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Commit fc3365b

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kushalkolarkushalkolar
committed
Merge branch 'master' into high-level-widgets
2 parents afc0378 + daf6984 commit fc3365b
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108 files changed

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-357
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‎examples/gridplot.ipynb

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+63-37Lines changed: 63 additions & 37 deletions
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‎examples/gridplot_simple.ipynb

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+209-21Lines changed: 209 additions & 21 deletions
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‎examples/gridplot_simple.py

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import numpy as np
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from wgpu.gui.auto import WgpuCanvas
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import pygfx as gfx
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from fastplotlib.layouts import GridPlot
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from fastplotlib.graphics import ImageGraphic, LineGraphic, HistogramGraphic
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from fastplotlib import run
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from math import sin, cos, radians
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# GridPlot of shape 2 x 3
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grid_plot = GridPlot(shape=(2, 3))
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image_graphics = list()
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hist_data1 = np.random.normal(0, 256, 2048)
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hist_data2 = np.random.poisson(0, 256)
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# Make a random image graphic for each subplot
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for i, subplot in enumerate(grid_plot):
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img = np.random.rand(512, 512) * 255
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ig = ImageGraphic(data=img, vmin=0, vmax=255, cmap='gnuplot2')
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image_graphics.append(ig)
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# add the graphic to the subplot
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subplot.add_graphic(ig)
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histogram = HistogramGraphic(data=hist_data1, bins=100)
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histogram.world_object.rotation.w = cos(radians(45))
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histogram.world_object.rotation.z = sin(radians(45))
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histogram.world_object.scale.y = 1
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histogram.world_object.scale.x = 8
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for dv_position in ["right", "top", "bottom", "left"]:
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h2 = HistogramGraphic(data=hist_data1, bins=100)
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subplot.docked_viewports[dv_position].size = 60
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subplot.docked_viewports[dv_position].add_graphic(h2)
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#
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# Define a function to update the image graphics
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# with new randomly generated data
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def set_random_frame():
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for ig in image_graphics:
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new_data = np.random.rand(512, 512) * 255
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ig.update_data(data=new_data)
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# add the animation
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# grid_plot.add_animations(set_random_frame)
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grid_plot.show()
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run()

‎examples/histogram.ipynb

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"outputs": [],
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"source": [
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"import numpy as np\n",
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"from matplotlib import pyplot as plt\n",
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"from fastplotlib import Plot, Histogram"
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"from fastplotlib import Plot"
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]
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},
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{
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "c2adf222a2fb4b5cab43c24aa9729a1a",
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"model_id": "bfd22d77d24549128dd925e4114c929e",
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"version_major": 2,
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"version_minor": 0
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},
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/kushal/Insync/kushalkolar@gmail.com/drive/repos/pygfx/pygfx/geometries/_plane.py:19: RuntimeWarning: invalid value encountered in true_divide\n",
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"/home/kushal/python-venvs/mescore/lib/python3.10/site-packages/pygfx/geometries/_plane.py:19: RuntimeWarning: invalid value encountered in true_divide\n",
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" texcoords = (positions[..., :2] + dim / 2) / dim\n"
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]
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},
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{
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"data": {
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src='data:image/png;base64,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' style='width:500.0px;height:300.0px;' /><div style='position: absolute; top:0; left:0; padding:1px 3px; background: #777; color:#fff; font-size: 90%; font-family:sans-serif; '>initial snapshot</div></div>"
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],
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"text/plain": [
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"<jupyter_rfb._utils.Snapshot object>"
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "6b60165554804f6da43ad1b40f9baffa",
72+
"model_id": "36e4fff0aa7a4fc993c70f7cfc2aaf4a",
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"version_major": 2,
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"version_minor": 0
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.2"
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"version": "3.10.5"
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}
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},
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"nbformat": 4,

‎examples/lineplot.ipynb

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+27-15Lines changed: 27 additions & 15 deletions
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‎examples/scatter.ipynb

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+26-11Lines changed: 26 additions & 11 deletions
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‎examples/simple.ipynb

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+82-40Lines changed: 82 additions & 40 deletions
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‎fastplotlib/__init__.py

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+1-3Lines changed: 1 addition & 3 deletions
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@@ -1,8 +1,6 @@
1-
from .graphics import *
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from .layouts import GridPlot
3-
from .subplot import Subplot
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from .plot import Plot
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from pathlib import Path
3+
from wgpu.gui.auto import run
64

75

86
with open(Path(__file__).parent.joinpath("VERSION"), "r") as f:

‎fastplotlib/graphics/__init__.py

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+6-6Lines changed: 6 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -1,7 +1,7 @@
1-
from .histogram import Histogram
2-
from .line import Line
3-
from .scatter import Scatter
4-
from .image import Image
5-
from .heatmap import Heatmap
1+
from .histogram import HistogramGraphic
2+
from .line import LineGraphic
3+
from .scatter import ScatterGraphic
4+
from .image import ImageGraphic
5+
from .heatmap import HeatmapGraphic
66

7-
__all__ = ["Image", "Scatter", "Line", "Histogram", "Heatmap"]
7+
__all__ = ["ImageGraphic", "ScatterGraphic", "LineGraphic", "HistogramGraphic", "HeatmapGraphic"]

‎fastplotlib/graphics/heatmap.py

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+2-2Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -1,7 +1,7 @@
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import numpy as np
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import pygfx
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from typing import *
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from .image import Image
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from .image import ImageGraphic
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from ..utils import quick_min_max, get_cmap_texture
77

@@ -40,7 +40,7 @@ def __init__(
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self.callbacks = callbacks
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class Heatmap(Image):
43+
class HeatmapGraphic(ImageGraphic):
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def __init__(
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self,
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data: np.ndarray,

‎fastplotlib/graphics/histogram.py

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+2-2Lines changed: 2 additions & 2 deletions
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@@ -14,7 +14,7 @@ def __int__(self, *args, **kwargs):
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self.frequency: Union[int, float] = None
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class Histogram(Graphic):
17+
class HistogramGraphic(Graphic):
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def __init__(
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self,
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data: np.ndarray = None,
@@ -57,7 +57,7 @@ def __init__(
5757

5858
data = np.vstack([x_positions_bins, self.hist])
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60-
super(Histogram, self).__init__(data=data, colors=colors, colors_length=n_bins, **kwargs)
60+
super(HistogramGraphic, self).__init__(data=data, colors=colors, colors_length=n_bins, **kwargs)
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6262
self.world_object: pygfx.Group = pygfx.Group()
6363

‎fastplotlib/graphics/image.py

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+2-1Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -7,7 +7,7 @@
77
from ..utils import quick_min_max, get_cmap_texture
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class Image(Graphic):
10+
class ImageGraphic(Graphic):
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def __init__(
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self,
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data: np.ndarray,
@@ -44,4 +44,5 @@ def update_data(self, data: np.ndarray):
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def update_cmap(self, cmap: str, alpha: float = 1.0):
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self.world_object.material.map = get_cmap_texture(name=cmap)
47+
self.world_object.geometry.grid.update_range((0, 0, 0), self.world_object.geometry.grid.size)
4748

‎fastplotlib/graphics/line.py

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+3-3Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -4,9 +4,9 @@
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from ._base import Graphic
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class Line(Graphic):
7+
class LineGraphic(Graphic):
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def __init__(self, data: np.ndarray, zlevel: float = None, size: float = 2.0, colors: np.ndarray = None, cmap: str = None, *args, **kwargs):
9-
super(Line, self).__init__(data, colors=colors, cmap=cmap, *args, **kwargs)
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super(LineGraphic, self).__init__(data, colors=colors, cmap=cmap, *args, **kwargs)
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self.zlevel = zlevel
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self.world_object.geometry.positions.update_range()
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def update_colors(self, colors: np.ndarray):
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super(Line, self)._set_colors(colors=colors, colors_length=self.data.shape[0], cmap=None, alpha=None)
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super(LineGraphic, self)._set_colors(colors=colors, colors_length=self.data.shape[0], cmap=None, alpha=None)
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self.world_object.geometry.colors.data[:] = self.colors
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self.world_object.geometry.colors.update_range()

‎fastplotlib/graphics/scatter.py

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from ._base import Graphic
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class Scatter(Graphic):
9+
class ScatterGraphic(Graphic):
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def __init__(self, data: np.ndarray, zlevel: float = None, size: int = 1, colors: np.ndarray = None, cmap: str = None, *args, **kwargs):
11-
super(Scatter, self).__init__(data, colors=colors, cmap=cmap, *args, **kwargs)
11+
super(ScatterGraphic, self).__init__(data, colors=colors, cmap=cmap, *args, **kwargs)
1212

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if self.data.ndim == 1:
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# assume single 3D point

‎fastplotlib/layouts/__init__.py

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+5Lines changed: 5 additions & 0 deletions
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1+
from ._gridplot import GridPlot
2+
3+
__all__ = [
4+
"GridPlot"
5+
]

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