{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Image Browser" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This example shows how to browse through a set of images with a slider." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "from ipywidgets import interact" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "ename": "ModuleNotFoundError", "evalue": "No module named 'sklearn'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m datasets\n", "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'sklearn'" ] } ], "source": [ "from sklearn import datasets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will use the digits dataset from [scikit-learn](http://scikit-learn.org/stable/)." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "digits = datasets.load_digits()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def browse_images(digits):\n", " n = len(digits.images)\n", " def view_image(i):\n", " plt.imshow(digits.images[i], cmap=plt.cm.gray_r, interpolation='nearest')\n", " plt.title('Training: %s' % digits.target[i])\n", " plt.show()\n", " interact(view_image, i=(0,n-1))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "browse_images(digits)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.11.4" } }, "nbformat": 4, "nbformat_minor": 4 }