/usr/share/pyshared/scitools/easyviz/matplotlib_.py is in python-scitools 0.9.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 | """
This backend uses the Python 2D plotting library Matplotlib (available from
http://matplotlib.sourceforge.net). To use this backend, one can run a
script somefile.py like
python somefile.py --SCITOOLS_easyviz_backend matplotlib
or one can specify the backend in the SciTools configuration file
scitools.cfg under the [easyviz] section
[easyviz]
backend = matplotlib
and then
from scitools.std import *
or if just easyviz is needed
from scitools.easyviz import *
REQUIREMENTS:
Matplotlib
"""
from __future__ import division
from common import *
from scitools.numpyutils import floor, linspace, array
from scitools.globaldata import DEBUG, VERBOSE
from scitools.misc import test_if_module_exists
from misc import _update_from_config_file
test_if_module_exists('matplotlib', msg='You need to install the Matplotlib package.', abort=False)
import matplotlib
import matplotlib.colors
# Override values from the matplotlib configuration file with values
# from scitools.cfg before importing pylab
_update_from_config_file(matplotlib.rcParams, section='matplotlib')
matplotlib.interactive(True)
from matplotlib.font_manager import fontManager, FontProperties
#import pylab
import matplotlib.pyplot as pylab
import re
class MatplotlibBackend(BaseClass):
def __init__(self):
BaseClass.__init__(self)
self._init()
def _init(self, *args, **kwargs):
"""Perform initialization that is special for this backend."""
self.figure(self.getp('curfig'))
# conversion tables for format strings:
self._markers = {
'': '', # no marker
'.': '.', # dot
'o': 'o', # circle
'x': 'x', # cross
'+': '+', # plus sign
'*': '+', # asterisk --> plus
's': 's', # square,
'd': 'd', # diamond,
'v': 'v', # triangle (down),
'^': '^', # triangle (up),
'<': '<', # triangle (left),
'>': '>', # triangle (right),
'p': 'p', # pentagram,
'h': 'h', # hexagram,
}
# convert table for colorbar location:
self._colorbar_locations = {
'North': None,
'South': None,
'East': None,
'West': None,
'NorthOutside': None,
'SouthOutside': None,
'EastOutside': None,
'WestOutside': None,
}
if DEBUG:
print "Setting backend standard variables"
for disp in 'self._markers'.split():
print disp, eval(disp)
def _set_scale(self, ax):
"""Set linear or logarithmic (base 10) axis scale."""
if DEBUG:
print "Setting scales"
scale = ax.getp('scale')
if scale == 'loglog':
# use logarithmic scale on both x- and y-axis
self._g.gca().set_xscale('log')
self._g.gca().set_yscale('log')
elif scale == 'logx':
# use logarithmic scale on x-axis and linear scale on y-axis
self._g.gca().set_xscale('log')
self._g.gca().set_yscale('linear')
elif scale == 'logy':
# use linear scale on x-axis and logarithmic scale on y-axis
self._g.gca().set_xscale('linear')
self._g.gca().set_yscale('log')
elif scale == 'linear':
# use linear scale on both x- and y-axis
#self._g.gca().set_xscale('linear')
#self._g.gca().set_yscale('linear')
pass
def _set_labels(self, ax):
"""Add text labels for x-, y-, and z-axis."""
if DEBUG:
print "Setting labels"
xlabel = ax.getp('xlabel')
ylabel = ax.getp('ylabel')
zlabel = ax.getp('zlabel')
xlabel = self._fix_latex(xlabel)
ylabel = self._fix_latex(ylabel)
zlabel = self._fix_latex(zlabel)
if xlabel:
# add a text label on x-axis
self._g.xlabel(xlabel)
if ylabel:
# add a text label on y-axis
self._g.ylabel(ylabel, rotation='vertical')
if zlabel:
# add a text label on z-axis
pass
def _set_title(self, ax):
"""Add a title at the top of the axis."""
if DEBUG:
print "Setting title"
title = ax.getp('title')
# The title can be a mix of math and text, leave this
# to the user
#title = self._fix_latex(title)
if title:
self._g.title(title)
def _set_limits(self, ax):
"""Set axis limits in x, y, and z direction."""
if DEBUG:
print "Setting axis limits"
mode = ax.getp('mode')
if mode == 'auto':
# let plotting package set 'nice' axis limits in the x, y,
# and z direction. If this is not automated in the plotting
# package, one can use the following limits:
#xmin, xmax, ymin, ymax, zmin, zmax = ax.get_limits()
#self._g.axis('auto')
pass
elif mode == 'manual':
# (some) axis limits are frozen
xmin = ax.getp('xmin')
xmax = ax.getp('xmax')
if xmin is not None and xmax is not None:
# set x-axis limits
self._g.gca().set_xlim(xmin, xmax)
else:
# let plotting package set x-axis limits or use
#xmin, xmax = ax.getp('xlim')
pass
ymin = ax.getp('ymin')
ymax = ax.getp('ymax')
if ymin is not None and ymax is not None:
# set y-axis limits
self._g.gca().set_ylim(ymin, ymax)
else:
# let plotting package set y-axis limits or use
#ymin, ymax = ax.getp('ylim')
pass
zmin = ax.getp('zmin')
zmax = ax.getp('zmax')
if zmin is not None and zmax is not None:
# set z-axis limits
pass
else:
# let plotting package set z-axis limits or use
#zmin, zmax = ax.getp('zlim')
pass
elif mode == 'tight':
# set the limits on the axis to the range of the data. If
# this is not automated in the plotting package, one can
# use the following limits:
#xmin, xmax, ymin, ymax, zmin, zmax = ax.get_limits()
self._g.axis('tight')
elif mode == 'fill':
# not sure about this
pass
def _set_position(self, ax):
"""Set axes position."""
rect = ax.getp('viewport')
if rect:
# axes position is defined. In Matlab rect is defined as
# [left,bottom,width,height], where the four parameters are
# location values between 0 and 1 ((0,0) is the lower-left
# corner and (1,1) is the upper-right corner).
# NOTE: This can be different in the plotting package.
pass
def _set_daspect(self, ax):
"""Set data aspect ratio."""
if ax.getp('daspectmode') == 'manual':
dar = ax.getp('daspect') # dar is a list (len(dar) is 3).
xmin = ax.getp('xmin')
xmax = ax.getp('xmax')
ymin = ax.getp('ymin')
ymax = ax.getp('ymax')
r = float(xmax-xmin)/(ymax-ymin)
self._g.gca().set_aspect(r*dar[0])
elif ax.getp('daspectmode') == 'equal':
self._g.gca().set_aspect('equal')
else:
# daspectmode is 'auto'. Plotting package handles data
# aspect ratio automatically.
self._g.gca().set_aspect('auto')
def _set_axis_method(self, ax):
method = ax.getp('method')
if method == 'equal':
# tick mark increments on the x-, y-, and z-axis should
# be equal in size.
self._g.axis('equal')
elif method == 'image':
# same effect as axis('equal') and axis('tight')
self._g.axis('image')
elif method == 'square':
# make the axis box square in size
pass
elif method == 'normal':
# full size axis box
pass
elif method == 'vis3d':
# freeze data aspect ratio when rotating 3D objects
pass
def _set_coordinate_system(self, ax):
"""
Use either the default Cartesian coordinate system or a
matrix coordinate system.
"""
direction = ax.getp('direction')
if direction == 'ij':
# Use matrix coordinates. The origin of the coordinate
# system is the upper-left corner. The i-axis should be
# vertical and numbered from top to bottom, while the j-axis
# should be horizontal and numbered from left to right.
pass
elif direction == 'xy':
# use the default Cartesian axes form. The origin is at the
# lower-left corner. The x-axis is vertical and numbered
# from left to right, while the y-axis is vertical and
# numbered from bottom to top.
pass
def _set_box(self, ax):
"""Turn box around axes boundary on or off."""
if DEBUG:
print "Setting box"
if ax.getp('box'):
# display box
self._g.box(on=True)
else:
# do not display box
self._g.box(on=False)
def _set_grid(self, ax):
"""Turn grid lines on or off."""
if DEBUG:
print "Setting grid"
if self._mpl3D:
# Do not call self._g.grid for 3D surf plots
return
if ax.getp('grid'):
# turn grid lines on
self._g.grid(b=True)
else:
# turn grid lines off
self._g.grid(b=False)
def _set_hidden_line_removal(self, ax):
"""Turn on/off hidden line removal for meshes."""
if DEBUG:
print "Setting hidden line removal"
if ax.getp('hidden'):
# turn hidden line removal on
pass
else:
# turn hidden line removal off
pass
def _set_colorbar(self, ax):
"""Add a colorbar to the axis."""
if DEBUG:
print "Setting colorbar"
if self._mpl3D:
# Do not call self._g.grid for 3D surf plots
return
cbar = ax.getp('colorbar')
if cbar.getp('visible'):
# turn on colorbar
cbar_title = cbar.getp('cbtitle')
cbar_location = self._colorbar_locations[cbar.getp('cblocation')]
cbar2 = self._g.colorbar(orientation='vertical')
if cbar_title:
cbar2.set_label(cbar_title)
#pos = [0.78, 0.1, 0.12, 0.8]
#cbar2.ax.set_position(pos)
#print cbar2.ax.get_position()
else:
# turn off colorbar
pass
def _set_caxis(self, ax):
"""Set the color axis scale."""
if DEBUG:
print "Setting caxis"
if ax.getp('caxismode') == 'manual':
cmin, cmax = ax.getp('caxis')
# NOTE: cmin and cmax might be None:
if cmin is None or cmax is None:
cmin, cmax = [0,1]
# set color axis scaling according to cmin and cmax
if self._mplsurf is not None:
pass # cannot handle 3D surf
else:
self._g.clim(cmin,cmax)
else:
# use autoranging for color axis scale
pass
def _set_colormap(self, ax):
"""Set the colormap."""
if DEBUG:
print "Setting colormap"
cmap = ax.getp('colormap')
# cmap is plotting package dependent
# the colormap is set in
def _set_view(self, ax):
"""Set viewpoint specification."""
if DEBUG:
print "Setting view"
cam = ax.getp('camera')
view = cam.getp('view')
if view == 2:
# setup a default 2D view
pass
elif view == 3:
az = cam.getp('azimuth')
el = cam.getp('elevation')
if az is None or el is None:
# azimuth or elevation is not given. Set up a default
# 3D view (az=-37.5 and el=30 is the default 3D view in
# Matlab).
pass
else:
# set a 3D view according to az and el
pass
if cam.getp('cammode') == 'manual':
# for advanced camera handling:
roll = cam.getp('camroll')
zoom = cam.getp('camzoom')
dolly = cam.getp('camdolly')
target = cam.getp('camtarget')
position = cam.getp('campos')
up_vector = cam.getp('camup')
view_angle = cam.getp('camva')
projection = cam.getp('camproj')
def _set_axis_props(self, ax):
if DEBUG:
print "Setting axis properties"
self._set_title(ax)
self._set_scale(ax)
self._set_axis_method(ax)
self._set_limits(ax)
self._set_position(ax)
self._set_daspect(ax)
self._set_coordinate_system(ax)
self._set_hidden_line_removal(ax)
self._set_colorbar(ax)
self._set_caxis(ax)
self._set_colormap(ax)
self._set_view(ax)
if ax.getp('visible'):
self._set_labels(ax)
self._set_box(ax)
self._set_grid(ax)
else:
# turn off all axis labeling, tickmarks, and background
self._g.axis('off')
def _get_linespecs(self, item):
"""
Return the line marker, line color, line style, and
line width of the item.
"""
marker = self._markers[item.getp('linemarker')]
color = item.getp('linecolor')
style = item.getp('linetype')
width = item.getp('linewidth')
if width:
width = float(width)
return marker, color, style, width
def _fix_latex(self, legend):
"""Enclose legend in $$ if latex syntax is detected."""
# We always support latex syntax either through direct
# use of latex (text.usetex=true) or through the native mathtext.
#if not matplotlib.rcParams['text.usetex']:
# return legend
legend = legend.strip()
if len(legend) >= 2 and legend[0] != '$' and legend[-1] != '$':
# else: assume correct latex syntax, otherwise fix
#print '....fix', legend,
if '**' in legend:
legend = legend.replace('**', '^')
if '*' in legend:
#legend = legend.replace('*', '\\cdot')
legend = legend.replace('*', ' ')
chars = '\\', '^', '_'
latex = False
for c in chars:
if c in legend:
latex = True
break
if latex:
# make this math:
legend = '$' + legend + '$'
# enclose words in \hbox{}'es:
# (not successful enough)
#word = r'(\s?[^\\][A-Za-z][a-z]*[ :;,$)] ?)'
#word = r'(\s?[A-Za-z][a-z]*[ :;,$)])'
#word = r'(\w[ :;,$)])'
#word = r'(\b[A-Za-z][a-z]*[ :;,$)]\b)'
#if re.search(word, legend):
# legend = re.sub(word, r'\hbox{\g<1>}', legend)
# remove internal $ chars:
legend = legend.replace('$', '')
legend = '$' + legend + '$'
# fix sin, cos, exp, ln, log, etc:
def _fix_func(func, newfunc, legend):
if re.search(r'[^\\]'+func, legend):
legend = legend.replace(func, '\\'+newfunc)
return legend
funcs = 'sin', 'cos', 'tan', 'exp', 'ln', 'log', \
'sinh', 'cosh', 'tanh'
for func in funcs:
legend = _fix_func(func, func, legend)
funcs = [('atan', 'arctan'), ('asin', 'arcsin'),
('acos', 'arccos'),]
for func, newfunc in funcs:
legend = _fix_func(func, newfunc, legend)
#print 'after fix:', legend
return legend
def _add_line(self, item):
"""Add a 2D or 3D curve to the scene."""
if DEBUG:
print "Adding a line"
# get data:
x = squeeze(item.getp('xdata'))
y = squeeze(item.getp('ydata'))
z = item.getp('zdata')
if z is not None:
z = squeeze(z)
# get line specifiactions:
marker, color, style, width = self._get_linespecs(item)
fmt = marker+color+style
if not width:
width = 1.0
if z is not None:
# zdata is given, add a 3D curve:
print "No support for plot3 in Matplotlib."
else:
# no zdata, add a 2D curve:
#l, = self._g.plot(x,y,fmt,linewidth=width)
l = self._g.plot(x,y,fmt,linewidth=width)
legend = item.getp('legend')
legend = self._fix_latex(legend)
if legend:
l[0].set_label(legend)
def _add_filled_line(self, item):
"""Add a 2D or 3D filled curve."""
if DEBUG:
print "Adding a line"
# get data:
x = squeeze(item.getp('xdata'))
y = squeeze(item.getp('ydata'))
z = item.getp('zdata')
# get line specifiactions:
marker, color, style, width = self._get_linespecs(item)
if not width:
width = 1.0
facecolor = item.getp('facecolor')
if not facecolor:
if not color:
color = 'b'
facecolor = color
edgecolor = item.getp('edgecolor')
if not edgecolor:
edgecolor = 'k' # use black for now
# FIXME: edgecolor should be ax.getp('fgcolor') by default
opacity = item.getp('material').getp('opacity')
if opacity is None:
opacity = 1.0
if z is not None:
# zdata is given, add a filled 3D curve:
print "No support for fill3 in Matplotlib."
else:
# no zdata, add a filled 2D curve:
l = self._g.fill(x, y, fc=facecolor, ec=edgecolor,
linewidth=width, alpha=opacity)
legend = item.getp('legend')
legend = self._fix_latex(legend)
if legend:
l[0].set_label(legend)
def _add_bar_graph(self, item, shading='faceted'):
if DEBUG:
print "Adding a bar graph"
# get data:
x = squeeze(item.getp('xdata'))
y = squeeze(item.getp('ydata'))
# get line specifiactions:
marker, color, style, width = self._get_linespecs(item)
edgecolor = item.getp('edgecolor')
if not edgecolor:
edgecolor = 'k' # use black for now
# FIXME: edgecolor should be same as ax.getp('fgcolor') by default
facecolor = item.getp('facecolor')
if not facecolor:
facecolor = color
opacity = item.getp('material').getp('opacity')
if opacity is None:
opacity = 1.0
if rank(y) == 1:
y = reshape(y,(len(y),1))
nx, ny = shape(y)
step = item.getp('barstepsize')/10
center = floor(ny/2)
start = -step*center
stop = step*center
if not ny%2:
start += step/2
stop -= step/2
a = linspace(start,stop,ny)
barwidth = item.getp('barwidth')/10
hold_state = self._g.ishold()
self._g.hold(True)
colors = PlotProperties._colors + matplotlib.colors.cnames.values()
for j in range(ny):
y_ = y[:,j]
x_ = array(range(nx)) + a[j] - barwidth/2
if not facecolor:
c = colors[j]
else:
c = facecolor
self._g.bar(x_, y_, width=barwidth, color=c,
ec=edgecolor, alpha=opacity)
self._g.hold(hold_state)
barticks = item.getp('barticks')
if barticks is None:
barticks = x
if item.getp('rotated_barticks'):
self._g.xticks(range(len(x)), barticks, rotation=90)
else:
self._g.xticks(range(len(x)), barticks)
def _add_surface(self, item, shading='faceted', colormap=None,
showcolorbar=False, zmin=None, zmax=None):
if DEBUG:
print "Adding a surface"
x = squeeze(item.getp('xdata')) # grid component in x-direction
y = squeeze(item.getp('ydata')) # grid component in y-direction
z = item.getp('zdata') # scalar field
c = item.getp('cdata') # pseudocolor data (can be None)
legend = item.getp('legend')
legend = self._fix_latex(legend)
if colormap is None or colormap == 'default':
colormap = self._g.cm.get_cmap('jet')
if shape(x) != shape(z) or shape(y) != shape(z):
x, y = meshgrid(x, y, sparse=False,
indexing=item.getp('indexing'))
opacity = item.getp('material').getp('opacity')
if opacity is None:
opacity = 1.0
contours = item.getp('contours')
if contours:
# the current item is produced by meshc or surfc and we
# should therefore add contours at the bottom:
#self._add_contours(contours, placement='bottom')
print "No support for meshc/surfc in Matplotlib."
if item.getp('wireframe'):
# wireframe mesh (as produced by mesh or meshc)
fig = self._g.gcf()
ax = fig.gca(projection='3d')
h = ax.plot_wireframe(x, y, z)
if legend:
h.set_label(legend)
else:
# colored surface (as produced by surf, surfc, or pcolor)
# use keyword argument shading to set the color shading mode
function = item.getp('function')
if function == 'pcolor':
h = self._g.pcolor(x, y, z, shading=shading,
cmap=colormap, alpha=opacity)
else:
# This is really a hack to use 3D surfaces in matplotlib...
from mpl_toolkits.mplot3d import Axes3D
fig = self._g.gcf()
ax = fig.gca(projection='3d')
if self._mplsurf is not None:
ax.collections.remove(self._mplsurf)
self._mplsurf = ax.plot_surface(x, y, z, rstride=1, cstride=1,
linewidth=0, cmap=colormap,
antialiased=False)
if showcolorbar and not self._mpl3D:
# Show colorbar only for the first plot in an animation
fig.colorbar(self._mplsurf, shrink=1.0, aspect=15,
orientation='vertical',)
if zmin is not None and zmax is not None:
ax.set_zlim3d(zmin, zmax)
self._mpl3D = True
# Problem: cannot fix color scale (or?)
if legend:
h.set_label(legend)
def _add_contours(self, item, placement=None, colormap=None):
# The placement keyword can be either None or 'bottom'. The
# latter specifies that the contours should be placed at the
# bottom (as in meshc or surfc).
if DEBUG:
print "Adding contours"
x = squeeze(item.getp('xdata')) # grid component in x-direction
y = squeeze(item.getp('ydata')) # grid component in y-direction
z = item.getp('zdata') # scalar field
legend = item.getp('legend')
legend = self._fix_latex(legend)
if colormap is None or colormap == 'default':
colormap = self._g.cm.get_cmap('jet')
if shape(x) != shape(z) or shape(y) != shape(z):
x, y = meshgrid(x, y, sparse=False,
indexing=item.getp('indexing'))
opacity = item.getp('material').getp('opacity')
if opacity is None:
opacity = 1.0
filled = item.getp('filled') # draw filled contour plot if True
cvector = item.getp('cvector')
clevels = item.getp('clevels') # number of contour levels
if cvector is None:
# the contour levels are chosen automatically
#cvector =
pass
else:
clevels = cvector
contour_cmd = self._g.contour
location = item.getp('clocation')
if location == 'surface':
# place the contours at the corresponding z level (contour3)
print "No support for contour3 in Matplotlib."
elif location == 'base':
if placement == 'bottom':
# place the contours at the bottom (as in meshc or surfc)
pass
else:
# standard contour plot
pass
if filled:
contour_cmd = self._g.contourf
kwargs = {'cmap': colormap, 'alpha': opacity}
# get line specifiactions:
marker, color, style, width = self._get_linespecs(item)
if color:
kwargs['colors'] = color
kwargs['cmap'] = None
if width:
kwargs['linewidths'] = width
if legend:
kwargs['label'] = legend
cs = contour_cmd(x,y,z,clevels,**kwargs)
if item.getp('clabels'):
# add labels on the contour curves
self._g.clabel(cs)
def _add_vectors(self, item):
if DEBUG:
print "Adding vectors"
# uncomment the following command if there is no support for
# automatic scaling of vectors in the current plotting package:
#item.scale_vectors()
# grid components:
x = squeeze(item.getp('xdata'))
y = squeeze(item.getp('ydata'))
z = item.getp('zdata')
# vector components:
u, v, w = item.getp('udata'), item.getp('vdata'), item.getp('wdata')
# get line specifiactions (marker='.' means no marker):
marker, color, style, width = self._get_linespecs(item)
indexing = item.getp('indexing')
legend = item.getp('legend')
legend = self._fix_latex(legend)
# scale the vectors according to this variable (scale=0 should
# turn off automatic scaling):
scale = item.getp('arrowscale')
if scale == 0:
scale = None
filled = item.getp('filledarrows') # draw filled arrows if True
if z is not None and w is not None:
# draw velocity vectors as arrows with components (u,v,w) at
# points (x,y,z):
print "No support for quiver3 in Matplotlib."
else:
# draw velocity vectors as arrows with components (u,v) at
# points (x,y):
if shape(x) != shape(u) and shape(y) != shape(u):
x, y = meshgrid(x, y, sparse=False, indexing=indexing)
if not color:
c = u**2+v**2 # color arrows by magnitude
h = self._g.quiver(x,y,u,v,c,scale=scale)
else:
h = self._g.quiver(x,y,u,v,scale=scale,color=color)
if legend:
h.set_label(legend)
def _add_streams(self, item):
if DEBUG:
print "Adding streams"
# grid components:
x, y, z = item.getp('xdata'), item.getp('ydata'), item.getp('zdata')
# vector components:
u, v, w = item.getp('udata'), item.getp('vdata'), item.getp('wdata')
# starting positions for streams:
sx, sy, sz = item.getp('startx'), item.getp('starty'), item.getp('startz')
if item.getp('tubes'):
# draw stream tubes from vector data (u,v,w) at points (x,y,z)
n = item.getp('n') # no points along the circumference of the tube
scale = item.getp('tubescale')
pass
elif item.getp('ribbons'):
# draw stream ribbons from vector data (u,v,w) at points (x,y,z)
width = item.getp('ribbonwidth')
pass
else:
if z is not None and w is not None:
# draw stream lines from vector data (u,v,w) at points (x,y,z)
pass
else:
# draw stream lines from vector data (u,v) at points (x,y)
pass
pass
def _add_isosurface(self, item):
if DEBUG:
print "Adding a isosurface"
# grid components:
x, y, z = item.getp('xdata'), item.getp('ydata'), item.getp('zdata')
v = item.getp('vdata') # volume
c = item.getp('cdata') # pseudocolor data
isovalue = item.getp('isovalue')
def _add_slices(self, item):
if DEBUG:
print "Adding slices in a volume"
# grid components:
x, y, z = item.getp('xdata'), item.getp('ydata'), item.getp('zdata')
v = item.getp('vdata') # volume
sx, sy, sz = item.getp('slices')
if rank(sz) == 2:
# sx, sy, and sz defines a surface
pass
else:
# sx, sy, and sz is either numbers or vectors with numbers
pass
pass
def _add_contourslices(self, item):
if DEBUG:
print "Adding contours in slice planes"
# grid components:
x, y, z = item.getp('xdata'), item.getp('ydata'), item.getp('zdata')
v = item.getp('vdata') # volume
sx, sy, sz = item.getp('slices')
if rank(sz) == 2:
# sx, sy, and sz defines a surface
pass
else:
# sx, sy, and sz is either numbers or vectors with numbers
pass
cvector = item.getp('cvector')
clevels = item.getp('clevels') # number of contour levels per plane
if cvector is None:
# the contour levels are chosen automatically
#cvector =
pass
pass
def _set_figure_size(self, fig):
if DEBUG:
print "Setting figure size"
width, height = fig.getp('size')
if width and height:
# set figure width and height
fig = self._g.gcf()
fig.set_size_inches(width,height)
else:
# use the default width and height in plotting package
pass
def figure(self, *args, **kwargs):
# Extension of BaseClass.figure:
# add a plotting package figure instance as fig._g and create a
# link to it as self._g
fignum = BaseClass.figure(self, *args, **kwargs)
fig = self.gcf()
try:
fig._g
except:
# create plotting package figure and save figure instance
# as fig._g
if DEBUG:
name = 'Fig ' + str(fignum)
print "creating figure %s in backend" % name
fig._g = pylab
self._g = fig._g # link for faster access
self._mpl3D = False
self._mplsurf = None
self._texts = {} # store calls to text (for replot)
return fignum
def _replot(self):
"""Replot all axes and all plotitems in the backend."""
# NOTE: only the current figure (gcf) is redrawn.
if DEBUG:
print "Doing replot in backend"
# turn off interactive in pyplot temporarily:
old_pylab_interactive_state = self._g.isinteractive()
self._g.ioff()
fig = self.gcf()
try:
fig._g
except:
self.figure(self.getp('curfig'))
self._g.figure(self.getp('curfig'))
# reset the plotting package instance in fig._g now if needed
if not self._mpl3D:
self._g.clf()
self._set_figure_size(fig)
nrows, ncolumns = fig.getp('axshape')
for axnr, ax in fig.getp('axes').items():
if ax.getp('numberofitems') == 0:
continue
if nrows != 1 or ncolumns != 1:
# create axes in tiled position
# this is subplot(nrows, ncolumns, axnr)
self._g.subplot(nrows, ncolumns, axnr)
else:
rect = ax.getp('viewport')
if isinstance(rect, (list,tuple)) and len(rect) == 4 and \
ax.getp('pth') is None:
self._g.axes(rect)
legends = False
plotitems = ax.getp('plotitems')
plotitems.sort(self._cmpPlotProperties)
for item in plotitems:
func = item.getp('function') # function that produced this item
if isinstance(item, Line):
if func == 'fill':
self._add_filled_line(item)
else:
self._add_line(item)
elif isinstance(item, Bars):
self._add_bar_graph(item, shading=ax.getp('shading'))
elif isinstance(item, Surface):
self._add_surface(item,
shading=ax.getp('shading'),
colormap=ax.getp('colormap'),
showcolorbar=ax.getp('colorbar').getp('visible'),
zmin=ax.getp('zmin'),
zmax=ax.getp('zmax'))
elif isinstance(item, Contours):
self._add_contours(item, colormap=ax.getp('colormap'))
elif isinstance(item, VelocityVectors):
self._add_vectors(item)
elif isinstance(item, Streams):
self._add_streams(item)
elif isinstance(item, Volume):
if func == 'isosurface':
self._add_isosurface(item)
elif func == 'slice_':
self._add_slices(item)
elif func == 'contourslice':
self._add_contourslices(item)
legend = item.getp('legend')
legend = self._fix_latex(legend)
if legend:
# add legend to plot
legends = True
if ax.getp('numberofitems') > 1 and not self._g.ishold():
self._g.hold(True)
if legends:
try:
loc = ax.getp('legend_loc')
except KeyError:
loc = 'best'
try:
fancybox = ax.getp('legend_fancybox')
except KeyError:
fancybox = True
self._g.legend(loc=loc, fancybox=fancybox)
self._set_axis_props(ax)
# Display texts
for args in self._texts:
self.text(args[0], args[1], args[2],
fontname=args[3], fontsize=args[4])
# set back the interactive state in pylab:
if old_pylab_interactive_state:
self._g.ion()
self._g.draw()
if self.getp('show'):
# display plot on the screen
if DEBUG:
print "\nDumping plot data to screen\n"
debug(self)
self._g.figure(self.getp('curfig')) # raise figure
# Or is there a better way to draw the current figure without
# calling pylab.show()?
#self._g.show()
def text(self, x, y, text,
fontname=Axis._local_prop['fontname'],
fontsize=Axis._local_prop['fontsize']):
"""Write text at position (x,y) in a curveplot."""
self._g.text(x, y, text, family=fontname, size=fontsize)
self._texts[(x, y, text, fontname, fontsize)] = None
def hardcopy(self, filename, **kwargs):
"""
Supported extensions: .eps, .jpg, .pdf, .png, .ps, and .svg
This is dependent on the Matplotlib backend.
Optional arguments:
dpi -- image resolution. Default is 150.
orientation -- 'portrait' (default) or 'landscape'. Only available
for PostScript output.
"""
self.setp(**kwargs)
color = self.getp('color')
replot = kwargs.get('replot', True)
if replot:
self._replot()
if DEBUG:
print "Hardcopy to %s" % filename
dpi = kwargs.get('dpi', 150)
orientation = kwargs.get('orientation', 'portrait')
self._g.savefig(filename,
facecolor='w',
edgecolor='w',
orientation=orientation)
def clf(self):
self._g.clf()
BaseClass.clf(self)
def closefig(self, arg=None):
if arg is None:
num = self.getp('curfig') # close current figure
elif arg in self._figs.keys():
num = arg
elif arg in self._figs.values():
for fignr, fig in self._figs.items():
if fig == arg:
num = fignr
break
else:
raise ValueError("closefig: cannot close figure '%s'" % arg)
self._g.close(num)
#del self._figs[num]._g
#del self._figs[num]
def closefigs(self):
for key in self._figs.keys():
self.closefig(key)
del self._g
BaseClass.closefigs(self)
# Colormap methods:
def hsv(self, m=None):
return pylab.cm.get_cmap('hsv', m)
def hot(self, m=None):
return pylab.cm.get_cmap('hot', m)
def gray(self, m=None):
return pylab.cm.get_cmap('gray', m)
def bone(self, m=None):
return pylab.cm.get_cmap('bone', m)
def copper(self, m=None):
return pylab.cm.get_cmap('copper', m)
def pink(self, m=None):
return pylab.cm.get_cmap('pink', m)
def white(self, m=None):
raise NotImplementedError('white not implemented in class %s' % \
self.__class__.__name__)
def flag(self, m=None):
return pylab.cm.get_cmap('flag', m)
def lines(self, m=None):
raise NotImplementedError('lines not implemented in class %s' % \
self.__class__.__name__)
def colorcube(self, m=None):
raise NotImplementedError('colorcube not implemented in class %s' % \
self.__class__.__name__)
def vga(self, m=None):
raise NotImplementedError('vga not implemented in class %s' % \
self.__class__.__name__)
def jet(self, m=None):
return pylab.cm.get_cmap('jet', m)
def prism(self, m=None):
return pylab.cm.get_cmap('prism', m)
def cool(self, m=None):
return pylab.cm.get_cmap('cool', m)
def autumn(self, m=None):
return pylab.cm.get_cmap('autumn', m)
def spring(self, m=None):
return pylab.cm.get_cmap('spring', m)
def winter(self, m=None):
return pylab.cm.get_cmap('winter', m)
def summer(self, m=None):
return pylab.cm.get_cmap('summer', m)
# Now we add the doc string from the methods in BaseClass to the
# methods that are reimplemented in this backend:
for cmd in BaseClass._matlab_like_cmds:
if not '__' in cmd and hasattr(BaseClass, cmd):
m1 = eval('BaseClass.%s' % cmd)
try:
m2 = eval('%s' % cmd)
except NameError:
pass
else:
if m1.__doc__ != m2.__doc__:
if m2.__doc__ is None:
m2.__doc__ = ""
m2.__doc__ = m1.__doc__ + m2.__doc__
plt = MatplotlibBackend() # create backend instance
use(plt, globals()) # export public namespace of plt to globals()
# We should close all figure windows on program exit:
import atexit
atexit.register(close, 'all')
backend = os.path.splitext(os.path.basename(__file__))[0][:-1]
|