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GeezerVison is showing github.com — PlotPy/plotpy/items/image/base.py at master · PlotPyStack/PlotPy Expand file tree/ Copy pathbase.pyMore file actions 1770 lines (1495 loc) · 59.3 KB / Copy pathbase.pyFile metadata and controls1770 lines (1495 loc) · 59.3 KB 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 # -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) from __future__ import annotations import math import os import os.path as osp import weakref from collections import OrderedDict from collections.abc import Callable from typing import TYPE_CHECKING, Any import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from qwt import QwtLinearScaleEngine, QwtPlotItem from plotpy import io from plotpy._scaler import ( INTERP_AA, INTERP_LINEAR, INTERP_NEAREST, _histogram, _scale_rect, ) from plotpy.config import CONF, _ from plotpy.constants import LUT_MAX, LUT_SIZE, LUTAlpha from plotpy.coords import pixelround from plotpy.interfaces import ( IBaseImageItem, IBasePlotItem, IColormapImageItemType, ICSImageItemType, IExportROIImageItemType, IHistDataSource, IImageItemType, ISerializableType, ITrackableItemType, IVoiImageItemType, ) # do not import rectangleshape from plotpy.items directly from plotpy.items.shape.rectangle import RectangleShape from plotpy.lutrange import lut_range_threshold from plotpy.mathutils.arrayfuncs import get_nan_range from plotpy.mathutils.colormap import FULLRANGE, get_cmap from plotpy.styles.image import RawImageParam from plotpy.widgets.colormap.widget import EditableColormap if TYPE_CHECKING: import guidata.io import qwt.color_map import qwt.scale_map from qtpy.QtCore import QPointF, QRectF from qtpy.QtGui import QColor, QPainter from plotpy.interfaces import IItemType from plotpy.plot import BasePlot from plotpy.styles.base import ItemParameters #: Lookup tables already computed by :func:`_get_colormap_lut`, most recent last _LUT_CACHE: OrderedDict[tuple, tuple[tuple[int, ...], np.ndarray]] = OrderedDict() _LUT_CACHE_SIZE = 32 def _lut_cache_key( table: EditableColormap, alpha: float, alpha_function: int ) -> tuple | None: """Return the key identifying the lookup table of a colormap, if cacheable. The key is built from the colormap content (not its identity), so that an edited colormap gets a new lookup table. Args: table: Colormap alpha: Global alpha value alpha_function: Alpha function (see :class:`plotpy.constants.LUTAlpha`) Returns: Cache key, or None if the lookup table must be computed: colormap subclasses may compute colors differently, and the colors of translucent stops depend on the order in which the stops were inserted. """ if type(table) is not EditableColormap: return None stops = tuple((stop.pos, stop.rgb) for stop in table.colorStops()) if any(stop.a != 255 for stop in table.colorStops()): return None return (stops, table.mode(), table.invert, alpha, alpha_function) def _compute_colormap_lut( table: EditableColormap, alpha: float, alpha_function: int ) -> tuple[tuple[int, ...], np.ndarray]: """Compute the color table and the lookup table of a colormap. Args: table: Colormap alpha: Global alpha value alpha_function: Alpha function (see :class:`plotpy.constants.LUTAlpha`) Returns: Color table (256 colors) and lookup table (``LUT_SIZE`` ARGB values) """ colors = tuple(table.colorTable(FULLRANGE)) lut = np.zeros((LUT_SIZE,), np.uint32) for i in range(LUT_SIZE): if alpha_function == LUTAlpha.NONE.value: pix_alpha = 1.0 elif alpha_function == LUTAlpha.CONSTANT.value: pix_alpha = alpha else: x = i / float(LUT_SIZE - 1) if alpha_function == LUTAlpha.LINEAR.value: # Linear alpha function pix_alpha = alpha * x elif alpha_function == LUTAlpha.SIGMOID.value: # Sigmoid alpha function pix_alpha = alpha / (1 + np.exp(-10 * x)) elif alpha_function == LUTAlpha.TANH.value: # Hyperbolic tangent alpha function pix_alpha = alpha * np.tanh(5 * x) elif alpha_function == LUTAlpha.STEP.value: # Fully transparent lowest value and `alpha` transparent elsewhere pix_alpha = alpha if x > 0 else 0 else: raise ValueError(f"Invalid alpha function {alpha_function}") # pylint: disable=too-many-function-args alpha_channel = max(min(np.uint32(255 * pix_alpha + 0.5), 255), 0) << 24 lut[i] = ( np.uint32((table.rgb(FULLRANGE, i / LUT_MAX)) & 0xFFFFFF) | alpha_channel ) return colors, lut def _get_colormap_lut( table: EditableColormap, alpha: float, alpha_function: int ) -> tuple[tuple[int, ...], np.ndarray]: """Return the color table and the lookup table of a colormap. Computing them takes more than 1000 calls to the colormap: they are cached, since every new image item usually shows the same colormap. Args: table: Colormap alpha: Global alpha value alpha_function: Alpha function (see :class:`plotpy.constants.LUTAlpha`) Returns: Color table (256 colors) and lookup table (``LUT_SIZE`` ARGB values), the latter being read-only """ key = _lut_cache_key(table, alpha, alpha_function) if key is not None and key in _LUT_CACHE: _LUT_CACHE.move_to_end(key) return _LUT_CACHE[key] colors, lut = _compute_colormap_lut(table, alpha, alpha_function) lut.flags.writeable = False if key is not None: _LUT_CACHE[key] = (colors, lut) if len(_LUT_CACHE) > _LUT_CACHE_SIZE: _LUT_CACHE.popitem(last=False) return colors, lut def get_offscreen_ratio(painter: QPainter) -> float: """Return the resolution at which image items are rendered before being drawn with the given painter, in pixels per canvas pixel. Images are rendered at the resolution of the paint device, e.g. 1.25 or 2 pixels per canvas pixel with a 125% or 200% screen scaling, instead of being upscaled from the canvas resolution, which takes more time (up to about 4 times with a 200% screen scaling). Images are rendered at the canvas resolution when printing or exporting with a scaling (or rotating) painter transform, or when the ``image/device_resolution`` option of the ``plot`` configuration section is disabled. Args: painter: Painter Returns: Resolution, in pixels per canvas pixel """ world = painter.worldTransform() if ( world.isScaling() or world.isRotating() or not CONF.get("plot", "image/device_resolution", True) ): return 1.0 ratio = abs(painter.deviceTransform().m11()) return ratio if ratio > 0.0 else 1.0 def reusable_rendering(draw_image: Callable) -> Callable: """Decorator marking a ``draw_image`` method whose rendering may be reused The decorated method must only draw with :meth:`BaseImageItem._draw_offscreen`, from offscreen images which are only modified when the item is rendered. The rendering may then be drawn again without being computed when the plot is redrawn with :meth:`.BasePlot.replot_overlays` (e.g. while moving a shape over the image). Args: draw_image: ``draw_image`` method Returns: The same method """ draw_image.reusable_rendering = True return draw_image class _RenderKey: """Key of the rendering of an image item (see :func:`reusable_rendering`) The key is made of values, compared by equality, and of objects (e.g. data arrays), compared by identity. The objects are referenced weakly, so that they are not kept alive by the key: an object which does not exist anymore does not match any object, even another one with the same ``id``. Args: values: Values objects: Objects (arrays or None) """ __slots__ = ("values", "refs") def __init__(self, values: tuple, objects: tuple[np.ndarray | None, ...]) -> None: self.values = values self.refs = tuple(None if obj is None else weakref.ref(obj) for obj in objects) def __eq__(self, other: object) -> bool: if not isinstance(other, _RenderKey) or self.values != other.values: return False if len(self.refs) != len(other.refs): return False for ref, other_ref in zip(self.refs, other.refs): if ref is None or other_ref is None: if ref is not other_ref: return False elif ref() is None or ref() is not other_ref(): return False return True __hash__ = None class BaseImageItem(QwtPlotItem): """Base class for image items Args: data: Image data param: Image parameters """ __implements__ = ( IBasePlotItem, IBaseImageItem, IHistDataSource, IVoiImageItemType, ICSImageItemType, IExportROIImageItemType, ) _can_select = True _can_resize = False _can_move = False _can_rotate = False _readonly = False _private = False _icon_name = "plotpy:image.svg" #: True if the item supports the Z-axis logarithmic scale, i.e. if it draws #: its data through :meth:`_get_display_data` (see :meth:`supports_zaxis_log`) _ZAXIS_LOG_SUPPORTED = False def __init__( self, data: np.ndarray | None = None, param: Any | None = None ) -> None: super().__init__() self.bg_qcolor = QG.QColor() self.bounds = QC.QRectF() # BaseImageItem needs: # param.background # param.alpha_function # param.alpha # param.colormap if param is None: param = self.get_default_param() self.param = param self.selected = False self.data: np.ndarray | None = None # Z-axis logarithmic scale support: the LUT range (`min`, `max`) is always # expressed in data units, only the color mapping is logarithmic self._log_data: np.ndarray | None = None self._log_floor = 1.0 self._lin_lut_range: tuple[float, float] | None = None self._is_zaxis_log = False self.min = 0.0 self.max = 1.0 self.cmap_table = None self.cmap = None self.colormap_axis = None self._image: QG.QImage | None = None self._offscreen = np.array((1, 1), np.uint32) #: Resolution of the offscreen image, in pixels per canvas pixel self._offscreen_ratio = 1.0 #: Offscreen images and rectangles drawn by the last rendering of the item self._offscreen_draws: list[tuple[QG.QImage, tuple[int, int, int, int]]] = [] #: Key of the last rendering of the item (see `_get_render_key`) self._render_key: _RenderKey | None = None # Linear interpolation is the default interpolation algorithm: # it's almost as fast as 'nearest pixel' method but far smoother self.interpolate = None self.set_interpolation(INTERP_LINEAR) x1, y1 = self.bounds.left(), self.bounds.top() x2, y2 = self.bounds.right(), self.bounds.bottom() self.border_rect = RectangleShape(x1, y1, x2, y2) self.border_rect.set_style("plot", "shape/imageborder") # A, B, Background, Colormap self.lut = (1.0, 0.0, None, np.zeros((LUT_SIZE,), np.uint32)) self.set_lut_range((0.0, 255.0)) self.setItemAttribute(QwtPlotItem.AutoScale) self.setItemAttribute(QwtPlotItem.Legend, True) self._filename = None # The file this image comes from self.histogram_cache = None if data is not None: self.set_data(data) self.param.update_item(self) # ---- Public API ---------------------------------------------------------- def get_default_param(self) -> Any: """Return instance of the default image param DataSet""" raise NotImplementedError def set_filename(self, fname: str) -> None: """Set the filename of the image Args: fname: Filename """ self._filename = fname def get_filename(self) -> str | None: """Get the filename of the image Returns: Filename """ fname = self._filename if fname is not None and not osp.isfile(fname): other_try = osp.join(os.getcwd(), osp.basename(fname)) if osp.isfile(other_try): self.set_filename(other_try) fname = other_try return fname def get_filter(self, filterobj, filterparam): """Provides a filter object over this image's content""" raise NotImplementedError def get_pixel_coordinates(self, xplot: float, yplot: float) -> tuple[float, float]: """Get pixel coordinates from plot coordinates Args: xplot: X plot coordinate yplot: Y plot coordinate Returns: Pixel coordinates """ return xplot, yplot def get_plot_coordinates(self, xpixel: float, ypixel: float) -> tuple[float, float]: """Get plot coordinates from pixel coordinates Args: xpixel: X pixel coordinate ypixel: Y pixel coordinate Returns: Plot coordinates """ return xpixel, ypixel def get_closest_indexes( self, x: float, y: float, corner: str | None = None ) -> tuple[int, int]: """Get closest image pixel indexes to the given coordinates Args: x: X coordinate y: Y coordinate corner: None (not a corner), 'TL' (top-left corner), 'BR' (bottom-right corner) Returns: Closest image pixel indexes """ x, y = self.get_pixel_coordinates(x, y) i_max = self.data.shape[1] - 1 j_max = self.data.shape[0] - 1 if corner == "BR": i_max += 1 j_max += 1 i = max([0, min([i_max, int(pixelround(x, corner))])]) j = max([0, min([j_max, int(pixelround(y, corner))])]) return i, j def get_closest_index_rect( self, x0: float, y0: float, x1: float, y1: float, avoid_empty: bool = True ) -> tuple[int, int, int, int]: """Get closest image rectangular pixel area index bounds, optionally avoid returning an empty rectangular area (return at least 1x1 pixel area) Args: x0: X coordinate of first point y0: Y coordinate of first point x1: X coordinate of second point y1: Y coordinate of second point avoid_empty: True to avoid returning an empty rectangular area. Defaults to True. Returns: Closest image rectangular pixel area index bounds compatible with direct array slicing (e.g., data[iy0:iy1, ix0:ix1]) .. note:: Avoid returning empty rectangular area (return 1x1 pixel area instead). Handle reversed/not-reversed Y-axis orientation. Indices are compatible with direct array slicing and match get_data behavior. """ ix0, iy0 = self.get_closest_indexes(x0, y0, corner="TL") # Use TL to avoid double +1 addition ix1, iy1 = self.get_closest_indexes(x1, y1, corner="TL") if ix0 > ix1: ix1, ix0 = ix0, ix1 if iy0 > iy1: iy1, iy0 = iy0, iy1 # Add +1 to bottom-right indices for slice compatibility (matches get_data) ix1 = min(ix1 + 1, self.data.shape[1]) iy1 = min(iy1 + 1, self.data.shape[0]) if ix0 == ix1 and avoid_empty: ix1 = min(ix1 + 1, self.data.shape[1]) if iy0 == iy1 and avoid_empty: iy1 = min(iy1 + 1, self.data.shape[0]) return ix0, iy0, ix1, iy1 def align_rectangular_shape(self, shape: RectangleShape) -> None: """Align rectangular shape to image pixels Args: shape: Shape to align """ ix0, iy0, ix1, iy1 = self.get_closest_index_rect(*shape.get_rect()) x0, y0 = self.get_plot_coordinates(ix0, iy0) x1, y1 = self.get_plot_coordinates(ix1, iy1) shape.set_rect(x0, y0, x1, y1) def get_closest_pixel_indexes(self, x: float, y: float) -> tuple[int, int]: """Get closest pixel indexes Args: x: X coordinate y: Y coordinate Returns: Closest pixel indexes .. note:: Instead of returning indexes of an image pixel like the method 'get_closest_indexes', this method returns the indexes of the closest pixel which is not necessarily on the image itself (i.e. indexes may be outside image index bounds: negative or superior than the image dimension) .. note:: This is *not* the same as retrieving the canvas pixel coordinates (which depends on the zoom level) """ x, y = self.get_pixel_coordinates(x, y) i = int(pixelround(x)) j = int(pixelround(y)) return i, j def get_x_values(self, i0: int, i1: int) -> np.ndarray: """Get X values from pixel indexes Args: i0: First index i1: Second index Returns: X values corresponding to the given pixel indexes """ return np.arange(i0, i1) def get_y_values(self, j0: int, j1: int) -> np.ndarray: """Get Y values from pixel indexes Args: j0: First index j1: Second index Returns: Y values corresponding to the given pixel indexes """ return np.arange(j0, j1) def get_r_values(self, i0, i1, j0, j1, flag_circle=False): """Get radial values from pixel indexes Args: i0: First index i1: Second index j0: Third index j1: Fourth index flag_circle: Flag circle (Default value = False) Returns: Radial values corresponding to the given pixel indexes """ return self.get_x_values(i0, i1) def _recompute_log_data(self) -> None: """Refresh the cached log10 data from the current ``self.data``. Used both when toggling the Z-axis log scale on and when the underlying data is replaced (e.g. via :meth:`set_data`) while the log scale is already active. Values lower than or equal to zero have no logarithm: they are replaced by the smallest positive value of the data (the "log floor", or 1.0 if there is no positive value), so that they are shown with the lowest color of the colormap. NaN values are kept. """ data = np.asarray(self.data) with np.errstate(invalid="ignore"): positive = data[data > 0] self._log_floor = float(positive.min()) if positive.size else 1.0 with np.errstate(invalid="ignore", divide="ignore"): self._log_data = np.log10( np.maximum(data, self._log_floor, dtype=np.float64) ) def _get_display_data(self) -> np.ndarray: """Return the data to which the LUT is applied when drawing the image Returns: Base-10 logarithm of the data if the Z-axis log scale is enabled, the data itself otherwise """ if self._is_zaxis_log: return self._log_data return self.data def _to_lut_space(self, values: np.ndarray) -> np.ndarray: """Convert data values to the space in which the LUT is applied Args: values: Data values Returns: Base-10 logarithm of the values (see :meth:`_recompute_log_data` for values lower than or equal to zero) if the Z-axis log scale is enabled, the values themselves otherwise """ if self._is_zaxis_log: with np.errstate(invalid="ignore", divide="ignore"): return np.log10(np.maximum(values, self._log_floor, dtype=np.float64)) return values def set_data( self, data: np.ndarray, lut_range: tuple[float, float] | None = None ) -> None: """Set image data Args: data: 2D NumPy array lut_range: LUT range -- tuple (levelmin, levelmax), in data units, even when the Z-axis log scale is enabled (Default value = None) """ self.data = data self.histogram_cache = None self.update_bounds() self.update_border() # Refresh the cached log10 data when log scale is active, otherwise the # display would keep using the previous (now stale) log data. if self._is_zaxis_log: self._recompute_log_data() # The new data may have another data type than the previous one self._sync_interpolation_dtype() if not self.param.keep_lut_range: if self._is_zaxis_log: # The linear LUT range, restored when the log scale is disabled, # is updated as it would have been without the log scale self._lin_lut_range = ( get_nan_range(data) if lut_range is None else tuple(lut_range) ) if lut_range is None: lut_range = self.get_lut_range_full() self.set_lut_range(lut_range) def get_data( self, x0: float, y0: float, x1: float | None = None, y1: float | None = None ) -> float | tuple[np.ndarray, np.ndarray, np.ndarray]: """Get image data Args: x0: X coordinate of first point y0: Y coordinate of first point x1: X coordinate of second point (Default value = None) y1: Y coordinate of second point (Default value = None) Returns: Image level, or image levels in rectangular area (x0,y0,x1,y1) as a tuple (x, y, data) of arrays """ i0, j0 = self.get_closest_indexes(x0, y0) if x1 is None or y1 is None: return self.data[j0, i0] else: i1, j1 = self.get_closest_indexes(x1, y1) i1 += 1 j1 += 1 return ( self.get_x_values(i0, i1), self.get_y_values(j0, j1), self.data[j0:j1, i0:i1], ) def get_closest_coordinates(self, x: float, y: float) -> tuple[float, float]: """ Get the closest coordinates to the given point Args: x: X coordinate y: Y coordinate Returns: tuple[float, float]: Closest coordinates """ return self.get_closest_indexes(x, y) def get_coordinates_label(self, x: float, y: float) -> str: """ Get the coordinates label for the given coordinates Args: x: X coordinate y: Y coordinate Returns: str: Coordinates label """ title = self.title().text() z = self.get_data(x, y) zstr = "--" if z is np.ma.masked else f"{z:g}" return f"{title}:<br>x = {int(x):d}<br>y = {int(y):d}<br>z = {zstr}" def set_background_color(self, qcolor: QColor | str) -> None: """Set background color Args: qcolor: Background color """ # mask = np.uint32(255*self.param.alpha+0.5).clip(0,255) << 24 self.bg_qcolor = qcolor a, b, _bg, cmap = self.lut if qcolor is None: self.lut = (a, b, None, cmap) else: self.lut = (a, b, np.uint32(QG.QColor(qcolor).rgb() & 0xFFFFFF), cmap) def set_color_map( self, name_or_table: str | EditableColormap, invert: bool | None = None ) -> None: """Set colormap Args: name_or_table: Colormap name or colormap invert: True to invert colormap, False otherwise (Default value = None, i.e. do not change the default behavior) """ if name_or_table is self.cmap_table: # This avoids rebuilding the LUT all the time return if isinstance(name_or_table, str): table = get_cmap(name_or_table) else: table = name_or_table if invert is not None: table.invert = invert self.cmap_table = table colors, lut = _get_colormap_lut( table, self.param.alpha, self.param.alpha_function ) self.cmap = list(colors) self.lut[3][:] = lut plot = self.plot() if plot: plot.update_colormap_axis(self) def get_color_map(self) -> EditableColormap | None: """Get colormap Returns: Colormap """ return self.cmap_table def set_interpolation(self, interp_mode: int, size: int | None = None) -> None: """Set interpolation mode Args: interp_mode: INTERP_NEAREST, INTERP_LINEAR, INTERP_AA size: (for anti-aliasing only) AA matrix size (Default value = None) """ if interp_mode in (INTERP_NEAREST, INTERP_LINEAR): self.interpolate = (interp_mode,) if interp_mode == INTERP_AA: # The kernel must have the same data type as the data drawn aa = np.ones((size, size), self._get_display_data().dtype) self.interpolate = (interp_mode, aa) def get_interpolation(self) -> tuple[int] | tuple[int, np.ndarray]: """Get interpolation mode""" return self.interpolate def _get_interpolation_for( self, data: np.ndarray ) -> tuple[int] | tuple[int, np.ndarray]: """Return the interpolation mode to be used to scale the given data The scaling functions require the anti-aliasing kernel to have the data type of the data they scale, which is not always the data drawn (e.g. the raw data, exported without the LUT, instead of its logarithm drawn with the Z-axis logarithmic scale). Args: data: Data to be scaled Returns: Interpolation mode, with an anti-aliasing kernel of the data type of the given data """ interp = self.interpolate if interp[0] == INTERP_AA and interp[1].dtype != data.dtype: interp = (INTERP_AA, interp[1].astype(data.dtype)) return interp def _sync_interpolation_dtype(self) -> None: """Give the anti-aliasing kernel the data type of the data drawn""" if self.data is not None: self.interpolate = self._get_interpolation_for(self._get_display_data()) def set_lut_range(self, lut_range: tuple[float, float]) -> None: """ Set the current active lut range Args: lut_range: Lut range, tuple(min, max), in data units (even when the Z-axis log scale is enabled: values lower than or equal to zero are then replaced by the smallest positive value of the data) Example: >>> item.set_lut_range((0.0, 1.0)) """ vmin, vmax = lut_range if self._is_zaxis_log: if vmax <= 0: vmax = self._log_floor if vmin <= 0: vmin = min(self._log_floor, vmax) self.min, self.max = vmin, vmax _a, _b, bg, cmap = self.lut if self._is_zaxis_log: lmin, lmax = np.log10(float(vmin)), np.log10(float(vmax)) else: lmin, lmax = self.min, self.max if lmax == lmin: self.lut = (LUT_MAX, lmin, bg, cmap) else: fmin, fmax = float(lmin), float(lmax) # avoid overflows self.lut = ( LUT_MAX / (fmax - fmin), -LUT_MAX * fmin / (fmax - fmin), bg, cmap, ) def get_lut_range(self) -> tuple[float, float]: """Get the current active lut range Returns: tuple[float, float]: Lut range, tuple(min, max), in data units """ return self.min, self.max def set_lut_threshold(self, threshold: float) -> None: """Set lut threshold value, eliminating the given percent of the histogram Args: threshold: Lut threshold value """ self.set_lut_range(lut_range_threshold(self, 256, threshold)) def get_lut_range_full(self) -> tuple[float, float]: """Return full dynamic range Returns: tuple[float, float]: Lut range, tuple(min, max), in data units. When the Z-axis log scale is enabled, the minimum is the smallest positive value of the data. """ vmin, vmax = get_nan_range(self.data) if self._is_zaxis_log: return self._log_floor, max(vmax, self._log_floor) return vmin, vmax # ---- Z-axis logarithmic scale -------------------------------------------- def supports_zaxis_log(self) -> bool: """Return True if the item supports the Z-axis logarithmic scale Items which do not support it (e.g. RGB images, which have no colormap) are ignored by :class:`.ZAxisLogTool`, and :meth:`set_zaxis_log_state` has no effect on them. """ return self._ZAXIS_LOG_SUPPORTED def get_zaxis_log_state(self) -> bool: """Return True if Z-axis is in logarithmic scale""" return self._is_zaxis_log def set_zaxis_log_state(self, state: bool) -> None: """Set Z-axis logarithmic scale state With the logarithmic scale, the colors are mapped to the base-10 logarithm of the data, whereas the LUT range (see :meth:`get_lut_range`), the color bar, the contrast adjustment panel and the cursor values remain in data units. Values lower than or equal to zero are shown with the lowest color of the colormap. Enabling the logarithmic scale sets the LUT range to the full range of the positive values of the data; disabling it restores the previous LUT range. Args: state: True to enable logarithmic scale, False otherwise """ state = bool(state) if not self.supports_zaxis_log() or state == self._is_zaxis_log: return if state: self._lin_lut_range = self.get_lut_range() self._is_zaxis_log = True if self.data is not None: self._recompute_log_data() self.set_lut_range(self.get_lut_range_full()) else: self._is_zaxis_log = False self._log_data = None self.set_lut_range(self._lin_lut_range) self._sync_interpolation_dtype() plot = self.plot() if plot is not None: plot.update_colormap_axis(self) def get_lut_range_max(self) -> tuple[float, float]: """Get maximum range for this dataset Returns: tuple[float, float]: Lut range, tuple(min, max) """ kind = self.data.dtype.kind if kind in np.typecodes["AllFloat"]: info = np.finfo(self.data.dtype) else: info = np.iinfo(self.data.dtype) return info.min, info.max def update_bounds(self) -> None: """Update image bounds to fit image shape""" if self.data is None: return self.bounds = QC.QRectF(0, 0, self.data.shape[1], self.data.shape[0]) def update_border(self) -> None: """Update image border rectangle to fit image shape""" bounds = self.boundingRect().getCoords() self.border_rect.set_rect(*bounds) def draw_border( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw image border rectangle Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ self.border_rect.draw(painter, xMap, yMap, canvasRect) def _has_linear_scales(self) -> bool: """Return True if the image axes of the plot have linear scales Returns: True if linear scales """ plot: BasePlot = self.plot() return isinstance( plot.axisScaleEngine(plot.X_BOTTOM), QwtLinearScaleEngine ) and isinstance(plot.axisScaleEngine(plot.Y_LEFT), QwtLinearScaleEngine) def warn_if_non_linear_scale(self, painter: QPainter, canvasRect: QRectF) -> bool: """Warn if non-linear scale Args: painter: Painter canvasRect: Canvas rectangle Returns: True if non-linear scale """ if not self._has_linear_scales(): painter.setPen(QC.Qt.red) painter.drawText( canvasRect, QC.Qt.AlignCenter, _("Non-linear scales are not supported for image items"), ) return True return False @reusable_rendering def draw_image( self, painter: QPainter, canvasRect: QRectF, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, ) -> None: """Draw image Args: painter: Painter canvasRect: Canvas rectangle src_rect: Source rectangle dst_rect: Destination rectangle xMap: X axis scale map yMap: Y axis scale map """ if self.warn_if_non_linear_scale(painter, canvasRect): return dest = _scale_rect( self._get_display_data(), src_rect, self._offscreen, self._offscreen_rect(dst_rect), self.lut, self.interpolate, ) self._draw_offscreen(painter, dest) def _offscreen_rect( self, rect: tuple[float, float, float, float] ) -> tuple[int, int, int, int]: """Convert a rectangle from canvas coordinates to offscreen image pixels Args: rect: Rectangle (x1, y1, x2, y2), in canvas coordinates Returns: |
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