{ "cells": [ { "cell_type": "markdown", "id": "fff56b76", "metadata": {}, "source": [ "--- \n", " \n", "\n", "

Department of Data Science

\n", "

Course: Tools and Techniques for Data Science

\n", "\n", "---\n", "

Instructor: Muhammad Arif Butt, Ph.D.

" ] }, { "cell_type": "markdown", "id": "05dbb7e4", "metadata": {}, "source": [ "

Lecture 3.21 (Data Visualization-I)

" ] }, { "cell_type": "markdown", "id": "a205bba4", "metadata": {}, "source": [ "\"Open" ] }, { "cell_type": "markdown", "id": "117c331e", "metadata": {}, "source": [ "## _Data Visualization with Matplotlib_\n", "\n", "**Read Documentation for details:** \n", "https://matplotlib.org/stable/users/index.html" ] }, { "cell_type": "markdown", "id": "10a00218", "metadata": {}, "source": [ "\n", "" ] }, { "cell_type": "code", "execution_count": null, "id": "a39bbba6", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "68e12bb3", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "df3b2c9c", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "9d146c83", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "cb232188", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "a12ab8da", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "5c63473d", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "0677fbfc", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "f90af046", "metadata": {}, "source": [ "# Chart Chooser\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "id": "51aa90b0", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "aeea6c61", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "109cf480", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "77ec2174", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "5a321280", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "2a1a90b7", "metadata": {}, "source": [ "# Data Visualization using Matplotlib and Seaborn\n", "" ] }, { "cell_type": "code", "execution_count": null, "id": "484c5679", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "6ab57a45", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "fdfe0a72", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "89d97edc", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "7e8c0235", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "0108b4d6", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "e6e9f900", "metadata": {}, "source": [ "# Anatomy of a Figure\n", "" ] }, { "cell_type": "code", "execution_count": null, "id": "5c1bf6c2", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "e6b495cb", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "535b1d48", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "b41510e7", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "14205092", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "e42b820a", "metadata": {}, "source": [ "## Learning agenda of this notebook\n", "1. Introduction to Data Visualization\n", "2. Chart Chooser\n", "3. Anatomy of a Figure\n", "4. Download and Install Matplotlib\n", "5. How to draw a Line Chart\n", "6. Enhance the Graph Step by Step" ] }, { "cell_type": "code", "execution_count": null, "id": "96654a75", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "0d911492", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "2ffb82b4", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "b61bbe51", "metadata": {}, "source": [ "## 4. Download and Install Matplotlib" ] }, { "cell_type": "markdown", "id": "dfd1b1d8", "metadata": {}, "source": [ "To begin, let's install the Matplotlib library. We'll use the `matplotlib.pyplot` module for basic plots like line & bar charts. It is often imported with the alias `plt`. " ] }, { "cell_type": "code", "execution_count": null, "id": "7e6f955f", "metadata": {}, "outputs": [], "source": [ "# To install this library in Jupyter notebook\n", "import sys\n", "!{sys.executable} -m pip install matplotlib --quiet" ] }, { "cell_type": "code", "execution_count": 1, "id": "e99b39c5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "('3.5.1',\n", " ['/Users/arif/opt/anaconda3/envs/python10/lib/python3.10/site-packages/matplotlib'])" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import matplotlib\n", "matplotlib.__version__ , matplotlib.__path__" ] }, { "cell_type": "code", "execution_count": 2, "id": "a743d8cb", "metadata": {}, "outputs": [], "source": [ "from matplotlib import pyplot as plt" ] }, { "cell_type": "code", "execution_count": 3, "id": "322da3c8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['Annotation', 'Arrow', 'Artist', 'AutoLocator', 'Axes', 'Button', 'Circle', 'Figure', 'FigureCanvasBase', 'FixedFormatter', 'FixedLocator', 'FormatStrFormatter', 'Formatter', 'FuncFormatter', 'GridSpec', 'IndexLocator', 'Line2D', 'LinearLocator', 'Locator', 'LogFormatter', 'LogFormatterExponent', 'LogFormatterMathtext', 'LogLocator', 'MaxNLocator', 'MouseButton', 'MultipleLocator', 'Normalize', 'NullFormatter', 'NullLocator', 'Number', 'PolarAxes', 'Polygon', 'Rectangle', 'ScalarFormatter', 'Slider', 'Subplot', 'SubplotSpec', 'Text', 'TickHelper', 'Widget', '_INSTALL_FIG_OBSERVER', '_IP_REGISTERED', '_IoffContext', '_IonContext', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', '_api', '_auto_draw_if_interactive', '_backend_mod', '_copy_docstring_and_deprecators', '_get_required_interactive_framework', '_interactive_bk', '_log', '_pylab_helpers', '_setup_pyplot_info_docstrings', '_warn_if_gui_out_of_main_thread', '_xkcd', 'acorr', 'angle_spectrum', 'annotate', 'arrow', 'autoscale', 'autumn', 'axes', 'axhline', 'axhspan', 'axis', 'axline', 'axvline', 'axvspan', 'bar', 'bar_label', 'barbs', 'barh', 'bone', 'box', 'boxplot', 'broken_barh', 'cbook', 'cla', 'clabel', 'clf', 'clim', 'close', 'cm', 'cohere', 'colorbar', 'colormaps', 'connect', 'contour', 'contourf', 'cool', 'copper', 'csd', 'cycler', 'delaxes', 'disconnect', 'docstring', 'draw', 'draw_all', 'draw_if_interactive', 'errorbar', 'eventplot', 'figaspect', 'figimage', 'figlegend', 'fignum_exists', 'figtext', 'figure', 'fill', 'fill_between', 'fill_betweenx', 'findobj', 'flag', 'functools', 'gca', 'gcf', 'gci', 'get', 'get_backend', 'get_cmap', 'get_current_fig_manager', 'get_figlabels', 'get_fignums', 'get_plot_commands', 'get_scale_names', 'getp', 'ginput', 'gray', 'grid', 'hexbin', 'hist', 'hist2d', 'hlines', 'hot', 'hsv', 'importlib', 'imread', 'imsave', 'imshow', 'inferno', 'inspect', 'install_repl_displayhook', 'interactive', 'ioff', 'ion', 'isinteractive', 'jet', 'legend', 'locator_params', 'logging', 'loglog', 'magma', 'magnitude_spectrum', 'margins', 'matplotlib', 'matshow', 'minorticks_off', 'minorticks_on', 'mlab', 'new_figure_manager', 'nipy_spectral', 'np', 'pause', 'pcolor', 'pcolormesh', 'phase_spectrum', 'pie', 'pink', 'plasma', 'plot', 'plot_date', 'plotting', 'polar', 'prism', 'psd', 'quiver', 'quiverkey', 'rc', 'rcParams', 'rcParamsDefault', 'rcParamsOrig', 'rc_context', 'rcdefaults', 'rcsetup', 're', 'register_cmap', 'rgrids', 'savefig', 'sca', 'scatter', 'sci', 'semilogx', 'semilogy', 'set_cmap', 'set_loglevel', 'setp', 'show', 'specgram', 'spring', 'spy', 'stackplot', 'stairs', 'stem', 'step', 'streamplot', 'style', 'subplot', 'subplot2grid', 'subplot_mosaic', 'subplot_tool', 'subplots', 'subplots_adjust', 'summer', 'suptitle', 'switch_backend', 'sys', 'table', 'text', 'thetagrids', 'threading', 'tick_params', 'ticklabel_format', 'tight_layout', 'time', 'title', 'tricontour', 'tricontourf', 'tripcolor', 'triplot', 'twinx', 'twiny', 'uninstall_repl_displayhook', 'violinplot', 'viridis', 'vlines', 'waitforbuttonpress', 'winter', 'xcorr', 'xkcd', 'xlabel', 'xlim', 'xscale', 'xticks', 'ylabel', 'ylim', 'yscale', 'yticks']\n" ] } ], "source": [ "print(dir(plt))" ] }, { "cell_type": "code", "execution_count": null, "id": "c30ec112", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "1b4413a1", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "17d5dfbe", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "ca7c3f4c", "metadata": {}, "source": [ "## 5. Programming with Matplotlib" ] }, { "cell_type": "markdown", "id": "1d3a0df4", "metadata": {}, "source": [ "#### Option 1: Statefull Approach" ] }, { "cell_type": "code", "execution_count": 4, "id": "4b639b0f", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "x = np.linspace(-2, 2, 20)\n", "y = x**3\n", "plt.plot(x,y)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "eb1181ff", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "b2de57ff", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "252858a6", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "8c16d26b", "metadata": {}, "source": [ "#### Option 2: Stateless (Object Oriented) Approach" ] }, { "cell_type": "code", "execution_count": 7, "id": "66df3de0", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Use plt.subplot() method to add an Axes to the current figure \n", "fig = plt.figure()\n", "ax = plt.subplot()\n", "ax.plot(x,y)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 8, "id": "2405e94d", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Use fig.add_subplot() method to add an Axes to the figure on which it is called\n", "fig = plt.figure()\n", "ax = fig.add_subplot()\n", "ax.plot(x,y)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 9, "id": "ec9473d1", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Use plt.subplots() method to create a figure and a add set of subplots in a single call\n", "fig, ax = plt.subplots()\n", "ax.plot(x,y)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "c414346c", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "07073e6e", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "8bb54d21", "metadata": {}, "source": [ "## 6. How to Draw a Line Chart" ] }, { "cell_type": "code", "execution_count": 10, "id": "b1e59bd3", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "fig,ax = plt.subplots()\n", "ax.plot(years, chemical_exports)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "07fa5ebc", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "2a14dfb9", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "732d699e", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "367ebf57", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "46c1e359", "metadata": {}, "source": [ "## 7. Enhance the Graph Step by Step" ] }, { "cell_type": "markdown", "id": "4a594f78", "metadata": {}, "source": [ "### a. Adding Chart Title" ] }, { "cell_type": "code", "execution_count": 11, "id": "a86c78f3", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "fig,ax = plt.subplots()\n", "ax.plot(years, chemical_exports)\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "a1644672", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "22f09eec", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "e6d55dbb", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "0de28720", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "a87ac1e4", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "c209d2b3", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "790459a8", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "76f8486a", "metadata": {}, "source": [ "### b. Setting x/y-Labels" ] }, { "cell_type": "code", "execution_count": 12, "id": "d708211f", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "fig,ax = plt.subplots()\n", "\n", "ax.plot(years, chemical_exports)\n", "\n", "\n", "ax.set_xlabel(\"Years\")\n", "ax.set_ylabel(\"Amount (Million US$)\")\n", "\n", "\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "f63201d2", "metadata": {}, "source": [ "### c. Modifying Ticks" ] }, { "cell_type": "code", "execution_count": 13, "id": "fff75b12", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "fig,ax = plt.subplots()\n", "#fig = plt.figure()\n", "#ax = fig.add_subplot()\n", "\n", "ax.plot(years, chemical_exports)\n", "\n", "\n", "ax.set_xlabel(\"Years\")\n", "ax.set_ylabel(\"Amount (Million US$)\")\n", "\n", "\n", "xvals = np.arange(2011, 2022, 2)\n", "yvals = np.linspace(0.80, 0.98, 10)\n", "ax.set_xticks(xvals)\n", "ax.set_yticks(yvals)\n", "\n", "\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "a507c949", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "5427bec2", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "a4c0f47f", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "ea400f3f", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "2f6ec11d", "metadata": {}, "source": [ "### d. Adding Multiple Lines in a Graph" ] }, { "cell_type": "code", "execution_count": 14, "id": "edcac372", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "medicine_exports = [0.791, 0.818, 0.832, 0.816, 0.840, 0.833, 0.835, 0.838, 0.842, 0.910, 0.930, 0.940]\n", "\n", "\n", "fig = plt.figure()\n", "ax = fig.add_subplot()\n", "\n", "ax.plot(years, chemical_exports)\n", "ax.plot(years, medicine_exports)\n", "\n", "ax.set_xlabel(\"Years\")\n", "ax.set_ylabel(\"Amount (Million US$)\")\n", "\n", "\n", "xvals = np.arange(2011, 2022, 2)\n", "yvals = np.linspace(0.80, 0.98, 10)\n", "ax.set_xticks(xvals)\n", "ax.set_yticks(yvals)\n", "\n", "\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "e3f9e9a4", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "5f30d808", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "ca82b8dc", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "9c7a68e6", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "3fb6cef9", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "03388c7f", "metadata": {}, "source": [ "### e. Adding Chart Legend" ] }, { "cell_type": "markdown", "id": "7b4c75f8", "metadata": {}, "source": [ "**Option1:**" ] }, { "cell_type": "code", "execution_count": 17, "id": "bc33f626", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "medicine_exports = [0.791, 0.818, 0.832, 0.816, 0.840, 0.833, 0.835, 0.838, 0.842, 0.910, 0.930, 0.940]\n", "\n", "\n", "fig = plt.figure()\n", "ax = fig.add_subplot()\n", "\n", "ax.plot(years, chemical_exports)\n", "ax.plot(years, medicine_exports)\n", "\n", "ax.set_xlabel(\"Years\")\n", "ax.set_ylabel(\"Amount (Million US$)\")\n", "\n", "\n", "xvals = np.arange(2011, 2022, 2)\n", "yvals = np.linspace(0.80, 0.98, 10)\n", "ax.set_xticks(xvals)\n", "ax.set_yticks(yvals)\n", "\n", "\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.legend([\"Chemicals\", \"Medicines\"])\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "7780155e", "metadata": {}, "source": [ "**Limitations of above way of adding a Lagend to your graph:**\n", ">- This technique expects the sequence of arguments passed to the `plt.legend()` method to be exactly same as the sequence in which the plots are added above using the two calls to `ax.plot()` method\n", ">- I mean the sequence of strings/labels that you pass to the `plt.legend()` method will be assigned to the two lines in the exact sequence in which they have been added using the two `ax.plot()` methods.\n", ">- Solution to this problem is use `label` argument to `ax.plot()` method instead of passing a list of strings to the `plt.legend()` method." ] }, { "cell_type": "code", "execution_count": null, "id": "118975ba", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "c3d1f442", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "ae3bc105", "metadata": {}, "source": [ "**Option2:**" ] }, { "cell_type": "code", "execution_count": 23, "id": "c30c1118", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "medicine_exports = [0.791, 0.818, 0.832, 0.816, 0.840, 0.833, 0.835, 0.838, 0.842, 0.910, 0.930, 0.940]\n", "\n", "\n", "fig = plt.figure()\n", "ax = fig.add_subplot()\n", "\n", "ax.plot(years, chemical_exports, label=\"Chemicals\")\n", "ax.plot(years, medicine_exports, label=\"Medicines\")\n", "\n", "ax.set_xlabel(\"Years\")\n", "ax.set_ylabel(\"Amount (Million US$)\")\n", "\n", "\n", "xvals = np.arange(2011, 2022, 2)\n", "yvals = np.linspace(0.80, 0.98, 10)\n", "ax.set_xticks(xvals)\n", "ax.set_yticks(yvals)\n", "\n", "\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.legend(loc='best')\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "3ce69ae1", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "a0bcb665", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "a16b3d1d", "metadata": {}, "source": [ "### f. Use of Markers\n", "- Matplotlib provides many different markers, like a circle, cross, square, diamond, etc. You can find the full list of marker types here: https://matplotlib.org/3.1.1/api/markers_api.html .\n", "- The `plt.plot` function supports many arguments for markers:\n", " - `markersize` or `ms`: Set the size of markers\n", " - `markeredgecolor` or `mec`: Set the edge color for markers\n", " - `markeredgewidth` or `mew`: Set the edge width for markers\n", " - `markerfacecolor` or `mfc`: Set the fill color for markers" ] }, { "cell_type": "code", "execution_count": 24, "id": "81cee925", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "medicine_exports = [0.791, 0.818, 0.832, 0.816, 0.840, 0.833, 0.835, 0.838, 0.842, 0.910, 0.930, 0.940]\n", "\n", "\n", "fig = plt.figure()\n", "ax = fig.add_subplot()\n", "\n", "ax.plot(years, chemical_exports, label=\"Chemicals\", marker='o')\n", "ax.plot(years, medicine_exports, label=\"Medicines\", marker='x')\n", "\n", "ax.set_xlabel(\"Years\")\n", "ax.set_ylabel(\"Amount (Million US$)\")\n", "\n", "\n", "xvals = np.arange(2011, 2022, 2)\n", "yvals = np.linspace(0.80, 0.98, 10)\n", "ax.set_xticks(xvals)\n", "ax.set_yticks(yvals)\n", "\n", "\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.legend(loc='best')\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "afda343f", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "4e38184c", "metadata": {}, "source": [ "### g. Styling the Lines (Line Attributes)\n", "- The `plt.plot` function supports many arguments for styling lines\n", " - `color` or `c`: Set the color of the line\n", " - `linestyle` or `ls`: Choose between a solid or dashed line\n", " - `linewidth` or `lw`: Set the width of a line\n", "\n", "\n", "Checkout the supported colors: https://matplotlib.org/3.1.0/tutorials/colors/colors.html\n", "\n", "Check out the documentation for `plt.plot` to learn more: [https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html#matplotlib.pyplot.plot]" ] }, { "cell_type": "code", "execution_count": 26, "id": "57c0aea8", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "medicine_exports = [0.791, 0.818, 0.832, 0.816, 0.840, 0.833, 0.835, 0.838, 0.842, 0.910, 0.930, 0.940]\n", "\n", "\n", "fig = plt.figure()\n", "ax = fig.add_subplot()\n", "\n", "ax.plot(years, chemical_exports, label=\"Chemicals\", marker='o', c='b', ls='-', lw=2)\n", "ax.plot(years, medicine_exports, label=\"Medicines\", marker='x', c='r', ls=':', lw=2)\n", "\n", "ax.set_xlabel(\"Years\")\n", "ax.set_ylabel(\"Amount (Million US$)\")\n", "\n", "\n", "xvals = np.arange(2011, 2022, 2)\n", "yvals = np.linspace(0.80, 0.98, 10)\n", "ax.set_xticks(xvals)\n", "ax.set_yticks(yvals)\n", "\n", "\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.legend(loc='best')\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "ef963d6d", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "5fad5dd4", "metadata": {}, "source": [ "### h. Using Format String to Style the Lines\n", "**Most of the time we just want to set the marker, line style, and line color. The plt.plot() method can be passed a single string for this purpose `fmt='[marker][line][color]`**\n", "\n", "```plt.plot(years, sports_export, 'o-g')```\n", "\n", "This format string cannot be passed as named argument, rather is a positional argument after the x,y arguments to plt.plot() method" ] }, { "cell_type": "code", "execution_count": null, "id": "a3232013", "metadata": {}, "outputs": [], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "medicine_exports = [0.791, 0.818, 0.832, 0.816, 0.840, 0.833, 0.835, 0.838, 0.842, 0.910, 0.930, 0.940]\n", "\n", "\n", "fig = plt.figure()\n", "ax = fig.add_subplot()\n", "\n", "ax.plot(years, chemical_exports, 'o-g', label=\"Chemicals\")\n", "ax.plot(years, medicine_exports, 'x-r', label=\"Medicines\")\n", "\n", "ax.set_xlabel(\"Years\")\n", "ax.set_ylabel(\"Amount (Million US$)\")\n", "\n", "\n", "xvals = np.arange(2011, 2022, 2)\n", "yvals = np.linspace(0.80, 0.98, 10)\n", "ax.set_xticks(xvals)\n", "ax.set_yticks(yvals)\n", "\n", "\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.legend(loc='best')\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "6b100659", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "5dd42e87", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "d843efa1", "metadata": {}, "source": [ "### i. Changing Figure Size and Adding Grid" ] }, { "cell_type": "code", "execution_count": 27, "id": "027adfb0", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "medicine_exports = [0.791, 0.818, 0.832, 0.816, 0.840, 0.833, 0.835, 0.838, 0.842, 0.910, 0.930, 0.940]\n", "\n", "\n", "fig = plt.figure(figsize=(12,6))\n", "ax = fig.add_subplot()\n", "\n", "ax.plot(years, chemical_exports, label=\"Chemicals\", marker='o', c='b', ls='-', lw=2)\n", "ax.plot(years, medicine_exports, label=\"Medicines\", marker='x', c='r', ls=':', lw=2)\n", "\n", "ax.set_xlabel(\"Years\")\n", "ax.set_ylabel(\"Amount (Million US$)\")\n", "\n", "\n", "xvals = np.arange(2011, 2022, 2)\n", "yvals = np.linspace(0.80, 0.98, 10)\n", "ax.set_xticks(xvals)\n", "ax.set_yticks(yvals)\n", "\n", "\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.legend(loc='best')\n", "plt.grid(True)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "5a234940", "metadata": {}, "source": [ "### j. Using Annotation" ] }, { "cell_type": "code", "execution_count": 28, "id": "fa2d0465", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "medicine_exports = [0.791, 0.818, 0.832, 0.816, 0.840, 0.833, 0.835, 0.838, 0.842, 0.910, 0.930, 0.940]\n", "\n", "\n", "fig = plt.figure(figsize=(12,6))\n", "ax = fig.add_subplot()\n", "\n", "ax.plot(years, chemical_exports, label=\"Chemicals\", marker='o', c='b', ls='-', lw=2)\n", "ax.plot(years, medicine_exports, label=\"Medicines\", marker='x', c='r', ls=':', lw=2)\n", "\n", "ax.set_xlabel(\"Years\")\n", "ax.set_ylabel(\"Amount (Million US$)\")\n", "\n", "\n", "xvals = np.arange(2011, 2022, 2)\n", "yvals = np.linspace(0.80, 0.98, 10)\n", "ax.set_xticks(xvals)\n", "ax.set_yticks(yvals)\n", "\n", "\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.legend(loc='best')\n", "\n", "plt.annotate(\"Peak of Chemical Exports\", xy=(2016,0.95))\n", "\n", "plt.grid(True)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "d7e78122", "metadata": {}, "source": [ "### k. Using Built-in Styles" ] }, { "cell_type": "code", "execution_count": 29, "id": "87878138", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['Solarize_Light2',\n", " '_classic_test_patch',\n", " '_mpl-gallery',\n", " '_mpl-gallery-nogrid',\n", " 'bmh',\n", " 'classic',\n", " 'dark_background',\n", " 'fast',\n", " 'fivethirtyeight',\n", " 'ggplot',\n", " 'grayscale',\n", " 'seaborn',\n", " 'seaborn-bright',\n", " 'seaborn-colorblind',\n", " 'seaborn-dark',\n", " 'seaborn-dark-palette',\n", " 'seaborn-darkgrid',\n", " 'seaborn-deep',\n", " 'seaborn-muted',\n", " 'seaborn-notebook',\n", " 'seaborn-paper',\n", " 'seaborn-pastel',\n", " 'seaborn-poster',\n", " 'seaborn-talk',\n", " 'seaborn-ticks',\n", " 'seaborn-white',\n", " 'seaborn-whitegrid',\n", " 'tableau-colorblind10']" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plt.style.available" ] }, { "cell_type": "code", "execution_count": 35, "id": "e9a8cf9a", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "medicine_exports = [0.791, 0.818, 0.832, 0.816, 0.840, 0.833, 0.835, 0.838, 0.842, 0.910, 0.930, 0.940]\n", "\n", "\n", "fig = plt.figure(figsize=(12,6))\n", "ax = fig.add_subplot()\n", "\n", "ax.plot(years, chemical_exports, label=\"Chemicals\", marker='o', c='b', ls='-', lw=2)\n", "ax.plot(years, medicine_exports, label=\"Medicines\", marker='x', c='r', ls=':', lw=2)\n", "\n", "ax.set_xlabel(\"Years\")\n", "ax.set_ylabel(\"Amount (Million US$)\")\n", "\n", "\n", "xvals = np.arange(2011, 2022, 2)\n", "yvals = np.linspace(0.80, 0.98, 10)\n", "ax.set_xticks(xvals)\n", "ax.set_yticks(yvals)\n", "\n", "\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.legend(loc='best')\n", "\n", "plt.annotate(\"Peak of Chemical Exports\", xy=(2016,0.95))\n", "\n", "plt.grid(True)\n", "\n", "plt.style.use('default')\n", "#plt.style.use('dark_background')\n", "#plt.style.use('fivethirtyeight')\n", "#plt.style.use('ggplot')\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "c642fe8d", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "366cdf70", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "3f7133a1", "metadata": {}, "source": [ "### l. Saving the Graph" ] }, { "cell_type": "code", "execution_count": null, "id": "d4fd2342", "metadata": {}, "outputs": [], "source": [ "xvals" ] }, { "cell_type": "code", "execution_count": null, "id": "985650a2", "metadata": {}, "outputs": [], "source": [ "\n", "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "\n", "medicine_exports = [0.791, 0.818, 0.832, 0.816, 0.840, 0.833, 0.835, 0.838, 0.842, 0.910, 0.930, 0.940]\n", "\n", "\n", "fig = plt.figure(figsize=(12,6))\n", "ax = fig.add_subplot()\n", "\n", "ax.plot(years,chemical_exports, label=\"Chemicals\", marker='o', c='b', ls='-', lw=2)\n", "ax.plot(years,medicine_exports, label=\"Medicines\", marker='x', c='r', ls=':', lw=2)\n", "\n", "ax.set_xlabel(\"Years\")\n", "ax.set_ylabel(\"Amount (Million US$)\")\n", "\n", "\n", "xvals = np.arange(2011, 2022, 2)\n", "yvals = np.linspace(0.80, 0.98, 10)\n", "ax.set_xticks(xvals)\n", "ax.set_yticks(yvals)\n", "\n", "\n", "plt.title(\"LCI Exports in last 12 years\")\n", "\n", "plt.legend(loc='best')\n", "\n", "plt.annotate(\"Peak of Chemical Exports\", xy=(2016,0.95))\n", "\n", "plt.grid(True)\n", "\n", "plt.style.use('default')\n", "#plt.savefig(\"mychart.png\") # can use .pdf, .ps, .eps, .svg formats\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "54e59300", "metadata": {}, "outputs": [], "source": [ "!ls -l mychart.png" ] }, { "cell_type": "code", "execution_count": null, "id": "14abaaf7", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "633c7f14", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "d0d53b42", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "a3c0d2b7", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "91fd56d3", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "bf0e351c", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "cbdde009", "metadata": {}, "source": [ "## 7. Sub-Plots" ] }, { "cell_type": "code", "execution_count": null, "id": "0e350578", "metadata": {}, "outputs": [], "source": [ "fig, ax = plt.subplots(nrows=3, ncols=3)\n", "print(ax)" ] }, { "cell_type": "code", "execution_count": null, "id": "464c0f8c", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "2a09854a", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "86674753", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "382675ca", "metadata": {}, "source": [ "### a. Multiple Axes Objects within a Figure Object" ] }, { "cell_type": "code", "execution_count": null, "id": "4af95b89", "metadata": {}, "outputs": [], "source": [ "from matplotlib import pyplot as plt\n", "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "medicine_exports = [0.791, 0.818, 0.832, 0.816, 0.840, 0.833, 0.835, 0.838, 0.842, 0.910, 0.930, 0.940]\n", "\n", "fig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1)\n", "\n", "ax1.plot(years, chemical_exports, label='Chemicals', marker='o', c='b', ls='-', lw=2) \n", "ax1.set_title(\"LCI Chemical exports in last 12 years\")\n", "ax1.set_xlabel(\"Years\")\n", "ax1.set_ylabel(\"Amount (Million Rs.)\")\n", "\n", "ax2.plot(years, medicine_exports, label='Medicines', marker='x', c='r', ls=':', lw=2) \n", "ax2.set_title(\"LCI Medicine exports in last 12 years\")\n", "ax2.set_xlabel(\"Years\")\n", "ax2.set_ylabel(\"Amount (Million Rs.)\")\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "7accd758", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "15df014e", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "939c4f39", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "353b9e1a", "metadata": {}, "source": [ "### b. Multiple Figure Objects Having Single Axes" ] }, { "cell_type": "code", "execution_count": null, "id": "643033db", "metadata": {}, "outputs": [], "source": [ "from matplotlib import pyplot as plt\n", "chemical_exports = [0.810, 0.831, 0.895, 0.91, 0.915, 0.926, 0.945, 0.931, 0.919, 0.921, 0.920, 0.919]\n", "years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]\n", "medicine_exports = [0.791, 0.818, 0.832, 0.816, 0.840, 0.833, 0.835, 0.838, 0.842, 0.910, 0.930, 0.940]\n", "\n", "\n", "fig1, ax1 = plt.subplots()\n", "fig2, ax2 = plt.subplots()\n", "\n", "ax1.plot(years, chemical_exports, label='Chemicals', marker='o', c='b', ls='-', lw=2) \n", "ax1.set_title(\"LCI Chemical exports in last 12 years\")\n", "ax1.set_xlabel(\"Years\")\n", "ax1.set_ylabel(\"Amount (Million Rs.)\")\n", "\n", "ax2.plot(years, medicine_exports, label='Medicines', marker='x', c='r', ls=':', lw=2) \n", "ax2.set_title(\"LCI Medicine exports in last 12 years\")\n", "ax2.set_xlabel(\"Years\")\n", "ax2.set_ylabel(\"Amount (Million Rs.)\")\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "93b60540", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "4a7fd912", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "eeb9f103", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "d8cc0888", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "4d4eaa70", "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": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 5 }