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
|
from itertools import product
import io
import platform
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
from matplotlib import cbook
from matplotlib.backend_bases import MouseEvent
from matplotlib.colors import LogNorm
from matplotlib.patches import Circle, Ellipse
from matplotlib.transforms import Bbox, TransformedBbox
from matplotlib.testing.decorators import (
check_figures_equal, image_comparison, remove_ticks_and_titles)
from mpl_toolkits.axes_grid1 import (
axes_size as Size,
host_subplot, make_axes_locatable,
Grid, AxesGrid, ImageGrid)
from mpl_toolkits.axes_grid1.anchored_artists import (
AnchoredAuxTransformBox, AnchoredDrawingArea,
AnchoredDirectionArrows, AnchoredSizeBar)
from mpl_toolkits.axes_grid1.axes_divider import (
Divider, HBoxDivider, make_axes_area_auto_adjustable, SubplotDivider,
VBoxDivider)
from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes
from mpl_toolkits.axes_grid1.inset_locator import (
zoomed_inset_axes, mark_inset, inset_axes, BboxConnectorPatch)
import mpl_toolkits.axes_grid1.mpl_axes
import pytest
import numpy as np
from numpy.testing import assert_array_equal, assert_array_almost_equal
def test_divider_append_axes():
fig, ax = plt.subplots()
divider = make_axes_locatable(ax)
axs = {
"main": ax,
"top": divider.append_axes("top", 1.2, pad=0.1, sharex=ax),
"bottom": divider.append_axes("bottom", 1.2, pad=0.1, sharex=ax),
"left": divider.append_axes("left", 1.2, pad=0.1, sharey=ax),
"right": divider.append_axes("right", 1.2, pad=0.1, sharey=ax),
}
fig.canvas.draw()
bboxes = {k: axs[k].get_window_extent() for k in axs}
dpi = fig.dpi
assert bboxes["top"].height == pytest.approx(1.2 * dpi)
assert bboxes["bottom"].height == pytest.approx(1.2 * dpi)
assert bboxes["left"].width == pytest.approx(1.2 * dpi)
assert bboxes["right"].width == pytest.approx(1.2 * dpi)
assert bboxes["top"].y0 - bboxes["main"].y1 == pytest.approx(0.1 * dpi)
assert bboxes["main"].y0 - bboxes["bottom"].y1 == pytest.approx(0.1 * dpi)
assert bboxes["main"].x0 - bboxes["left"].x1 == pytest.approx(0.1 * dpi)
assert bboxes["right"].x0 - bboxes["main"].x1 == pytest.approx(0.1 * dpi)
assert bboxes["left"].y0 == bboxes["main"].y0 == bboxes["right"].y0
assert bboxes["left"].y1 == bboxes["main"].y1 == bboxes["right"].y1
assert bboxes["top"].x0 == bboxes["main"].x0 == bboxes["bottom"].x0
assert bboxes["top"].x1 == bboxes["main"].x1 == bboxes["bottom"].x1
# Update style when regenerating the test image
@image_comparison(['twin_axes_empty_and_removed'], extensions=["png"], tol=1,
style=('classic', '_classic_test_patch'))
def test_twin_axes_empty_and_removed():
# Purely cosmetic font changes (avoid overlap)
mpl.rcParams.update(
{"font.size": 8, "xtick.labelsize": 8, "ytick.labelsize": 8})
generators = ["twinx", "twiny", "twin"]
modifiers = ["", "host invisible", "twin removed", "twin invisible",
"twin removed\nhost invisible"]
# Unmodified host subplot at the beginning for reference
h = host_subplot(len(modifiers)+1, len(generators), 2)
h.text(0.5, 0.5, "host_subplot",
horizontalalignment="center", verticalalignment="center")
# Host subplots with various modifications (twin*, visibility) applied
for i, (mod, gen) in enumerate(product(modifiers, generators),
len(generators) + 1):
h = host_subplot(len(modifiers)+1, len(generators), i)
t = getattr(h, gen)()
if "twin invisible" in mod:
t.axis[:].set_visible(False)
if "twin removed" in mod:
t.remove()
if "host invisible" in mod:
h.axis[:].set_visible(False)
h.text(0.5, 0.5, gen + ("\n" + mod if mod else ""),
horizontalalignment="center", verticalalignment="center")
plt.subplots_adjust(wspace=0.5, hspace=1)
def test_twin_axes_both_with_units():
host = host_subplot(111)
with pytest.warns(mpl.MatplotlibDeprecationWarning):
host.plot_date([0, 1, 2], [0, 1, 2], xdate=False, ydate=True)
twin = host.twinx()
twin.plot(["a", "b", "c"])
assert host.get_yticklabels()[0].get_text() == "00:00:00"
assert twin.get_yticklabels()[0].get_text() == "a"
def test_axesgrid_colorbar_log_smoketest():
fig = plt.figure()
grid = AxesGrid(fig, 111, # modified to be only subplot
nrows_ncols=(1, 1),
ngrids=1,
label_mode="L",
cbar_location="top",
cbar_mode="single",
)
Z = 10000 * np.random.rand(10, 10)
im = grid[0].imshow(Z, interpolation="nearest", norm=LogNorm())
grid.cbar_axes[0].colorbar(im)
def test_inset_colorbar_tight_layout_smoketest():
fig, ax = plt.subplots(1, 1)
pts = ax.scatter([0, 1], [0, 1], c=[1, 5])
cax = inset_axes(ax, width="3%", height="70%")
plt.colorbar(pts, cax=cax)
with pytest.warns(UserWarning, match="This figure includes Axes"):
# Will warn, but not raise an error
plt.tight_layout()
@image_comparison(['inset_locator.png'], style='default', remove_text=True)
def test_inset_locator():
fig, ax = plt.subplots(figsize=[5, 4])
# prepare the demo image
# Z is a 15x15 array
Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
extent = (-3, 4, -4, 3)
Z2 = np.zeros((150, 150))
ny, nx = Z.shape
Z2[30:30+ny, 30:30+nx] = Z
ax.imshow(Z2, extent=extent, interpolation="nearest",
origin="lower")
axins = zoomed_inset_axes(ax, zoom=6, loc='upper right')
axins.imshow(Z2, extent=extent, interpolation="nearest",
origin="lower")
axins.yaxis.get_major_locator().set_params(nbins=7)
axins.xaxis.get_major_locator().set_params(nbins=7)
# sub region of the original image
x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
axins.set_xlim(x1, x2)
axins.set_ylim(y1, y2)
plt.xticks(visible=False)
plt.yticks(visible=False)
# draw a bbox of the region of the inset axes in the parent axes and
# connecting lines between the bbox and the inset axes area
mark_inset(ax, axins, loc1=2, loc2=4, fc="none", ec="0.5")
asb = AnchoredSizeBar(ax.transData,
0.5,
'0.5',
loc='lower center',
pad=0.1, borderpad=0.5, sep=5,
frameon=False)
ax.add_artist(asb)
@image_comparison(['inset_axes.png'], style='default', remove_text=True)
def test_inset_axes():
fig, ax = plt.subplots(figsize=[5, 4])
# prepare the demo image
# Z is a 15x15 array
Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
extent = (-3, 4, -4, 3)
Z2 = np.zeros((150, 150))
ny, nx = Z.shape
Z2[30:30+ny, 30:30+nx] = Z
ax.imshow(Z2, extent=extent, interpolation="nearest",
origin="lower")
# creating our inset axes with a bbox_transform parameter
axins = inset_axes(ax, width=1., height=1., bbox_to_anchor=(1, 1),
bbox_transform=ax.transAxes)
axins.imshow(Z2, extent=extent, interpolation="nearest",
origin="lower")
axins.yaxis.get_major_locator().set_params(nbins=7)
axins.xaxis.get_major_locator().set_params(nbins=7)
# sub region of the original image
x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
axins.set_xlim(x1, x2)
axins.set_ylim(y1, y2)
plt.xticks(visible=False)
plt.yticks(visible=False)
# draw a bbox of the region of the inset axes in the parent axes and
# connecting lines between the bbox and the inset axes area
mark_inset(ax, axins, loc1=2, loc2=4, fc="none", ec="0.5")
asb = AnchoredSizeBar(ax.transData,
0.5,
'0.5',
loc='lower center',
pad=0.1, borderpad=0.5, sep=5,
frameon=False)
ax.add_artist(asb)
def test_inset_axes_complete():
dpi = 100
figsize = (6, 5)
fig, ax = plt.subplots(figsize=figsize, dpi=dpi)
fig.subplots_adjust(.1, .1, .9, .9)
ins = inset_axes(ax, width=2., height=2., borderpad=0)
fig.canvas.draw()
assert_array_almost_equal(
ins.get_position().extents,
[(0.9*figsize[0]-2.)/figsize[0], (0.9*figsize[1]-2.)/figsize[1],
0.9, 0.9])
ins = inset_axes(ax, width="40%", height="30%", borderpad=0)
fig.canvas.draw()
assert_array_almost_equal(
ins.get_position().extents, [.9-.8*.4, .9-.8*.3, 0.9, 0.9])
ins = inset_axes(ax, width=1., height=1.2, bbox_to_anchor=(200, 100),
loc=3, borderpad=0)
fig.canvas.draw()
assert_array_almost_equal(
ins.get_position().extents,
[200/dpi/figsize[0], 100/dpi/figsize[1],
(200/dpi+1)/figsize[0], (100/dpi+1.2)/figsize[1]])
ins1 = inset_axes(ax, width="35%", height="60%", loc=3, borderpad=1)
ins2 = inset_axes(ax, width="100%", height="100%",
bbox_to_anchor=(0, 0, .35, .60),
bbox_transform=ax.transAxes, loc=3, borderpad=1)
fig.canvas.draw()
assert_array_equal(ins1.get_position().extents,
ins2.get_position().extents)
with pytest.raises(ValueError):
ins = inset_axes(ax, width="40%", height="30%",
bbox_to_anchor=(0.4, 0.5))
with pytest.warns(UserWarning):
ins = inset_axes(ax, width="40%", height="30%",
bbox_transform=ax.transAxes)
def test_inset_axes_tight():
# gh-26287 found that inset_axes raised with bbox_inches=tight
fig, ax = plt.subplots()
inset_axes(ax, width=1.3, height=0.9)
f = io.BytesIO()
fig.savefig(f, bbox_inches="tight")
@image_comparison(['fill_facecolor.png'], remove_text=True, style='mpl20')
def test_fill_facecolor():
fig, ax = plt.subplots(1, 5)
fig.set_size_inches(5, 5)
for i in range(1, 4):
ax[i].yaxis.set_visible(False)
ax[4].yaxis.tick_right()
bbox = Bbox.from_extents(0, 0.4, 1, 0.6)
# fill with blue by setting 'fc' field
bbox1 = TransformedBbox(bbox, ax[0].transData)
bbox2 = TransformedBbox(bbox, ax[1].transData)
# set color to BboxConnectorPatch
p = BboxConnectorPatch(
bbox1, bbox2, loc1a=1, loc2a=2, loc1b=4, loc2b=3,
ec="r", fc="b")
p.set_clip_on(False)
ax[0].add_patch(p)
# set color to marked area
axins = zoomed_inset_axes(ax[0], 1, loc='upper right')
axins.set_xlim(0, 0.2)
axins.set_ylim(0, 0.2)
plt.gca().axes.xaxis.set_ticks([])
plt.gca().axes.yaxis.set_ticks([])
mark_inset(ax[0], axins, loc1=2, loc2=4, fc="b", ec="0.5")
# fill with yellow by setting 'facecolor' field
bbox3 = TransformedBbox(bbox, ax[1].transData)
bbox4 = TransformedBbox(bbox, ax[2].transData)
# set color to BboxConnectorPatch
p = BboxConnectorPatch(
bbox3, bbox4, loc1a=1, loc2a=2, loc1b=4, loc2b=3,
ec="r", facecolor="y")
p.set_clip_on(False)
ax[1].add_patch(p)
# set color to marked area
axins = zoomed_inset_axes(ax[1], 1, loc='upper right')
axins.set_xlim(0, 0.2)
axins.set_ylim(0, 0.2)
plt.gca().axes.xaxis.set_ticks([])
plt.gca().axes.yaxis.set_ticks([])
mark_inset(ax[1], axins, loc1=2, loc2=4, facecolor="y", ec="0.5")
# fill with green by setting 'color' field
bbox5 = TransformedBbox(bbox, ax[2].transData)
bbox6 = TransformedBbox(bbox, ax[3].transData)
# set color to BboxConnectorPatch
p = BboxConnectorPatch(
bbox5, bbox6, loc1a=1, loc2a=2, loc1b=4, loc2b=3,
ec="r", color="g")
p.set_clip_on(False)
ax[2].add_patch(p)
# set color to marked area
axins = zoomed_inset_axes(ax[2], 1, loc='upper right')
axins.set_xlim(0, 0.2)
axins.set_ylim(0, 0.2)
plt.gca().axes.xaxis.set_ticks([])
plt.gca().axes.yaxis.set_ticks([])
mark_inset(ax[2], axins, loc1=2, loc2=4, color="g", ec="0.5")
# fill with green but color won't show if set fill to False
bbox7 = TransformedBbox(bbox, ax[3].transData)
bbox8 = TransformedBbox(bbox, ax[4].transData)
# BboxConnectorPatch won't show green
p = BboxConnectorPatch(
bbox7, bbox8, loc1a=1, loc2a=2, loc1b=4, loc2b=3,
ec="r", fc="g", fill=False)
p.set_clip_on(False)
ax[3].add_patch(p)
# marked area won't show green
axins = zoomed_inset_axes(ax[3], 1, loc='upper right')
axins.set_xlim(0, 0.2)
axins.set_ylim(0, 0.2)
axins.xaxis.set_ticks([])
axins.yaxis.set_ticks([])
mark_inset(ax[3], axins, loc1=2, loc2=4, fc="g", ec="0.5", fill=False)
# Update style when regenerating the test image
@image_comparison(['zoomed_axes.png', 'inverted_zoomed_axes.png'],
style=('classic', '_classic_test_patch'),
tol=0 if platform.machine() == 'x86_64' else 0.02)
def test_zooming_with_inverted_axes():
fig, ax = plt.subplots()
ax.plot([1, 2, 3], [1, 2, 3])
ax.axis([1, 3, 1, 3])
inset_ax = zoomed_inset_axes(ax, zoom=2.5, loc='lower right')
inset_ax.axis([1.1, 1.4, 1.1, 1.4])
fig, ax = plt.subplots()
ax.plot([1, 2, 3], [1, 2, 3])
ax.axis([3, 1, 3, 1])
inset_ax = zoomed_inset_axes(ax, zoom=2.5, loc='lower right')
inset_ax.axis([1.4, 1.1, 1.4, 1.1])
# Update style when regenerating the test image
@image_comparison(['anchored_direction_arrows.png'],
tol=0 if platform.machine() == 'x86_64' else 0.01,
style=('classic', '_classic_test_patch'))
def test_anchored_direction_arrows():
fig, ax = plt.subplots()
ax.imshow(np.zeros((10, 10)), interpolation='nearest')
simple_arrow = AnchoredDirectionArrows(ax.transAxes, 'X', 'Y')
ax.add_artist(simple_arrow)
# Update style when regenerating the test image
@image_comparison(['anchored_direction_arrows_many_args.png'],
style=('classic', '_classic_test_patch'))
def test_anchored_direction_arrows_many_args():
fig, ax = plt.subplots()
ax.imshow(np.ones((10, 10)))
direction_arrows = AnchoredDirectionArrows(
ax.transAxes, 'A', 'B', loc='upper right', color='red',
aspect_ratio=-0.5, pad=0.6, borderpad=2, frameon=True, alpha=0.7,
sep_x=-0.06, sep_y=-0.08, back_length=0.1, head_width=9,
head_length=10, tail_width=5)
ax.add_artist(direction_arrows)
def test_axes_locatable_position():
fig, ax = plt.subplots()
divider = make_axes_locatable(ax)
with mpl.rc_context({"figure.subplot.wspace": 0.02}):
cax = divider.append_axes('right', size='5%')
fig.canvas.draw()
assert np.isclose(cax.get_position(original=False).width,
0.03621495327102808)
@image_comparison(['image_grid_each_left_label_mode_all.png'], style='mpl20',
savefig_kwarg={'bbox_inches': 'tight'})
def test_image_grid_each_left_label_mode_all():
imdata = np.arange(100).reshape((10, 10))
fig = plt.figure(1, (3, 3))
grid = ImageGrid(fig, (1, 1, 1), nrows_ncols=(3, 2), axes_pad=(0.5, 0.3),
cbar_mode="each", cbar_location="left", cbar_size="15%",
label_mode="all")
# 3-tuple rect => SubplotDivider
assert isinstance(grid.get_divider(), SubplotDivider)
assert grid.get_axes_pad() == (0.5, 0.3)
assert grid.get_aspect() # True by default for ImageGrid
for ax, cax in zip(grid, grid.cbar_axes):
im = ax.imshow(imdata, interpolation='none')
cax.colorbar(im)
@image_comparison(['image_grid_single_bottom_label_mode_1.png'], style='mpl20',
savefig_kwarg={'bbox_inches': 'tight'})
def test_image_grid_single_bottom():
imdata = np.arange(100).reshape((10, 10))
fig = plt.figure(1, (2.5, 1.5))
grid = ImageGrid(fig, (0, 0, 1, 1), nrows_ncols=(1, 3),
axes_pad=(0.2, 0.15), cbar_mode="single", cbar_pad=0.3,
cbar_location="bottom", cbar_size="10%", label_mode="1")
# 4-tuple rect => Divider, isinstance will give True for SubplotDivider
assert type(grid.get_divider()) is Divider
for i in range(3):
im = grid[i].imshow(imdata, interpolation='none')
grid.cbar_axes[0].colorbar(im)
def test_image_grid_label_mode_invalid():
fig = plt.figure()
with pytest.raises(ValueError, match="'foo' is not a valid value for mode"):
ImageGrid(fig, (0, 0, 1, 1), (2, 1), label_mode="foo")
@image_comparison(['image_grid.png'],
remove_text=True, style='mpl20',
savefig_kwarg={'bbox_inches': 'tight'})
def test_image_grid():
# test that image grid works with bbox_inches=tight.
im = np.arange(100).reshape((10, 10))
fig = plt.figure(1, (4, 4))
grid = ImageGrid(fig, 111, nrows_ncols=(2, 2), axes_pad=0.1)
assert grid.get_axes_pad() == (0.1, 0.1)
for i in range(4):
grid[i].imshow(im, interpolation='nearest')
def test_gettightbbox():
fig, ax = plt.subplots(figsize=(8, 6))
l, = ax.plot([1, 2, 3], [0, 1, 0])
ax_zoom = zoomed_inset_axes(ax, 4)
ax_zoom.plot([1, 2, 3], [0, 1, 0])
mark_inset(ax, ax_zoom, loc1=1, loc2=3, fc="none", ec='0.3')
remove_ticks_and_titles(fig)
bbox = fig.get_tightbbox(fig.canvas.get_renderer())
np.testing.assert_array_almost_equal(bbox.extents,
[-17.7, -13.9, 7.2, 5.4])
@pytest.mark.parametrize("click_on", ["big", "small"])
@pytest.mark.parametrize("big_on_axes,small_on_axes", [
("gca", "gca"),
("host", "host"),
("host", "parasite"),
("parasite", "host"),
("parasite", "parasite")
])
def test_picking_callbacks_overlap(big_on_axes, small_on_axes, click_on):
"""Test pick events on normal, host or parasite axes."""
# Two rectangles are drawn and "clicked on", a small one and a big one
# enclosing the small one. The axis on which they are drawn as well as the
# rectangle that is clicked on are varied.
# In each case we expect that both rectangles are picked if we click on the
# small one and only the big one is picked if we click on the big one.
# Also tests picking on normal axes ("gca") as a control.
big = plt.Rectangle((0.25, 0.25), 0.5, 0.5, picker=5)
small = plt.Rectangle((0.4, 0.4), 0.2, 0.2, facecolor="r", picker=5)
# Machinery for "receiving" events
received_events = []
def on_pick(event):
received_events.append(event)
plt.gcf().canvas.mpl_connect('pick_event', on_pick)
# Shortcut
rectangles_on_axes = (big_on_axes, small_on_axes)
# Axes setup
axes = {"gca": None, "host": None, "parasite": None}
if "gca" in rectangles_on_axes:
axes["gca"] = plt.gca()
if "host" in rectangles_on_axes or "parasite" in rectangles_on_axes:
axes["host"] = host_subplot(111)
axes["parasite"] = axes["host"].twin()
# Add rectangles to axes
axes[big_on_axes].add_patch(big)
axes[small_on_axes].add_patch(small)
# Simulate picking with click mouse event
if click_on == "big":
click_axes = axes[big_on_axes]
axes_coords = (0.3, 0.3)
else:
click_axes = axes[small_on_axes]
axes_coords = (0.5, 0.5)
# In reality mouse events never happen on parasite axes, only host axes
if click_axes is axes["parasite"]:
click_axes = axes["host"]
(x, y) = click_axes.transAxes.transform(axes_coords)
m = MouseEvent("button_press_event", click_axes.get_figure(root=True).canvas, x, y,
button=1)
click_axes.pick(m)
# Checks
expected_n_events = 2 if click_on == "small" else 1
assert len(received_events) == expected_n_events
event_rects = [event.artist for event in received_events]
assert big in event_rects
if click_on == "small":
assert small in event_rects
@image_comparison(['anchored_artists.png'], remove_text=True, style='mpl20')
def test_anchored_artists():
fig, ax = plt.subplots(figsize=(3, 3))
ada = AnchoredDrawingArea(40, 20, 0, 0, loc='upper right', pad=0.,
frameon=False)
p1 = Circle((10, 10), 10)
ada.drawing_area.add_artist(p1)
p2 = Circle((30, 10), 5, fc="r")
ada.drawing_area.add_artist(p2)
ax.add_artist(ada)
box = AnchoredAuxTransformBox(ax.transData, loc='upper left')
el = Ellipse((0, 0), width=0.1, height=0.4, angle=30, color='cyan')
box.drawing_area.add_artist(el)
ax.add_artist(box)
# This block used to test the AnchoredEllipse class, but that was removed. The block
# remains, though it duplicates the above ellipse, so that the test image doesn't
# need to be regenerated.
box = AnchoredAuxTransformBox(ax.transData, loc='lower left', frameon=True,
pad=0.5, borderpad=0.4)
el = Ellipse((0, 0), width=0.1, height=0.25, angle=-60)
box.drawing_area.add_artist(el)
ax.add_artist(box)
asb = AnchoredSizeBar(ax.transData, 0.2, r"0.2 units", loc='lower right',
pad=0.3, borderpad=0.4, sep=4, fill_bar=True,
frameon=False, label_top=True, prop={'size': 20},
size_vertical=0.05, color='green')
ax.add_artist(asb)
def test_hbox_divider():
arr1 = np.arange(20).reshape((4, 5))
arr2 = np.arange(20).reshape((5, 4))
fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.imshow(arr1)
ax2.imshow(arr2)
pad = 0.5 # inches.
divider = HBoxDivider(
fig, 111, # Position of combined axes.
horizontal=[Size.AxesX(ax1), Size.Fixed(pad), Size.AxesX(ax2)],
vertical=[Size.AxesY(ax1), Size.Scaled(1), Size.AxesY(ax2)])
ax1.set_axes_locator(divider.new_locator(0))
ax2.set_axes_locator(divider.new_locator(2))
fig.canvas.draw()
p1 = ax1.get_position()
p2 = ax2.get_position()
assert p1.height == p2.height
assert p2.width / p1.width == pytest.approx((4 / 5) ** 2)
def test_vbox_divider():
arr1 = np.arange(20).reshape((4, 5))
arr2 = np.arange(20).reshape((5, 4))
fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.imshow(arr1)
ax2.imshow(arr2)
pad = 0.5 # inches.
divider = VBoxDivider(
fig, 111, # Position of combined axes.
horizontal=[Size.AxesX(ax1), Size.Scaled(1), Size.AxesX(ax2)],
vertical=[Size.AxesY(ax1), Size.Fixed(pad), Size.AxesY(ax2)])
ax1.set_axes_locator(divider.new_locator(0))
ax2.set_axes_locator(divider.new_locator(2))
fig.canvas.draw()
p1 = ax1.get_position()
p2 = ax2.get_position()
assert p1.width == p2.width
assert p1.height / p2.height == pytest.approx((4 / 5) ** 2)
def test_axes_class_tuple():
fig = plt.figure()
axes_class = (mpl_toolkits.axes_grid1.mpl_axes.Axes, {})
gr = AxesGrid(fig, 111, nrows_ncols=(1, 1), axes_class=axes_class)
def test_grid_axes_lists():
"""Test Grid axes_all, axes_row and axes_column relationship."""
fig = plt.figure()
grid = Grid(fig, 111, (2, 3), direction="row")
assert_array_equal(grid, grid.axes_all)
assert_array_equal(grid.axes_row, np.transpose(grid.axes_column))
assert_array_equal(grid, np.ravel(grid.axes_row), "row")
assert grid.get_geometry() == (2, 3)
grid = Grid(fig, 111, (2, 3), direction="column")
assert_array_equal(grid, np.ravel(grid.axes_column), "column")
@pytest.mark.parametrize('direction', ('row', 'column'))
def test_grid_axes_position(direction):
"""Test positioning of the axes in Grid."""
fig = plt.figure()
grid = Grid(fig, 111, (2, 2), direction=direction)
loc = [ax.get_axes_locator() for ax in np.ravel(grid.axes_row)]
# Test nx.
assert loc[1].args[0] > loc[0].args[0]
assert loc[0].args[0] == loc[2].args[0]
assert loc[3].args[0] == loc[1].args[0]
# Test ny.
assert loc[2].args[1] < loc[0].args[1]
assert loc[0].args[1] == loc[1].args[1]
assert loc[3].args[1] == loc[2].args[1]
@pytest.mark.parametrize('rect, ngrids, error, message', (
((1, 1), None, TypeError, "Incorrect rect format"),
(111, -1, ValueError, "ngrids must be positive"),
(111, 7, ValueError, "ngrids must be positive"),
))
def test_grid_errors(rect, ngrids, error, message):
fig = plt.figure()
with pytest.raises(error, match=message):
Grid(fig, rect, (2, 3), ngrids=ngrids)
@pytest.mark.parametrize('anchor, error, message', (
(None, TypeError, "anchor must be str"),
("CC", ValueError, "'CC' is not a valid value for anchor"),
((1, 1, 1), TypeError, "anchor must be str"),
))
def test_divider_errors(anchor, error, message):
fig = plt.figure()
with pytest.raises(error, match=message):
Divider(fig, [0, 0, 1, 1], [Size.Fixed(1)], [Size.Fixed(1)],
anchor=anchor)
@check_figures_equal(extensions=["png"])
def test_mark_inset_unstales_viewlim(fig_test, fig_ref):
inset, full = fig_test.subplots(1, 2)
full.plot([0, 5], [0, 5])
inset.set(xlim=(1, 2), ylim=(1, 2))
# Check that mark_inset unstales full's viewLim before drawing the marks.
mark_inset(full, inset, 1, 4)
inset, full = fig_ref.subplots(1, 2)
full.plot([0, 5], [0, 5])
inset.set(xlim=(1, 2), ylim=(1, 2))
mark_inset(full, inset, 1, 4)
# Manually unstale the full's viewLim.
fig_ref.canvas.draw()
def test_auto_adjustable():
fig = plt.figure()
ax = fig.add_axes([0, 0, 1, 1])
pad = 0.1
make_axes_area_auto_adjustable(ax, pad=pad)
fig.canvas.draw()
tbb = ax.get_tightbbox()
assert tbb.x0 == pytest.approx(pad * fig.dpi)
assert tbb.x1 == pytest.approx(fig.bbox.width - pad * fig.dpi)
assert tbb.y0 == pytest.approx(pad * fig.dpi)
assert tbb.y1 == pytest.approx(fig.bbox.height - pad * fig.dpi)
# Update style when regenerating the test image
@image_comparison(['rgb_axes.png'], remove_text=True,
style=('classic', '_classic_test_patch'))
def test_rgb_axes():
fig = plt.figure()
ax = RGBAxes(fig, (0.1, 0.1, 0.8, 0.8), pad=0.1)
rng = np.random.default_rng(19680801)
r = rng.random((5, 5))
g = rng.random((5, 5))
b = rng.random((5, 5))
ax.imshow_rgb(r, g, b, interpolation='none')
# The original version of this test relied on mpl_toolkits's slightly different
# colorbar implementation; moving to matplotlib's own colorbar implementation
# caused the small image comparison error.
@image_comparison(['imagegrid_cbar_mode.png'],
remove_text=True, style='mpl20', tol=0.3)
def test_imagegrid_cbar_mode_edge():
arr = np.arange(16).reshape((4, 4))
fig = plt.figure(figsize=(18, 9))
positions = (241, 242, 243, 244, 245, 246, 247, 248)
directions = ['row']*4 + ['column']*4
cbar_locations = ['left', 'right', 'top', 'bottom']*2
for position, direction, location in zip(
positions, directions, cbar_locations):
grid = ImageGrid(fig, position,
nrows_ncols=(2, 2),
direction=direction,
cbar_location=location,
cbar_size='20%',
cbar_mode='edge')
ax1, ax2, ax3, ax4 = grid
ax1.imshow(arr, cmap='nipy_spectral')
ax2.imshow(arr.T, cmap='hot')
ax3.imshow(np.hypot(arr, arr.T), cmap='jet')
ax4.imshow(np.arctan2(arr, arr.T), cmap='hsv')
# In each row/column, the "first" colorbars must be overwritten by the
# "second" ones. To achieve this, clear out the axes first.
for ax in grid:
ax.cax.cla()
cb = ax.cax.colorbar(ax.images[0])
def test_imagegrid():
fig = plt.figure()
grid = ImageGrid(fig, 111, nrows_ncols=(1, 1))
ax = grid[0]
im = ax.imshow([[1, 2]], norm=mpl.colors.LogNorm())
cb = ax.cax.colorbar(im)
assert isinstance(cb.locator, mticker.LogLocator)
def test_removal():
import matplotlib.pyplot as plt
import mpl_toolkits.axisartist as AA
fig = plt.figure()
ax = host_subplot(111, axes_class=AA.Axes, figure=fig)
col = ax.fill_between(range(5), 0, range(5))
fig.canvas.draw()
col.remove()
fig.canvas.draw()
@image_comparison(['anchored_locator_base_call.png'], style="mpl20")
def test_anchored_locator_base_call():
fig = plt.figure(figsize=(3, 3))
fig1, fig2 = fig.subfigures(nrows=2, ncols=1)
ax = fig1.subplots()
ax.set(aspect=1, xlim=(-15, 15), ylim=(-20, 5))
ax.set(xticks=[], yticks=[])
Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
extent = (-3, 4, -4, 3)
axins = zoomed_inset_axes(ax, zoom=2, loc="upper left")
axins.set(xticks=[], yticks=[])
axins.imshow(Z, extent=extent, origin="lower")
def test_grid_with_axes_class_not_overriding_axis():
Grid(plt.figure(), 111, (2, 2), axes_class=mpl.axes.Axes)
RGBAxes(plt.figure(), 111, axes_class=mpl.axes.Axes)
|