aboutsummaryrefslogtreecommitdiff
path: root/gn2/utility/Plot.py
blob: ace954e44bb5a3aa771552b399fa6829d18b6527 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
# Copyright (C) University of Tennessee Health Science Center, Memphis, TN.
#
# This program is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License
# as published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
# See the GNU Affero General Public License for more details.
#
# This program is available from Source Forge: at GeneNetwork Project
# (sourceforge.net/projects/genenetwork/).
#
# Contact Drs. Robert W. Williams and Xiaodong Zhou (2010)
# at rwilliams@uthsc.edu and xzhou15@uthsc.edu
#
#
#
# This module is used by GeneNetwork project (www.genenetwork.org)
#
# Created by GeneNetwork Core Team 2010/08/10
#
# Last updated by GeneNetwork Core Team 2010/10/20

from PIL import ImageColor
from PIL import ImageDraw
from PIL import ImageFont

from math import *

import gn2.utility.corestats as corestats
from gn2.base import webqtlConfig
from gn2.utility.pillow_utils import draw_rotated_text


# ---- Define common colours ---- #
BLUE = ImageColor.getrgb("blue")
BLACK = ImageColor.getrgb("black")
# ---- END: Define common colours ---- #

# ---- FONT FILES ---- #
VERDANA_FILE = "./wqflask/static/fonts/verdana.ttf"
COUR_FILE = "./wqflask/static/fonts/courbd.ttf"
TAHOMA_FILE = "./wqflask/static/fonts/tahoma.ttf"
# ---- END: FONT FILES ---- #


def cformat(d, rank=0):
    'custom string format'
    strD = "%2.6f" % d

    if rank == 0:
        while strD[-1] in ('0', '.'):
            if strD[-1] == '0' and strD[-2] == '.' and len(strD) <= 4:
                break
            elif strD[-1] == '.':
                strD = strD[:-1]
                break
            else:
                strD = strD[:-1]

    else:
        strD = strD.split(".")[0]

    if strD == '-0.0':
        strD = '0.0'
    return strD


def frange(start, end=None, inc=1.0):
    "A faster range-like function that does accept float increments..."
    if end == None:
        end = start + 0.0
        start = 0.0
    else:
        start += 0.0  # force it to be a float
    count = int((end - start) / inc)
    if start + count * inc != end:
        # Need to adjust the count. AFAICT, it always comes up one short.
        count += 1
    L = [start] * count
    for i in range(1, count):
        L[i] = start + i * inc
    return L


def find_outliers(vals):
    """Calculates the upper and lower bounds of a set of sample/case values


    >>> find_outliers([3.504, 5.234, 6.123, 7.234, 3.542, 5.341, 7.852, 4.555, 12.537])
    (11.252500000000001, 0.5364999999999993)

    >>> find_outliers([9,12,15,17,31,50,7,5,6,8])
    (32.0, -8.0)

    If there are no vals, returns None for the upper and lower bounds,
    which code that calls it will have to deal with.
    >>> find_outliers([])
    (None, None)

    """

    if vals:
        stats = corestats.Stats(vals)
        low_hinge = stats.percentile(25)
        up_hinge = stats.percentile(75)
        hstep = 1.5 * (up_hinge - low_hinge)

        upper_bound = up_hinge + hstep
        lower_bound = low_hinge - hstep

    else:
        upper_bound = None
        lower_bound = None

    return upper_bound, lower_bound

# parameter: data is either object returned by reaper permutation function (called by MarkerRegressionPage.py)
# or the first object returned by direct (pair-scan) permu function (called by DirectPlotPage.py)


def plotBar(canvas, data, barColor=BLUE, axesColor=BLACK, labelColor=BLACK, XLabel=None, YLabel=None, title=None, offset=(60, 20, 40, 40), zoom=1):
    im_drawer = ImageDraw.Draw(canvas)
    xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset

    plotWidth = canvas.size[0] - xLeftOffset - xRightOffset
    plotHeight = canvas.size[1] - yTopOffset - yBottomOffset
    if plotHeight <= 0 or plotWidth <= 0:
        return

    if len(data) < 2:
        return

    max_D = max(data)
    min_D = min(data)
    # add by NL 06-20-2011: fix the error: when max_D is infinite, log function in detScale will go wrong
    if (max_D == float('inf') or max_D > webqtlConfig.MAXLRS) and min_D < webqtlConfig.MAXLRS:
        max_D = webqtlConfig.MAXLRS  # maximum LRS value

    xLow, xTop, stepX = detScale(min_D, max_D)

    # reduce data
    # ZS: Used to determine number of bins for permutation output
    step = ceil((xTop - xLow) / 50.0)
    j = xLow
    dataXY = []
    Count = []
    while j <= xTop:
        dataXY.append(j)
        Count.append(0)
        j += step

    for i, item in enumerate(data):
        if (item == float('inf') or item > webqtlConfig.MAXLRS) and min_D < webqtlConfig.MAXLRS:
            item = webqtlConfig.MAXLRS  # maximum LRS value
        j = int((item - xLow) / step)
        Count[j] += 1

    yLow, yTop, stepY = detScale(0, max(Count))

    # draw data
    xScale = plotWidth / (xTop - xLow)
    yScale = plotHeight / (yTop - yLow)
    barWidth = xScale * step

    for i, count in enumerate(Count):
        if count:
            xc = (dataXY[i] - xLow) * xScale + xLeftOffset
            yc = -(count - yLow) * yScale + yTopOffset + plotHeight
            im_drawer.rectangle(
                xy=((xc + 2, yc), (xc + barWidth - 2, yTopOffset + plotHeight)),
                outline=barColor, fill=barColor)

    # draw drawing region
    im_drawer.rectangle(
        xy=((xLeftOffset, yTopOffset),
            (xLeftOffset + plotWidth, yTopOffset + plotHeight))
    )

    # draw scale
    scaleFont = ImageFont.truetype(font=COUR_FILE, size=11)
    x = xLow
    for i in range(int(stepX) + 1):
        xc = xLeftOffset + (x - xLow) * xScale
        im_drawer.line(
            xy=((xc, yTopOffset + plotHeight),
                (xc, yTopOffset + plotHeight + 5)),
            fill=axesColor)
        strX = cformat(d=x, rank=0)
        im_drawer.text(
            text=strX,
            xy=(xc - im_drawer.textsize(strX, font=scaleFont)[0] / 2,
                yTopOffset + plotHeight + 14), font=scaleFont)
        x += (xTop - xLow) / stepX

    y = yLow
    for i in range(int(stepY) + 1):
        yc = yTopOffset + plotHeight - (y - yLow) * yScale
        im_drawer.line(
            xy=((xLeftOffset, yc), (xLeftOffset - 5, yc)), fill=axesColor)
        strY = "%d" % y
        im_drawer.text(
            text=strY,
            xy=(xLeftOffset - im_drawer.textsize(strY,
                                                 font=scaleFont)[0] - 6, yc + 5),
            font=scaleFont)
        y += (yTop - yLow) / stepY

    # draw label
    labelFont = ImageFont.truetype(font=TAHOMA_FILE, size=17)
    if XLabel:
        im_drawer.text(
            text=XLabel,
            xy=(xLeftOffset + (
                plotWidth - im_drawer.textsize(XLabel, font=labelFont)[0]) / 2.0,
                yTopOffset + plotHeight + yBottomOffset - 10),
            font=labelFont, fill=labelColor)

    if YLabel:
        draw_rotated_text(canvas, text=YLabel,
                          xy=(19,
                              yTopOffset + plotHeight - (
                                  plotHeight - im_drawer.textsize(
                                      YLabel, font=labelFont)[0]) / 2.0),
                          font=labelFont, fill=labelColor, angle=90)

    labelFont = ImageFont.truetype(font=VERDANA_FILE, size=16)
    if title:
        im_drawer.text(
            text=title,
            xy=(xLeftOffset + (plotWidth - im_drawer.textsize(
                title, font=labelFont)[0]) / 2.0,
                20),
            font=labelFont, fill=labelColor)

# This function determines the scale of the plot


def detScaleOld(min, max):
    if min >= max:
        return None
    elif min == -1.0 and max == 1.0:
        return [-1.2, 1.2, 12]
    else:
        a = max - min
        b = floor(log10(a))
        c = pow(10.0, b)
        if a < c * 5.0:
            c /= 2.0
        # print a,b,c
        low = c * floor(min / c)
        high = c * ceil(max / c)
        return [low, high, round((high - low) / c)]


def detScale(min=0, max=0):

    if min >= max:
        return None
    elif min == -1.0 and max == 1.0:
        return [-1.2, 1.2, 12]
    else:
        a = max - min
        if max != 0:
            max += 0.1 * a
        if min != 0:
            if min > 0 and min < 0.1 * a:
                min = 0.0
            else:
                min -= 0.1 * a
        a = max - min
        b = floor(log10(a))
        c = pow(10.0, b)
        low = c * floor(min / c)
        high = c * ceil(max / c)
        n = round((high - low) / c)
        div = 2.0
        while n < 5 or n > 15:
            if n < 5:
                c /= div
            else:
                c *= div
            if div == 2.0:
                div = 5.0
            else:
                div = 2.0
            low = c * floor(min / c)
            high = c * ceil(max / c)
            n = round((high - low) / c)

        return [low, high, n]


def bluefunc(x):
    return 1.0 / (1.0 + exp(-10 * (x - 0.6)))


def redfunc(x):
    return 1.0 / (1.0 + exp(10 * (x - 0.5)))


def greenfunc(x):
    return 1 - pow(redfunc(x + 0.2), 2) - bluefunc(x - 0.3)


def colorSpectrum(n=100):
    multiple = 10
    if n == 1:
        return [ImageColor.getrgb("rgb(100%,0%,0%)")]
    elif n == 2:
        return [ImageColor.getrgb("100%,0%,0%)"),
                ImageColor.getrgb("rgb(0%,0%,100%)")]
    elif n == 3:
        return [ImageColor.getrgb("rgb(100%,0%,0%)"),
                ImageColor.getrgb("rgb(0%,100%,0%)"),
                ImageColor.getrgb("rgb(0%,0%,100%)")]
    N = n * multiple
    out = [None] * N
    for i in range(N):
        x = float(i) / N
        out[i] = ImageColor.getrgb("rgb({}%,{}%,{}%".format(
            *[int(i * 100) for i in (
                redfunc(x), greenfunc(x), bluefunc(x))]))
    out2 = [out[0]]
    step = N / float(n - 1)
    j = 0
    for i in range(n - 2):
        j += step
        out2.append(out[int(j)])
    out2.append(out[-1])
    return out2


def _test():
    import doctest
    doctest.testmod()


if __name__ == "__main__":
    _test()