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311 lines
78 KiB
311 lines
78 KiB
2 years ago
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"outputs": [
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{
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"data": {
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"text/plain": "<IPython.core.display.Javascript object>",
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"application/javascript": "/* Put everything inside the global mpl namespace */\n/* global mpl */\nwindow.mpl = {};\n\nmpl.get_websocket_type = function () {\n if (typeof WebSocket !== 'undefined') {\n return WebSocket;\n } else if (typeof MozWebSocket !== 'undefined') {\n return MozWebSocket;\n } else {\n alert(\n 'Your browser does not have WebSocket support. ' +\n 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n 'Firefox 4 and 5 are also supported but you ' +\n 'have to enable WebSockets in about:config.'\n );\n }\n};\n\nmpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n this.id = figure_id;\n\n this.ws = websocket;\n\n this.supports_binary = this.ws.binaryType !== undefined;\n\n if (!this.supports_binary) {\n var warnings = document.getElementById('mpl-warnings');\n if (warnings) {\n warnings.style.display = 'block';\n warnings.textContent =\n 'This browser does not support binary websocket messages. ' +\n 'Performance may be slow.';\n }\n }\n\n this.imageObj = new Image();\n\n this.context = undefined;\n this.message = undefined;\n this.canvas = undefined;\n this.rubberband_canvas = undefined;\n this.rubberband_context = undefined;\n this.format_dropdown = undefined;\n\n this.image_mode = 'full';\n\n this.root = document.createElement('div');\n this.root.setAttribute('style', 'display: inline-block');\n this._root_extra_style(this.root);\n\n parent_element.appendChild(this.root);\n\n this._init_header(this);\n this._init_canvas(this);\n this._init_toolbar(this);\n\n var fig = this;\n\n this.waiting = false;\n\n this.ws.onopen = function () {\n fig.send_message('supports_binary', { value: fig.supports_binary });\n fig.send_message('send_image_mode', {});\n if (fig.ratio !== 1) {\n fig.send_message('set_device_pixel_ratio', {\n device_pixel_ratio: fig.ratio,\n });\n }\n fig.send_message('refresh', {});\n };\n\n this.imageObj.onload = function () {\n if (fig.image_mode === 'full') {\n // Full images could contain transparency (where diff images\n // almost always do), so we need to clear the canvas so that\n // there is no ghosting.\n fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n }\n fig.context.drawImage(fig.imageObj, 0, 0);\n };\n\n this.imageObj.onunload = function () {\n fig.ws.close();\n };\n\n this.ws.onmessage = this._make_on_message_function(this);\n\n this.ondownload = ondownload;\n};\n\nmpl.figure.prototype._init_header = function () {\n var titlebar = document.createElement('div');\n titlebar.classList =\n 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n var titletext = document.createElement('div');\n titletext.classList = 'ui-dialog-title';\n titletext.setAttribute(\n 'style',\n 'width: 100%; text-align: center; padding: 3px;'\n );\n titlebar.appendChild(titletext);\n this.root.appendChild(titlebar);\n this.header = titletext;\n};\n\nmpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n\nmpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n\nmpl.figure.prototype._init_canvas = function () {\n var fig = this;\n\n var canvas_div = (this.canvas_div = document.createElement('div'));\n canvas_div.setAttribute(\n 'style',\n 'border: 1px solid #ddd;' +\n 'box-sizing: content-box;' +\n 'clear: both;' +\n 'min-height: 1px;' +\n 'min-width: 1px;' +\n 'outline: 0;' +\n 'overflow: hidden;' +\n 'position: relative;' +\n 'resize: both;'\n );\n\n function on_keyboard_event_closure(name) {\n return function (event) {\n return fig.key
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": "<IPython.core.display.HTML object>",
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"text/html": "<div id='1698ee9e-2bb2-4217-b4e2-4224d5f37a7d'></div>"
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": "interactive(children=(FloatSlider(value=1.0, description='w', max=3.0, min=-1.0), Output()), _dom_classes=('wi…",
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "fa96235a53da4c98bb4bbef6541cd4ca"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"%matplotlib notebook\n",
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"from ipywidgets import *\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"x = np.linspace(0, 2 * np.pi)\n",
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"fig = plt.figure()\n",
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"ax = fig.add_subplot(1, 1, 1)\n",
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"line, = ax.plot(x, np.sin(x))\n",
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"\n",
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"def update(w = 1.0):\n",
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" line.set_ydata(np.sin(w * x))\n",
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" # fig.plot(x, np.sin(w * x))\n",
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" fig.canvas.draw_idle()\n",
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"\n",
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"interact(update);"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"outputs": [],
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"source": [
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"import seaborn as sns\n",
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"import matplotlib.pyplot as plt\n",
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"mpg = sns.load_dataset('mpg')\n",
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"def f(x):\n",
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" img = sns.countplot(mpg[mpg['mpg']<x]['origin'])\n",
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" plt.title('Origin Countplot mpg = {}'.format(x))\n",
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" return img"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"outputs": [
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{
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"data": {
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"text/plain": "interactive(children=(IntSlider(value=20, description='x', max=60, min=-20), Output()), _dom_classes=('widget-…",
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "0847ab1f50c7469c888be36eaf993e7e"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": "<function __main__.f(x)>"
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"interact(f, x=20)"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"outputs": [
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{
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"data": {
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"text/plain": "<IPython.core.display.Javascript object>",
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"application/javascript": "/* Put everything inside the global mpl namespace */\n/* global mpl */\nwindow.mpl = {};\n\nmpl.get_websocket_type = function () {\n if (typeof WebSocket !== 'undefined') {\n return WebSocket;\n } else if (typeof MozWebSocket !== 'undefined') {\n return MozWebSocket;\n } else {\n alert(\n 'Your browser does not have WebSocket support. ' +\n 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n 'Firefox 4 and 5 are also supported but you ' +\n 'have to enable WebSockets in about:config.'\n );\n }\n};\n\nmpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n this.id = figure_id;\n\n this.ws = websocket;\n\n this.supports_binary = this.ws.binaryType !== undefined;\n\n if (!this.supports_binary) {\n var warnings = document.getElementById('mpl-warnings');\n if (warnings) {\n warnings.style.display = 'block';\n warnings.textContent =\n 'This browser does not support binary websocket messages. ' +\n 'Performance may be slow.';\n }\n }\n\n this.imageObj = new Image();\n\n this.context = undefined;\n this.message = undefined;\n this.canvas = undefined;\n this.rubberband_canvas = undefined;\n this.rubberband_context = undefined;\n this.format_dropdown = undefined;\n\n this.image_mode = 'full';\n\n this.root = document.createElement('div');\n this.root.setAttribute('style', 'display: inline-block');\n this._root_extra_style(this.root);\n\n parent_element.appendChild(this.root);\n\n this._init_header(this);\n this._init_canvas(this);\n this._init_toolbar(this);\n\n var fig = this;\n\n this.waiting = false;\n\n this.ws.onopen = function () {\n fig.send_message('supports_binary', { value: fig.supports_binary });\n fig.send_message('send_image_mode', {});\n if (fig.ratio !== 1) {\n fig.send_message('set_device_pixel_ratio', {\n device_pixel_ratio: fig.ratio,\n });\n }\n fig.send_message('refresh', {});\n };\n\n this.imageObj.onload = function () {\n if (fig.image_mode === 'full') {\n // Full images could contain transparency (where diff images\n // almost always do), so we need to clear the canvas so that\n // there is no ghosting.\n fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n }\n fig.context.drawImage(fig.imageObj, 0, 0);\n };\n\n this.imageObj.onunload = function () {\n fig.ws.close();\n };\n\n this.ws.onmessage = this._make_on_message_function(this);\n\n this.ondownload = ondownload;\n};\n\nmpl.figure.prototype._init_header = function () {\n var titlebar = document.createElement('div');\n titlebar.classList =\n 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n var titletext = document.createElement('div');\n titletext.classList = 'ui-dialog-title';\n titletext.setAttribute(\n 'style',\n 'width: 100%; text-align: center; padding: 3px;'\n );\n titlebar.appendChild(titletext);\n this.root.appendChild(titlebar);\n this.header = titletext;\n};\n\nmpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n\nmpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n\nmpl.figure.prototype._init_canvas = function () {\n var fig = this;\n\n var canvas_div = (this.canvas_div = document.createElement('div'));\n canvas_div.setAttribute(\n 'style',\n 'border: 1px solid #ddd;' +\n 'box-sizing: content-box;' +\n 'clear: both;' +\n 'min-height: 1px;' +\n 'min-width: 1px;' +\n 'outline: 0;' +\n 'overflow: hidden;' +\n 'position: relative;' +\n 'resize: both;'\n );\n\n function on_keyboard_event_closure(name) {\n return function (event) {\n return fig.key
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": "<IPython.core.display.HTML object>",
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"text/html": "<div id='f71a3fd5-2196-4af1-a1a7-87988a62c42f'></div>"
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"fig, ax = plt.subplots()\n",
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"img = ax.imshow([[0, 1], [2, 3]])"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"outputs": [],
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"source": [
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"img?"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"outputs": [
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{
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"ename": "AttributeError",
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"evalue": "'list' object has no attribute 'items'",
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"output_type": "error",
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"traceback": [
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"\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
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"\u001B[0;31mAttributeError\u001B[0m Traceback (most recent call last)",
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"Input \u001B[0;32mIn [8]\u001B[0m, in \u001B[0;36m<cell line: 1>\u001B[0;34m()\u001B[0m\n\u001B[0;32m----> 1\u001B[0m \u001B[43mimg\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mupdate\u001B[49m\u001B[43m(\u001B[49m\u001B[43m[\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;241;43m0\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m1\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;241;43m2\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m5\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m]\u001B[49m\u001B[43m)\u001B[49m\n",
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"File \u001B[0;32m/usr/lib/python3.10/site-packages/matplotlib/artist.py:1056\u001B[0m, in \u001B[0;36mArtist.update\u001B[0;34m(self, props)\u001B[0m\n\u001B[1;32m 1054\u001B[0m ret \u001B[38;5;241m=\u001B[39m []\n\u001B[1;32m 1055\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m cbook\u001B[38;5;241m.\u001B[39m_setattr_cm(\u001B[38;5;28mself\u001B[39m, eventson\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m):\n\u001B[0;32m-> 1056\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m k, v \u001B[38;5;129;01min\u001B[39;00m \u001B[43mprops\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mitems\u001B[49m():\n\u001B[1;32m 1057\u001B[0m \u001B[38;5;66;03m# Allow attributes we want to be able to update through\u001B[39;00m\n\u001B[1;32m 1058\u001B[0m \u001B[38;5;66;03m# art.update, art.set, setp.\u001B[39;00m\n\u001B[1;32m 1059\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m k \u001B[38;5;241m==\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124maxes\u001B[39m\u001B[38;5;124m\"\u001B[39m:\n\u001B[1;32m 1060\u001B[0m ret\u001B[38;5;241m.\u001B[39mappend(\u001B[38;5;28msetattr\u001B[39m(\u001B[38;5;28mself\u001B[39m, k, v))\n",
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"\u001B[0;31mAttributeError\u001B[0m: 'list' object has no attribute 'items'"
|
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]
|
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}
|
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],
|
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"source": [
|
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"img.update([[0, 1], [2, 5]])"
|
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],
|
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"metadata": {
|
||
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"collapsed": false,
|
||
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"pycharm": {
|
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"name": "#%%\n"
|
||
|
}
|
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}
|
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},
|
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{
|
||
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"cell_type": "code",
|
||
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"execution_count": 10,
|
||
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"outputs": [
|
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{
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"data": {
|
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"text/plain": "['_A',\n '_PROPERTIES_EXCLUDED_FROM_SET',\n '__class__',\n '__delattr__',\n '__dict__',\n '__dir__',\n '__doc__',\n '__eq__',\n '__format__',\n '__ge__',\n '__getattribute__',\n '__getstate__',\n '__gt__',\n '__hash__',\n '__init__',\n '__init_subclass__',\n '__le__',\n '__lt__',\n '__module__',\n '__ne__',\n '__new__',\n '__reduce__',\n '__reduce_ex__',\n '__repr__',\n '__setattr__',\n '__sizeof__',\n '__str__',\n '__subclasshook__',\n '__weakref__',\n '_agg_filter',\n '_alpha',\n '_animated',\n '_axes',\n '_callbacks',\n '_check_unsampled_image',\n '_clipon',\n '_clippath',\n '_cm_set',\n '_default_contains',\n '_extent',\n '_filternorm',\n '_filterrad',\n '_get_clipping_extent_bbox',\n '_get_scalar_alpha',\n '_gid',\n '_id_norm',\n '_imcache',\n '_in_layout',\n '_interpolation',\n '_interpolation_stage',\n '_label',\n '_make_image',\n '_mouseover',\n '_norm',\n '_path_effects',\n '_picker',\n '_rasterized',\n '_remove_method',\n '_resample',\n '_rgbacache',\n '_scale_norm',\n '_set_alpha_for_array',\n '_set_gc_clip',\n '_sketch',\n '_snap',\n '_stale',\n '_sticky_edges',\n '_transform',\n '_transformSet',\n '_update_set_signature_and_docstring',\n '_url',\n '_visible',\n 'add_callback',\n 'autoscale',\n 'autoscale_None',\n 'axes',\n 'callbacks',\n 'callbacksSM',\n 'can_composite',\n 'changed',\n 'clipbox',\n 'cmap',\n 'colorbar',\n 'contains',\n 'convert_xunits',\n 'convert_yunits',\n 'draw',\n 'figure',\n 'findobj',\n 'format_cursor_data',\n 'get_agg_filter',\n 'get_alpha',\n 'get_animated',\n 'get_array',\n 'get_children',\n 'get_clim',\n 'get_clip_box',\n 'get_clip_on',\n 'get_clip_path',\n 'get_cmap',\n 'get_cursor_data',\n 'get_extent',\n 'get_figure',\n 'get_filternorm',\n 'get_filterrad',\n 'get_gid',\n 'get_in_layout',\n 'get_interpolation',\n 'get_label',\n 'get_path_effects',\n 'get_picker',\n 'get_rasterized',\n 'get_resample',\n 'get_size',\n 'get_sketch_params',\n 'get_snap',\n 'get_tightbbox',\n 'get_transform',\n 'get_transformed_clip_path_and_affine',\n 'get_url',\n 'get_visible',\n 'get_window_extent',\n 'get_zorder',\n 'have_units',\n 'is_transform_set',\n 'make_image',\n 'mouseover',\n 'norm',\n 'origin',\n 'pchanged',\n 'pick',\n 'pickable',\n 'properties',\n 'remove',\n 'remove_callback',\n 'set',\n 'set_agg_filter',\n 'set_alpha',\n 'set_animated',\n 'set_array',\n 'set_clim',\n 'set_clip_box',\n 'set_clip_on',\n 'set_clip_path',\n 'set_cmap',\n 'set_data',\n 'set_extent',\n 'set_figure',\n 'set_filternorm',\n 'set_filterrad',\n 'set_gid',\n 'set_in_layout',\n 'set_interpolation',\n 'set_interpolation_stage',\n 'set_label',\n 'set_norm',\n 'set_path_effects',\n 'set_picker',\n 'set_rasterized',\n 'set_resample',\n 'set_sketch_params',\n 'set_snap',\n 'set_transform',\n 'set_url',\n 'set_visible',\n 'set_zorder',\n 'stale',\n 'stale_callback',\n 'sticky_edges',\n 'to_rgba',\n 'update',\n 'update_from',\n 'write_png',\n 'zorder']"
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},
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"execution_count": 10,
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"metadata": {},
|
||
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"output_type": "execute_result"
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}
|
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],
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"source": [
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"dir(img)"
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],
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"metadata": {
|
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"collapsed": false,
|
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"pycharm": {
|
||
|
"name": "#%%\n"
|
||
|
}
|
||
|
}
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 11,
|
||
|
"outputs": [],
|
||
|
"source": [
|
||
|
"img.set_data?"
|
||
|
],
|
||
|
"metadata": {
|
||
|
"collapsed": false,
|
||
|
"pycharm": {
|
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"name": "#%%\n"
|
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}
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}
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},
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{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 14,
|
||
|
"outputs": [],
|
||
|
"source": [
|
||
|
"img.set_data([[0, 1], [2, 2]])"
|
||
|
],
|
||
|
"metadata": {
|
||
|
"collapsed": false,
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},
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{
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|
"cell_type": "code",
|
||
|
"execution_count": 15,
|
||
|
"outputs": [],
|
||
|
"source": [
|
||
|
"fig.canvas.draw_idle()"
|
||
|
],
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},
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{
|
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|
"cell_type": "code",
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|
"execution_count": 16,
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"text/plain": "matplotlib.image.AxesImage"
|
||
|
},
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|
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"metadata": {},
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|
"output_type": "execute_result"
|
||
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}
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],
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"source": [
|
||
|
"type(img)"
|
||
|
],
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}
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},
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|
{
|
||
|
"cell_type": "code",
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||
|
"execution_count": null,
|
||
|
"outputs": [],
|
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|
"source": [],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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|
}
|
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|
],
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"metadata": {
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"kernelspec": {
|
||
|
"display_name": "Python 3",
|
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|
"language": "python",
|
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"name": "python3"
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},
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"language_info": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
|
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|
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