetFill(Color.Transparent) |
# there are fewer items to the left, so |
| 354 |
else: |
# try going to the left first unless |
| 355 |
prop.SetFill(Color(self.fillInfo[CLR][0] / 255, |
# doing so creates an empty quantile. |
| 356 |
self.fillInfo[CLR][1] / 255, |
if lindex != lowerBound: |
| 357 |
self.fillInfo[CLR][2] / 255)) |
newIndex = lindex |
| 358 |
|
else: |
| 359 |
|
newIndex = rindex - 1 |
| 360 |
|
|
| 361 |
|
elif rcount < lcount: |
| 362 |
|
# there are fewer items to the right, so go to the right |
| 363 |
|
newIndex = rindex - 1 |
| 364 |
|
|
| 365 |
|
adjusted = adjusted or newIndex != listIndex |
| 366 |
|
|
| 367 |
|
quantiles[qindex] = newIndex |
| 368 |
|
lowerBound = quantiles[qindex] |
| 369 |
|
|
| 370 |
|
if len(quantiles) == 0: |
| 371 |
|
return None |
| 372 |
|
else: |
| 373 |
|
return (adjusted, minIndex, maxIndex, |
| 374 |
|
[(q, (q - minIndex+1) / float(numValues)) \ |
| 375 |
|
for q in quantiles]) |
| 376 |
|
|
| 377 |
self.fillInfo[CLR][0] += self.fillInfo[STEP][0] |
class CustomRamp: |
|
self.fillInfo[CLR][1] += self.fillInfo[STEP][1] |
|
|
self.fillInfo[CLR][2] += self.fillInfo[STEP][2] |
|
| 378 |
|
|
| 379 |
|
def __init__(self, prop1, prop2): |
| 380 |
|
"""Create a ramp between prop1 and prop2.""" |
| 381 |
|
self.prop1 = prop1 |
| 382 |
|
self.prop2 = prop2 |
| 383 |
|
|
| 384 |
prop.SetLineWidth(int(self.lineWidth)) |
def GetRamp(self): |
| 385 |
self.lineWidth += self.lineWidthStep |
"""Return this ramp.""" |
| 386 |
|
return self |
| 387 |
|
|
| 388 |
self.count -= 1 |
def GetProperties(self, index): |
| 389 |
|
"""Return a ClassGroupProperties object whose properties |
| 390 |
|
represent a point at 'index' between prop1 and prop2 in |
| 391 |
|
the constructor. |
| 392 |
|
|
| 393 |
return prop |
index -- a value such that 0 <= index <= 1 |
| 394 |
|
""" |
| 395 |
|
|
| 396 |
def __GetColorInfo(self, color1, color2, numGroups): |
if not (0 <= index <= 1): |
| 397 |
|
raise ValueError(_("invalid index")) |
| 398 |
|
|
| 399 |
if color1 is Color.Transparent and color2 is Color.Transparent: |
newProps = ClassGroupProperties() |
|
# |
|
|
# returning early |
|
|
# |
|
|
return None |
|
|
elif color1 is not Color.Transparent and color2 is Color.Transparent: |
|
|
color = [color1.red * 255, |
|
|
color1.green * 255, |
|
|
color1.blue * 255] |
|
|
step = (0, 0, 0) |
|
|
elif color1 is Color.Transparent and color2 is not Color.Transparent: |
|
|
color = [color2.red * 255, |
|
|
color2.green * 255, |
|
|
color2.blue * 255] |
|
|
step = (0, 0, 0) |
|
|
else: |
|
|
color = [color1.red * 255, |
|
|
color1.green * 255, |
|
|
color1.blue * 255] |
|
|
step = ((color2.red * 255 - color1.red * 255) / numGroups, |
|
|
(color2.green * 255 - color1.green * 255) / numGroups, |
|
|
(color2.blue * 255 - color1.blue * 255) / numGroups) |
|
| 400 |
|
|
| 401 |
|
self.__SetProperty(self.prop1.GetLineColor(), |
| 402 |
|
self.prop2.GetLineColor(), |
| 403 |
|
index, newProps.SetLineColor) |
| 404 |
|
self.__SetProperty(self.prop1.GetFill(), self.prop2.GetFill(), |
| 405 |
|
index, newProps.SetFill) |
| 406 |
|
|
| 407 |
|
w = (self.prop2.GetLineWidth() - self.prop1.GetLineWidth()) \ |
| 408 |
|
* index \ |
| 409 |
|
+ self.prop1.GetLineWidth() |
| 410 |
|
newProps.SetLineWidth(int(round(w))) |
| 411 |
|
|
| 412 |
|
return newProps |
| 413 |
|
|
| 414 |
|
def __SetProperty(self, color1, color2, index, setf): |
| 415 |
|
"""Use setf to set the appropriate property for the point |
| 416 |
|
index percent between color1 and color2. setf is a function |
| 417 |
|
to call that accepts a Color object or Transparent. |
| 418 |
|
""" |
| 419 |
|
|
| 420 |
return (color, step) |
if color1 is Transparent and color2 is Transparent: |
| 421 |
|
setf(Transparent) |
| 422 |
|
elif color1 is Transparent: |
| 423 |
|
setf(Color( |
| 424 |
|
color2.red * index, |
| 425 |
|
color2.green * index, |
| 426 |
|
color2.blue * index)) |
| 427 |
|
elif color2 is Transparent: |
| 428 |
|
setf(Color( |
| 429 |
|
color1.red * index, |
| 430 |
|
color1.green * index, |
| 431 |
|
color1.blue * index)) |
| 432 |
|
else: |
| 433 |
|
setf(Color( |
| 434 |
|
(color2.red - color1.red) * index + color1.red, |
| 435 |
|
(color2.green - color1.green) * index + color1.green, |
| 436 |
|
(color2.blue - color1.blue) * index + color1.blue)) |
| 437 |
|
|
| 438 |
class MonochromaticRamp(CustomRamp): |
class MonochromaticRamp(CustomRamp): |
| 439 |
|
"""Helper class to make ramps between two colors.""" |
| 440 |
|
|
| 441 |
def __init__(self, start, end): |
def __init__(self, start, end): |
| 442 |
|
"""Create a Monochromatic Ramp. |
| 443 |
|
|
| 444 |
|
start -- starting Color |
| 445 |
|
|
| 446 |
|
end -- ending Color |
| 447 |
|
""" |
| 448 |
sp = ClassGroupProperties() |
sp = ClassGroupProperties() |
| 449 |
sp.SetLineColor(start) |
sp.SetLineColor(start) |
| 450 |
sp.SetFill(start) |
sp.SetFill(start) |
| 455 |
|
|
| 456 |
CustomRamp.__init__(self, sp, ep) |
CustomRamp.__init__(self, sp, ep) |
| 457 |
|
|
| 458 |
class GreyRamp(MonochromaticRamp): |
grey_ramp = MonochromaticRamp(Color(1, 1, 1), Color(0, 0, 0)) |
| 459 |
def __init__(self): |
red_ramp = MonochromaticRamp(Color(1, 1, 1), Color(.8, 0, 0)) |
| 460 |
MonochromaticRamp.__init__(self, Color(1, 1, 1), Color(0, 0, 0)) |
green_ramp = MonochromaticRamp(Color(1, 1, 1), Color(0, .8, 0)) |
| 461 |
|
blue_ramp = MonochromaticRamp(Color(1, 1, 1), Color(0, 0, .8)) |
| 462 |
class RedRamp(MonochromaticRamp): |
green_to_red_ramp = MonochromaticRamp(Color(0, .8, 0), 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)) |
|
| 463 |
|
|
| 464 |
class HotToColdRamp: |
class HotToColdRamp: |
| 465 |
|
"""A ramp that generates properties with colors ranging from |
| 466 |
|
'hot' colors (e.g. red, orange) to 'cold' colors (e.g. green, blue) |
| 467 |
|
""" |
| 468 |
|
|
|
def __iter__(self): |
|
|
return self |
|
|
|
|
| 469 |
def GetRamp(self): |
def GetRamp(self): |
| 470 |
|
"""Return this ramp.""" |
| 471 |
return self |
return self |
| 472 |
|
|
| 473 |
def SetNumGroups(self, num): |
def GetProperties(self, index): |
| 474 |
if num < 0: |
"""Return a ClassGroupProperties object whose properties |
| 475 |
return False |
represent a point at 'index' between "hot" and "cold". |
| 476 |
|
|
| 477 |
self.num = float(num) |
index -- a value such that 0 <= index <= 1 |
| 478 |
self.index = 0 |
""" |
|
|
|
|
return True |
|
|
|
|
|
def next(self): |
|
|
if self.index == self.num: |
|
|
raise StopIteration |
|
| 479 |
|
|
| 480 |
clr = [1.0, 1.0, 1.0] |
clr = [1.0, 1.0, 1.0] |
| 481 |
|
|
| 482 |
if self.index < (.25 * self.num): |
if index < .25: |
| 483 |
clr[0] = 0 |
clr[0] = 0 |
| 484 |
clr[1] = 4 * self.index / self.num |
clr[1] = 4 * index |
| 485 |
elif self.index < (.5 * self.num): |
elif index < .5: |
| 486 |
clr[0] = 0 |
clr[0] = 0 |
| 487 |
clr[2] = 1 + 4 * (.25 * self.num - self.index) / self.num |
clr[2] = 1 + 4 * (.25 - index) |
| 488 |
elif self.index < (.75 * self.num): |
elif index < .75: |
| 489 |
clr[0] = 4 * (self.index - .5 * self.num) / self.num |
clr[0] = 4 * (index - .5) |
| 490 |
clr[2] = 0 |
clr[2] = 0 |
| 491 |
else: |
else: |
| 492 |
clr[1] = 1 + 4 * (.75 * self.num - self.index) / self.num |
clr[1] = 1 + 4 * (.75 - index) |
| 493 |
clr[2] = 0 |
clr[2] = 0 |
| 494 |
|
|
|
self.index += 1 |
|
|
|
|
| 495 |
prop = ClassGroupProperties() |
prop = ClassGroupProperties() |
| 496 |
prop.SetLineColor(Color(clr[0], clr[1], clr[2])) |
prop.SetLineColor(Color(clr[0], clr[1], clr[2])) |
| 497 |
prop.SetFill(Color(clr[0], clr[1], clr[2])) |
prop.SetFill(Color(clr[0], clr[1], clr[2])) |
| 498 |
|
|
| 499 |
return prop |
return prop |
| 500 |
|
|
| 501 |
#class Colors16Ramp: |
class FixedRamp: |
| 502 |
# |
"""FixedRamp allows particular properties of a ramp to be |
| 503 |
#def __iter__(self): |
held constant over the ramp. |
| 504 |
#return self |
""" |
| 505 |
# |
|
| 506 |
#def GetRamp(self): |
def __init__(self, ramp, fixes): |
| 507 |
#return self |
""" |
| 508 |
# |
ramp -- a source ramp to get the default properties |
| 509 |
#def SetNumGroups(self, num): |
|
| 510 |
#if num < 0: |
fixes -- a tuple (lineColor, lineWidth, fillColor) such that |
| 511 |
#return False |
if any item is not None, the appropriate property will |
| 512 |
# |
be fixed to that item value. |
| 513 |
#self.index = 0 |
""" |
| 514 |
# |
|
| 515 |
#return True |
self.fixes = fixes |
| 516 |
|
self.ramp = ramp |
| 517 |
|
|
| 518 |
|
def GetRamp(self): |
| 519 |
|
"""Return this ramp.""" |
| 520 |
|
return self |
| 521 |
|
|
| 522 |
|
def GetProperties(self, index): |
| 523 |
|
"""Return a ClassGroupProperties object whose properties |
| 524 |
|
represent a point at 'index' between the properties in |
| 525 |
|
the ramp that initialized this FixedRamp. |
| 526 |
|
|
| 527 |
|
index -- a value such that 0 <= index <= 1 |
| 528 |
|
""" |
| 529 |
|
|
| 530 |
|
props = self.ramp.GetProperties(index) |
| 531 |
|
if self.fixes[0] is not None: props.SetLineColor(self.fixes[0]) |
| 532 |
|
if self.fixes[1] is not None: props.SetLineWidth(self.fixes[1]) |
| 533 |
|
if self.fixes[2] is not None: props.SetFill(self.fixes[2]) |
| 534 |
|
|
| 535 |
|
return props |
Parent Directory
| 
Revision Log
| 
Patch