From 40398b8b480ffd6a0ad715da67e00da1130618f0 Mon Sep 17 00:00:00 2001 From: Ian Hunt-Isaak Date: Mon, 23 Nov 2020 20:16:20 -0500 Subject: [PATCH 1/3] add iplt to devlop base --- examples/devlop/devlop-base.ipynb | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/examples/devlop/devlop-base.ipynb b/examples/devlop/devlop-base.ipynb index 774a9d6..e8a30d4 100644 --- a/examples/devlop/devlop-base.ipynb +++ b/examples/devlop/devlop-base.ipynb @@ -12,7 +12,8 @@ "import ipywidgets as widgets\n", "%load_ext autoreload\n", "%autoreload 2\n", - "from mpl_interactions import *" + "from mpl_interactions import *\n", + "import mpl_interactions.ipyplot as iplt" ] }, { @@ -39,7 +40,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.8" + "version": "3.9.0" } }, "nbformat": 4, From 7473340617c8093845e7f1c113d4924575996684 Mon Sep 17 00:00:00 2001 From: Ian Hunt-Isaak Date: Mon, 23 Nov 2020 21:32:19 -0500 Subject: [PATCH 2/3] allow saving animations over a single parameter --- .gitignore | 1 + docs/gifmaker.py | 5 + docs/index.rst | 1 + examples/animations.ipynb | 187 +++++++++++++++++++++++++++++++++ examples/freq-plot-1.gif | Bin 0 -> 3000321 bytes examples/freq-plot-2.gif | Bin 0 -> 1064689 bytes mpl_interactions/controller.py | 68 ++++++++++++ 7 files changed, 262 insertions(+) create mode 100644 examples/animations.ipynb create mode 100644 examples/freq-plot-1.gif create mode 100644 examples/freq-plot-2.gif diff --git a/.gitignore b/.gitignore index b5b3f0d..c88e4ab 100644 --- a/.gitignore +++ b/.gitignore @@ -142,4 +142,5 @@ autoapi # this is to enable the madness with adding gifs docs/examples/tidbits/*.ipynb docs/examples/*.ipynb +docs/examples/*.gif docs/*.ipynb \ No newline at end of file diff --git a/docs/gifmaker.py b/docs/gifmaker.py index 3dfdca8..74e2b38 100644 --- a/docs/gifmaker.py +++ b/docs/gifmaker.py @@ -2,6 +2,7 @@ import base64 import os import glob +import shutil def gogogo_all(source_dir, dest_dir): @@ -9,9 +10,13 @@ def gogogo_all(source_dir, dest_dir): copy and render all the notebooks from one dir to another """ notebooks = glob.glob(os.path.join(source_dir, "*.ipynb")) + gifs = glob.glob(os.path.join(source_dir, "*.gif")) for nb in notebooks: to = os.path.join(dest_dir, os.path.basename(nb)) gogogo_gif(nb, to) + for gif in gifs: + to = os.path.join(dest_dir, os.path.basename(gif)) + shutil.copyfile(gif, to) def gogogo_gif(notebook_from, notebook_to): diff --git a/docs/index.rst b/docs/index.rst index 2cdcb52..e57538a 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -96,6 +96,7 @@ Further discussion of the behavior as a function of backend can be found on the examples/hist.ipynb examples/mpl-sliders.ipynb examples/scatter-selector.ipynb + examples/animations.ipynb examples/image-segmentation.ipynb examples/zoom-factory.ipynb examples/heatmap-slicer.ipynb diff --git a/examples/animations.ipynb b/examples/animations.ipynb new file mode 100644 index 0000000..ec57ce4 --- /dev/null +++ b/examples/animations.ipynb @@ -0,0 +1,187 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Saving Animations\n", + "\n", + "Since the controls object knows how to update figures as the sliders change their values it is also able to save an animation (e.g. `.gif` or `.mp4` by updating the slider values for you. Under the hood this makes use of [FuncAnimation](https://matplotlib.org/api/_as_gen/matplotlib.animation.FuncAnimation.html?highlight=funcanimation#matplotlib.animation.FuncAnimation) and you can pass any relevant kwargs in via `func_anim_kwargs`. Other `kwargs` will passed to `animation.save`.\n", + "\n", + "Saving animations will work with either ipywidgets Sliders or with matplotlib Sliders. However, it will not work with other widgets. (This is an potential area of improvement, PRs welcome)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib ipympl\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "import mpl_interactions.ipyplot as iplt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Basic Usage" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "x = np.linspace(0, 2 * np.pi, 200)\n", + "\n", + "\n", + "def f(x, amp, freq):\n", + " return amp * np.sin(x * freq)\n", + "\n", + "\n", + "# Create the plot as normal\n", + "fig, ax = plt.subplots()\n", + "controls = iplt.plot(x, f, freq=(0.05, 10, 250), amp=(1,10))\n", + "_ = iplt.title(\"the Frequency is: {freq:.2f}\", controls=controls[\"freq\"])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# save as a gif\n", + "anim = controls.save_animation(\"freq-plot-1.gif\", fig, \"freq\", interval=35)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Which Generates this GIF\n", + "\n", + "![gif of sin animated over frequency](freq-plot-1.gif)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Embeding the animation in a noteook.\n", + "\n", + "To embed the animation you can do:\n", + "\n", + "1. Link to it in markdown cell with `![alt-text](path/to/image)`\n", + "2. Drag the file into a markdown cell\n", + "3. Embed `anim.to_html5_video()` using IPython.display.Video:\n", + "```python\n", + "from IPython.display import Video\n", + "Video(anim.to_html5_video(), embed=True)\n", + "```\n", + "\n", + "4. Use IPython to display the saved gif\n", + "\n", + "You can also read more in this excellent blog post: http://louistiao.me/posts/notebooks/embedding-matplotlib-animations-in-jupyter-as-interactive-javascript-widgets/" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# NBVAL_IGNORE_OUTPUT\n", + "from IPython.display import Image\n", + "\n", + "Image(\"freq-plot-1.gif\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Matplotlib Sliders with `valstep=None`\n", + "\n", + "Matplotlib sliders have an optional attribute `valstep` that allows for discrete slider steps. `mpl-interactions` uses this for all sliders that it creates, however if you passed a custom made slider in as a kwarg you may not have used `valstep` if this is the case then the `save_animation` function cannot infer how many frames it should render, so you can specify this with the `N_frames` arguments." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from matplotlib.widgets import Slider\n", + "\n", + "import mpl_interactions.ipyplot as iplt\n", + "\n", + "fig, ax = plt.subplots()\n", + "plt.subplots_adjust(bottom=0.25)\n", + "x = np.linspace(0, 2 * np.pi, 200)\n", + "\n", + "\n", + "def f(x, freq):\n", + " return np.sin(x * freq)\n", + "\n", + "\n", + "axfreq = plt.axes([0.25, 0.1, 0.65, 0.03])\n", + "slider = Slider(axfreq, label=\"freq\", valmin=0.05, valmax=10) # note the lack of valstep\n", + "controls2 = iplt.plot(x, f, freq=slider, ax=ax)\n", + "_ = iplt.title(\"the Frequency is: {freq:.2f}\", controls=controls2[\"freq\"])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# save as a gif\n", + "anim2 = controls2.save_animation(\"freq-plot-2.gif\", fig, \"freq\", interval=35, N_frames=100)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Gives this GIF:\n", + "\n", + "![freq-plot-2.gif](freq-plot-2.gif)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/freq-plot-1.gif b/examples/freq-plot-1.gif new file mode 100644 index 0000000000000000000000000000000000000000..7f709bac6a7912ef82c3d0dcbaf9ee29d4bf5077 GIT binary patch literal 3000321 zcmeF&=T{Sc*CzT@0s)dxLNB2spoXH-l+ddXq+=lz6%aHaA}B&a?}R2Df)oK!X-W|_ z6zNJ4r3lich!~J2B00H#_x(I`=EcmM_h&vU|3FsOH)~zj-rLyJNL|Af03reRfPjBt 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a/mpl_interactions/controller.py +++ b/mpl_interactions/controller.py @@ -18,6 +18,8 @@ from functools import partial from collections.abc import Iterable from matplotlib.widgets import AxesWidget +from matplotlib.widgets import Slider as mSlider +from matplotlib.animation import FuncAnimation class Controls: @@ -181,6 +183,72 @@ def __getitem__(self, key): key = [] return self, key + def save_animation( + self, filename, fig, param, interval=20, func_anim_kwargs={}, N_frames=None, **kwargs + ): + """ + Save an animation over one of the parameters controlled by this `controls` object. + + Parameters + ---------- + filename : str + fig : figure + param : str + the name of the kwarg to use to animate + interval : int, default: 2o + interval between frames in ms + func_anim_kwargs : dict + kwargs to pass the creation of the underlying FuncAnimation + N_frames : int + Only used if the param is a matplotlib slider that was created without a + valstep argument. This will only be relevant if you passed your own matplotlib + slider as a kwarg when plotting. If needed but not given it will default to + a value of 200. + **kwargs : + Passed through to anim.save + + Returns + ------- + anim : matplotlib.animation.FuncAniation + """ + slider = self.controls[param] + ipywidgets_slider = False + if "Box" in str(slider.__class__): + ipywidgets_slider = True + for obj in slider.children: + if "Slider" in str(obj.__class__): + slider = obj + N = int((slider.max - slider.min) / slider.step) + min_ = slider.min + max_ = slider.max + step = slider.step + elif isinstance(slider, mSlider): + min_ = slider.valmin + max_ = slider.valmax + if slider.valstep is None: + N = N_frames if N_frames else 200 + step = (max_ - min_) / N + else: + N = int((max_ - min_) / slider.valstep) + step = slider.valstep + + def f(i): + val = min_ + step * i + if ipywidgets_slider: + slider.value = val + else: + slider.set_val(val) + return [] + + repeat = func_anim_kwargs.pop("repeat", False) + anim = FuncAnimation(fig, f, frames=N, interval=interval, repeat=repeat, **func_anim_kwargs) + # draw then stop necessary to prevent an extra loop after finished saving + # see https://discourse.matplotlib.org/t/how-to-prevent-funcanimation-looping-a-single-time-after-save/21680/2 + fig.canvas.draw() + anim.event_source.stop() + anim.save(filename, **kwargs) + return anim + def display(self): """ Display the display the ipywidgets controls or show the control figures From 076025ada6996be9f455cc2815ac3d403fe75545 Mon Sep 17 00:00:00 2001 From: Ian Hunt-Isaak Date: Mon, 23 Nov 2020 21:32:51 -0500 Subject: [PATCH 3/3] bump version include animations --- mpl_interactions/_version.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/mpl_interactions/_version.py b/mpl_interactions/_version.py index 2ab80b4..b3ae32b 100644 --- a/mpl_interactions/_version.py +++ b/mpl_interactions/_version.py @@ -1,2 +1,2 @@ -version_info = (0, 13, 1) +version_info = (0, 14, 0) __version__ = ".".join(map(str, version_info))

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