{ "cells": [ { "cell_type": "markdown", "id": "5501fb16-37c8-4287-bf0c-2e9d32fdefba", "metadata": {}, "source": [ "# Subplots\n", "---" ] }, { "cell_type": "markdown", "id": "18016928-dcdf-4ffa-8855-f7a1bc4aedda", "metadata": {}, "source": [ "## Questions\n", "- How can I make a figure containing more than one plot?\n", "\n", "## Learning Objectives\n", "- Generate figures with subplots, using object-oriented plotting in Matplotlib\n", "- Modify properties of figure subplots, such as size and layout" ] }, { "cell_type": "markdown", "id": "907a8f6c-9ded-42a5-8a6b-7542b84e5c16", "metadata": {}, "source": [ "## Introduction\n", "\n", "A great feature of Matplotlib is that you can create a single figure with multiple panels, or subplots. We'll get lots of practice doing this in the section on single unit data. \n", "\n", "As you might have intuited, the `plt.subplots()` function can be used to create a figure with multiple subplots. Its default is to create a single (sub)plot, but we can create more subplots by passing arguments indicating the number of rows and columns of subplots we want (thinking of subplots as a 2D grid). \n", "\n", "For example, to create a figure with one row and two columns of subplots, we would use:\n", "~~~python\n", "fig, axs = plt.subplots(nrows=1, ncols=2)\n", "~~~\n", "\n", "You can actually omit the `nrows=` and `ncols=` kwargs, and just use:\n", "~~~python\n", "fig, axs = plt.subplots(1, 2)\n", "~~~\n", "\n", "Matplotlib assumes the first two arguments are the number of subplot rows and columns. This is more compact code, although less transparent/explicit than using `nrows=` and `ncols=`\n", "\n", "Note that in the above examples, we have replaced `ax` with `axs`. This is a convention, not a requirement, but it makes explicit the fact that the `ax` variable now contains multiple axes objects, which is how we specify which subplot to draw into with any command.\n", "\n", "Try running the following code, which will generate a figure with two subplots, and print out what the `axs` object contains:" ] }, { "cell_type": "code", "execution_count": 1, "id": "24e0068d-7972-4402-9858-fb0166558b52", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ ]\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "x = range(0, 10)\n", "y = range(0, 10)\n", "\n", "fig, axs = plt.subplots(nrows=1, ncols=2)\n", "print(axs)" ] }, { "cell_type": "markdown", "id": "2034ad91-9586-43bc-ad74-046aeb88b21a", "metadata": {}, "source": [ "The output is a little confusing because the `plt.subplots()` function generates an empty plot, but this appears under the result of printing the `axs`, even though the plot command was run first. \n", "\n", "Regardless, note that the `axs` object contains two `AxesSubplot` objects. This means that to access (and draw into) one of these objects, we can use indexing on `axs`. For example, to draw into the first subplot, we can use `axs[0]`:" ] }, { "cell_type": "code", "execution_count": 2, "id": "fe867c9a-a28e-4853-9447-0cec8d0084f1", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(nrows=1, ncols=2)\n", "axs[0].plot(x, y)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "357b01d5-c3be-497e-bc14-2d884079d9f4", "metadata": {}, "source": [ "To draw into the second subplot, we use `axs[1]`:\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "33b84ea9-7172-4dac-8339-31850e9e13c5", "metadata": {}, "outputs": [ { "data": { "image/png": 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6R6RHaViIdEHVsWZ+vaoCgJ/fmEVcVKjhIvEndruNhXlO7DZYtvUga3YcMZ0k0mM0LES6YP6SMlo7PHxuaAI3XTrIdI74oZyBcdw6rvPVWQsWldDa4TZcJNIzNCxEzmFlWQ1vldcQcvKrTptNF2zK+bn7+hEkx4Sz52gzv1uzy3SOSI/QsBA5i+Z2Fw8uLgXgtqszGJESY7hI/FlMRChzp2cD8NTqXeypbTJcJOJ9GhYiZ/GbVTs5cKKFgXERzJ443HSOBIDpowcwfngS7S4P8xaXYlm6SZkEFg0LkTPYebiBZ9dWAlCQm0NUWIjhIgkENpuNBTNzCHPYeXfHEd4oOWQ6ScSrNCxEPoNlWcwtLqXDbfGFzGQmZ6eYTpIAktGvDz+8JgPovDC4sc1luEjEezQsRD7D4s3VvF95lPAQO/Nzc3TBpnjdrOuGk5oQyaH6Vp58u8J0jojXaFiI/Ju6lg4KT76I0Y+/MJzUhCjDRRKIIkIdLMjtvEnZH9ftZtuhesNFIt6hYSHybx57czu1jW1kJEXzXxMyTOdIALsuM5kpOSm4PRb5r5Xg8ehCTvF/GhYi/2Lr/jr++sFeABbMdBIe4jBcJIFu3owcIkMdfLz3OP/YtN90jsgF07AQOcntscgv3orHghkXD2T8iCTTSRIEBsVHcuekEQAULd/GieZ2w0UiF0bDQuSklz/ax+b9dfQJDyF/WpbpHAki37tqKCOS+3CsqZ1HVmw3nSNyQTQsRIDaxjYeeaPzQP/J5JGkxEYYLpJgEhZiZ2Fe54WcL23Yxyf7jhsuEjl/GhYiQNHr26hr6SB7QCzfujLNdI4Eoc9lJPLFywZhWZBfXIJbF3KKn9KwkKD3YeXRUxfNLbzJSYhDnxZixpypWcRGhFBaXc9f399jOkfkvOgElaDW4fYwd1EJADePTeWyIX0NF0kw6xcTzs9uyATgV2/u4HB9q+Eike7TsJCg9tx7u9lR00jfqFDunZJpOkeEb4wdwujBcTS0uXjo9XLTOSLdpmEhQav6RAtPvNX5UspzpmbRNzrMcJEIOOw2FuY5sdlg0afVrN9ZazpJpFs0LCRoFS4to7ndzZi0vnz58sGmc0ROGT04/tRFxPmLSmh3eQwXiXSdhoUEpXe2H2Z5ySEcdhuFeU7sdt1kTHzLTyaPIqlPGJVHmnh2baXpHJEu07CQoNPa4aZgUSkA3x2XTtaAWMNFIv8pLjKUB06+UNuvV1VQdazZcJFI12hYSNB5avUu9h1rJiU2nLuuH2k6R+SM8i4ZxOeGJtDa4WH+klLTOSJdomEhQWV3bRO/W70LgHnTc+gTHmK4SOTMbLbOCzlD7DbeKj/MyrIa00ki56RhIUHDsizmLSqh3e3h6hFJ3HhRf9NJIuc0IiWG267OAODBxaU0t7sMF4mcnYaFBI3Xtx5ibUUtYSF2Cmc6sdl0wab4h9kThzMoPpIDJ1r4zaqdpnNEzkrDQoJCQ2sHC5Z2fo/69muGkZ4UbbhIpOuiwkIomJENwLNrK9l5uMFwkciZaVhIUHjirQpq6ttIS4zi9muHmc4R6bbrs1OYmJlMh9tibnEplqWblIlv0rCQgFdWXc+f1+8B4MHcHCJCHWaDRM6DzWbjwdwcwkPsvF95lMWbq00niXwmDQsJaB6PxdxFnbegnursz3Wjkk0niZy31IQofvyF4QAULi2nvrXDcJHIf9KwkID294372bj3OFFhDuZOzzadI3LB/mtCBhn9oqltbONXK7abzhH5DxoWErCON7VTtLzz7pB3TxrJwPhIw0UiFy48xEHhTCcAf/1gL1v31xkuEjmdhoUErF++sY3jzR2MSonh1qvSTeeIeM1Vw5PIvXggHgvyi7fi9uhCTvEdGhYSkDbuPc7LH1UBsPAmJ6EO/VWXwJI/LYs+4SFs3l/Hyx/tM50jcopOWwk4LreH/OISAL58+WCuSE8wXCTifcmxEfxkcue9bh55Yzu1jW2Gi0Q6aVhIwPnL+3spP1hPXGQoc6Zmms4R6THfujKN7AGx1LV08Ivl20zniAAaFhJgaupbeWzlDgDuvWEUiX3CDReJ9JwQh52FNzmx2Tp/AmrD7mOmk0Q0LCSwLFxWTmObi4tT47n5iiGmc0R63GVD+vL1k3/X5xaX0OH2GC6SYKdhIQFjbcURlmyuxm6Dh/Kc2O26yZgEh3unjCIhOoztNQ08995u0zkS5DQsJCC0udzMW9R5k7Fvfz4d56A4w0UivadvdBj3n7ye6Im3Kqg+0WK4SIKZhoUEhGfWVLK7tomkPuHcc/JKeZFg8uXLBjMmrS/N7W4Kl5aZzpEgpmEhfm/f0WZ+885OAOZOzyI2ItRwkUjvs9ttFOY5cdhtLC85xDvbD5tOkiClYSF+zbIsChaX0ObyMG5YIrkXDzSdJGJM1oBYvjsuHYCCRaW0drjNBklQ6vawOHDgALfccguJiYlERUVxySWXsHHjxp5oEzmnN8tqeGf7EUIdNhbMdGKz6YJNX6Wzo3fcdf1I+sdGsO9YM0+v3mU6R4JQt4bF8ePHueqqqwgNDWX58uWUlZXxq1/9ivj4+B7KEzmzpjYX8xd3XrD5gwkZDE/uY7hIzkRnR+/pEx7CvBmdd/J9evUudtc2GS6SYBPSnV/8y1/+ktTUVJ577rlT70tPT/d2k0iXPLmqguq6VgbFR3LHdSNM58hZ6OzoXVOd/Zkwsh/v7jjCvEUl/OV7Y/VsnvSabj1jsXjxYsaMGcNXvvIVkpOTufTSS3n22WfP+jFtbW3U19ef9iZyoXbUNPDHtZ0/rz8/N4fIMIfhIjmb7p4dOjcujM1mY0FuDmEhdtZW1LJs60HTSRJEujUsKisrefrppxkxYgQrVqzgRz/6EbNnz+Yvf/nLGT+mqKiIuLi4U2+pqakXHC3BzbIs8otLcHksJmWlMCk7xXSSnEN3zw6dGxcuPSma268ZBkDh0jIa21yGiyRY2CzLsrr6i8PCwhgzZgzr168/9b7Zs2fz0Ucf8f7773/mx7S1tdHW9n933auvryc1NZW6ujpiY2MvIF2C1aub9nPP3zYTEWpn5d3XkJoQZTrJr9TX1xMXF9ern4PdPTt0bnhHa4ebKU+8y96jzdw2fij507NNJ4kf6+rZ0a1nLAYMGEB29ul/MbOysti3b98ZPyY8PJzY2NjT3kTOV11zBw+/Xg7A7IkjNCr8RHfPDp0b3hER6mB+bg4Az63fQ/lBfUtJel63hsVVV13F9u3bT3vfjh07SEtL82qUyJk8+uZ2ahvbGdYvmtvGZ5jOkS7S2WHOtaOSufGi/rg9nd9C9Hi6/CS1yHnp1rC4++67+eCDD3j44YfZuXMnL774Is888wyzZs3qqT6RUzZXneCFD/cCUJjnJCxEr+/mL3R2mDV3ejZRYQ427j3O3zfuN50jAa5bJ/MVV1zBa6+9xksvvYTT6aSwsJAnnniCb37zmz3VJwJw6qsty4K8SwYybliS6STpBp0dZg2Ii+TuSZ330ClaXs7xpnbDRRLIunXxpjeYuHBM/N9f39/D3EWlxISH8PZPryE5JsJ0kt/yx89Bf2z2NR1uD9OfXMf2mgZuHptK0RdHm04SP9MjF2+KmHCkoY1HVnR+f/6nU0ZpVIich1CHnYU3OQF4aUMVm/YdN1wkgUrDQnxe0evlNLS6cA6K5ZYrdbGfyPm6Ij2BL18+GID810pwuT2GiyQQaViIT/ug8iivfnIAmw0W5l2Ew66XJRa5EHOmZhIXGUrZwXr++sFe0zkSgDQsxGe1uzzkF5cA8I2xQ7gkNd5skEgASOwTzn03ZALwqzd3UFPfarhIAo2GhfisP67bzc7DjSRGh3HvlEzTOSIB4+tXpHJxajyNbS4WLis3nSMBRsNCfNL+4808+XYFAHNuzCIuKtRwkUjgsNttPJTnxG6DJZurWVdRazpJAoiGhfikBUvKaOlwMzY9gS9dNsh0jkjAcQ6K49ufTwdg3qIS2lxus0ESMDQsxOe8XV7Dm2U1hNhtFOY5sdl0waZIT7hn8kj6xYRTWdvEs+9Wms6RAKFhIT6lpd1NweJSAL4/fiij+scYLhIJXLERoeRPywLg16t2UnWs2XCRBAINC/EpT63eyf7jLQyIi2D2xBGmc0QCXu7FAxk3LJE2l4eCxaX08osxSwDSsBCfsetII79bswuAghnZRIeHGC4SCXw2m40FM52EOmys2naYN8tqTCeJn9OwEJ9gWRbzFpXQ4ba4dlQ/puT0N50kEjSGJ/fhBxMyAJi/uJTmdpfhIvFnGhbiE5ZsOch7O48SFmJnfm6OLtgU6WV3XDeCQfGRVNe18uTbO03niB/TsBDj6ls7KFxaBsCsa4eTlhhtuEgk+ESGOZifmwPAH9ZWUlHTYLhI/JWGhRj3+ModHGloIz0xih9ek2E6RyRoTcpOYVJWCi6PRX5xiS7klPOiYSFGlVbX8fz6PQAsmOkkItRhNkgkyD2Ym01EqJ0Pdx+j+NMDpnPED2lYiDGek18VeSyYNnoAE0b2M50kEvQG94069aPeDy0rp66lw3CR+BsNCzHmlY+r+GTfCaLDHMydlm06R0ROum18BsP6RVPb2M6jK7abzhE/o2EhRhxtbOMXy7cBcPf1I+kfF2G4SET+KSzETmGeE4AXPtzLlv0nzAaJX9GwECN++cY26lo6yOwfw63j0k3niMi/GTcsibxLBmJZkF9cgtujCzmlazQspNd9vOcYf/t4PwAL85yEOPTXUMQX/XxaFjHhIWzZX8eLG/aZzhE/oRNdepXL7SG/uASAr44ZzJj0BMNFInImyTER/HTKKAAeeWMbRxraDBeJP9CwkF715/V72HaogfioUO6fmmU6R0TO4ZYr03AOiqWh1UXR8nLTOeIHNCyk1xysa+HxlTsAuP+GTBKiwwwXici5OOw2FuZdhM0Gr246wAeVR00niY/TsJBes3BpOU3tbi4dEs9Xx6SazhGRLrokNZ5vjB0CwNziEtpdHsNF4ss0LKRXrNlxhGVbD2K3dV6wabfrJmMi/uTeKZkkRodRcbiRP72323SO+DANC+lxrR1uChZ1XrD5nXHp5AyMM1wkIt0VFxXKnBs7r4v6n7cqOHCixXCR+CoNC+lxv19TyZ6jzSTHhHPP9SNN54jIefrSZYMYm55AS4ebBUtKTeeIj9KwkB6192gTv129E4C507OJiQg1XCQi58tms1GY5yTEbmNFaQ2rttWYThIfpGEhPcayLOYtKqXd5WH88CSmjx5gOklELtCo/jF8f/xQAAoWl9La4TZcJL5Gw0J6zBslh1iz4whhDjsLZuZgs+mCTZFAMHviCAbERVB1rIXfvrPTdI74GA0L6RGNbS7mLykD4AcTMsjo18dwkYh4S3R4CAUzOu9I/Ps1lew60mi4SHyJhoX0iCffruBQfSupCZHc8YXhpnNExMum5PTn2lH9aHd7KFhUimXpJmXSScNCvG77oQb+uK7z59wfnJFDRKjDcJGIeJvNZmN+bg5hIXbW7axl6ZaDppPER2hYiFdZlkV+8VbcHovJ2SlMzEoxnSQiPSQtMZpZ13Y+I1m4tIyG1g7DReILNCzEq/6x6QAf7TlOZKiDgtwc0zki0sN+eE0GQ5OiOdzQxuMrK0zniA/QsBCvOdHczsOvd9798M5JIxgUH2m4SER6WkSog/knv4j48/rdlFbXGS4S0zQsxGseWbGdY03tjEjuw/euGmo6R0R6yYSR/Zg2egAeC/KLS/B4dCFnMNOwEK/4ZN9xXtqwD4DCPCdhIfqrJRJM5k7LJjrMwSf7TvC3j6tM54hBOv3lgrk9FvnFJVgWfPHSQVyZkWg6SUR6Wf+4CO4+eS+gX7yxjWNN7YaLxBQNC7lgL3ywl9LqemIjQk7d/VBEgs+t49LJ7B/DieYOfrl8m+kcMUTDQi7I4YZWHl2xHYCf3ZBJv5hww0UiYkqIw85DNzkBeOXjKjbuPWa4SEzQsJAL8tCychraXIweHMc3xg4xnSMihl2elsDXxqQC8MBrJbjcHsNF0ts0LOS8rd9Zy6JPq7HZYGGeE4ddNxkTEbhvaibxUaFsO9TAn9fvMZ0jvUzDQs5Lu8tD/qISAG75XBqjB8ebDRIRn5EQHcb9N2QC8PjKHRyqazVcJL1Jw0LOy7NrK6k80kRSnzB+OnmU6RwR8TFfHZPKpUPiaWp3U7iszHSO9CINC+m2qmPN/HpV50v3/vzGLOKiQg0XiYivsdttLMxzYrfBsi0HeXfHEdNJ0ks0LKTb5i8po7XDw+eGJnDTpYNM54iIj8oZGMet4zpfhXfeohJaO9yGi6Q3aFhIt6wsq+Gt8hpCTn41YrPpgk0RObO7rx9Bckw4e4428/s1laZzpBdoWEiXNbe7eHBxKQC3XZ3BiJQYw0Ui4utiIkKZOz0bgN+u3sneo02Gi6SnaVhIl/1m1U4OnGhhYFwEsycON50jIn5i+ugBjB+eRLvLw7xFpViWblIWyDQspEt2Hm7g2bWdT2MW5OYQFRZiuEhE/IXNZmPBzBzCHHbW7DjCitJDppOkB2lYyDlZlsXc4lI63BZfyExmcnaK6SQR8TMZ/frww2sygM4LwJvaXIaLpKdoWMg5Ld5czfuVRwkPsTM/N0cXbIrIeZl13XBSEyI5WNfKk29XmM6RHqJhIWdV19JB4dJyAH78heGkJkQZLhIRfxUR6mBBbudNyv64bjfbDzUYLpKeoGEhZ/XYm9upbWwjIyma/5qQYTpHRPzcdZnJTMlJweWxyC/eqgs5A5CGhZzR1v11/PWDvQAsmOkkPMRhuEhEAsG8GTlEhjr4aM9x/rHpgOkc8TINC/lM7pNfTXgsmHHxQMaPSDKdJCIBYlB8JHdOGgFA0evlnGhuN1wk3qRhIZ/p5Y/2sXl/HX3CQ8iflmU6R0QCzPeuGsqI5D4cbWrnv1dsN50jXqRhIf+htrGNR97o/ET/yeSRpMRGGC4SkUATFmJnYV7nhZwvbtjHp1UnzAaJ12hYyH8oen0bdS0dZA+I5VtXppnOEZEA9bmMRL542SAsC/KLt+L26ELOQKBhIaf5sPIo/9i0H4CFNzkJceiviIj0nDlTs4iNCKHkQD0vnLxYXPyb/tWQUzrcHuYuKgHg5rGpXDakr+EiEQl0/WLC+dkNmQA8umI7hxtaDRfJhdKwkFOee283O2oa6RsVyr1TMk3niEiQ+MbYIYweHEdDm4uHl5WbzpELdEHDoqioCJvNxl133eWlHDGl+kQLT7zV+RK7c6Zm0Tc6zHCRBCqdG/LvHHYbC/Oc2GxQ/Gk163fVmk6SC3Dew+Kjjz7imWeeYfTo0d7sEUMKl5bR3O5mTFpfvnz5YNM5EqB0bsiZjB4cf+pi8bnFJbS7PIaL5Hyd17BobGzkm9/8Js8++yx9++r78P7une2HWV5yCIfdRmGeE7tdNxkT79O5Iefyk8mjSOoTxq4jTTy7ttJ0jpyn8xoWs2bNYtq0aUyaNOmcv7atrY36+vrT3sR3tHa4KVhUCsB3x6WTNSDWcJEEKp0bci5xkaE8cPIF+X69qoKqY82Gi+R8dHtYvPzyy2zatImioqIu/fqioiLi4uJOvaWmpnY7UnrOU6t3se9YMymx4dx1/UjTORKgdG5IV+VdMogrMxJo7fAwf0mZ6Rw5D90aFlVVVdx555288MILRER07dUY58yZQ11d3am3qqqq8woV79td28TvVu8CYN70HPqEhxgukkCkc0O6w2azUTjTSYjdxlvlNawsqzGdJN1ks7pxz9ri4mJuuukmHI7/u8ul2+3GZrNht9tpa2s77X/7LPX19cTFxVFXV0dsrJ52N8WyLL79pw2srajl6hFJ/OV7Y7HZdG1FMOjtz0GdG3I+frF8G79bs4tB8ZG8dc81RIbp7sqmdfXzsFtfok6cOJGtW7ee9r7vfve7ZGZmct99953zcBDf8frWQ6ytqCUsxE7hTKdGhfQYnRtyPmZPHM6SzdUcONHCb96p4Gd6bR2/0a1hERMTg9PpPO190dHRJCYm/sf7xXc1trlYsLTzgs3brxlGelK04SIJZDo35HxEhYVQMCObH/x1I8+8W8lNlw5ieHKM6SzpAr3yZhB6fOUOaurbSEuM4vZrh5nOERH5TNdnpzAxM5kOt8Xc4lK68Z17MeiCr9ZbvXq1FzKkt5RV1/Pn9XsAeDA3h4hQPQ0tvU/nhnSFzWbjwdwc1u2s5f3KoyzeXM3MSwaZzpJz0DMWQcTjsZi7qAS3x2Kqsz/XjUo2nSQiclapCVH8+AvDAShcWk59a4fhIjkXDYsg8veN+9m49zhRYQ7mTs82nSMi0iX/NSGDjH7R1Da28dibO0znyDloWASJ403tFC3vvGvg3ZNGMjA+0nCRiEjXhIc4KJzZeaHvX97fQ8mBOsNFcjYaFkHikRXbON7cwaiUGG69Kt10johIt1w1PInciwfiseCB4s5v6Ypv0rAIApv2HeelDZ2vXLjwJiehDv1nFxH/kz8tiz7hIWyuOsHLH+0znSNnoH9hApzL7eGB10oA+PLlg7kiPcFwkYjI+UmOjeAnkzvvafTIG9upbWwzXCSfRcMiwP3l/b2UH6wnLjKUOVP1ynUi4t++dWUa2QNiqWvp4BfLt5nOkc+gYRHAaupbeWxl5xXU994wisQ+4YaLREQuTIjDzsKbnNhsnT/ptmH3MdNJ8m80LALYwmXlNLa5uDg1npuvGGI6R0TEKy4b0pevnzzT5haX0OH2GC6Sf6VhEaDWVdSyZHM1dhs8lOfEbtdNxkQkcNw7ZRQJ0WFsr2ngufd2m86Rf6FhEYDaXG7mLeq8YPPbn0/HOSjOcJGIiHf1jQ7j/pPXjT3xVgXVJ1oMF8k/aVgEoGffraSytomkPuHcc/IKahGRQPPlywYzJq0vze1uCpeWmc6RkzQsAkzVsWZ+vWonAHOnZxEbEWq4SESkZ9jtNgrznDjsNpaXHOKd7YdNJwkaFgHFsiwKFpfS5vIwblgiuRcPNJ0kItKjsgbE8t1x6QAULCqltcNtNkg0LALJm2U1rNp2mFCHjQUzndhsumBTRALfXdePpH9sBPuONfP06l2mc4KehkWAaG53MX9xKQA/mJDB8OQ+hotERHpHn/AQ5s3ovGPz06t3sbu2yXBRcNOwCBBPvr2T6rpWBsVHcsd1I0zniIj0qqnO/kwY2Y92t4d5i0qwLN2kzBQNiwBQUdPAH9ZWAjA/N4fIMIfhIhGR3mWz2ViQm0NYiJ21FbW8vvWQ6aSgpWHh5yzLIr+4BJfHYlJWCpOyU0wniYgYkZ4Uze3XDANgwdJSGttchouCk4aFnyv+9AAf7j5GRKidgpPfYxQRCVa3XzuMtMQoaurbeOLkvZKkd2lY+LG65g4eWlYOwOyJI0hNiDJcJCJiVkSog/m5OQA8t34P5QfrDRcFHw0LP/bom9upbWxnWL9obhufYTpHRMQnXDsqmRsv6o/b0/mtYo9HF3L2Jg0LP7Vl/wle+HAvAIV5TsJC9J9SROSf5k7PJirMwca9x/n7xv2mc4KK/jXyQ/9c4ZYFeZcMZNywJNNJIiI+ZUBcJHdP6rxXUtHyco43tRsuCh4aFn7oxQ372LK/jpjwEH4+Lct0joiIT7r1qnRGpcRwvLmDR1ZsM50TNDQs/MyRhjYeeaPzE+SnU0aRHBNhuEhExDeFOuwsvMkJwEsbqti077jhouCgYeFnipaX09DqwjkolluuTDOdIyLi065IT+Arlw8GIP+1Elxuj+GiwKdh4Uc+qDzKq5sOYLPBwryLcNh1kzERkXO5f2omcZGhlB2s5y/v7zWdE/A0LPxEu8vD3OISAL4xdgiXpMabDRIR8ROJfcK574ZMAB5buYOa+lbDRYFNw8JP/Om93VQcbiQxOox7p2SazhER8StfvyKVi1PjaWxzUbi0zHROQNOw8AMHTrTwP29VADDnxiziokINF4mI+Be73cZDeU7sNli65SDrKmpNJwUsDQs/sGBJKS0dbsamJ/ClywaZzhER8UvOQXF8+/PpAMxbVEKby202KEBpWPi4VdtqWFFaQ4jdRmGeE5tNF2yKiJyveyaPpF9MOJW1TTz7bqXpnICkYeHDWjvcFCwuBeD744cyqn+M4SIREf8WGxFK/skXFvz1qp1UHWs2XBR4NCx82G/f2UnVsRYGxEUwe+II0zkiIgEh9+KBjBuWSJvLQ8HiUixLNynzJg0LH7XrSCO/X9P5NF3BjGyiw0MMF4mIBAabzcaCmU5CHTZWbTvMm2U1ppMCioaFD7Isi4JFpbS7PVw7qh9TcvqbThIRCSjDk/vwgwkZAMxfXEpzu8twUeDQsPBBS7ccZN3OWsJC7MzPzdEFmyIiPeCO60YwKD6S6rpWnnx7p+mcgKFh4WMaWjtOvXjLrGuHk5YYbbhIRCQwRYY5mJ+bA8Af1lZSUdNguCgwaFj4mMdXVnC4oY2hSdH88JoM0zkiIgFtUnYK12en4PJY5BeX6EJOL9Cw8CGl1XX8ef1uAObn5hAR6jBcJCIS+ApmZBMRaufD3cd47ZMDpnP8noaFj/CcXMseC6aNHsCEkf1MJ4mIBIXBfaNO/Uj/w6+XU9fcYbjIv2lY+Ii/fVzFJ/tOEB3mYO60bNM5IiJB5bbxGQzrF01tYzuPvrnddI5f07DwAcea2vnFG9sAuPv6kfSPizBcJCISXMJC7BTmOQF44cO9bNl/wmyQH9Ow8AG/XL6NE80dZPaP4dZx6aZzRESC0rhhSeRdMhDLgvziEtweXch5PjQsDNu49xivfFwFwEM3OQlx6D+JiIgpP5+WRUxECFv21/Hihn2mc/yS/hUzyOX28MBrJQB8bUwql6clGC4SEQluyTER/GzKKAAeeWMbRxraDBf5Hw0Lg/68fg/bDjUQHxXKfVMzTeeIiAjwzc+l4RwUS0Ori6LXy03n+B0NC0MO1bXy+ModANx/QyYJ0WGGi0REBMBht7Ew7yJsNnj1kwN8UHnUdJJf0bAwpHBZGU3tbi4dEs9Xx6SazhERkX9xSWo83xg7BIC5xSW0uzyGi/yHhoUB7+44wrItB7HbYGGeE7tdNxkTEfE1907JJDE6jIrDjfzpvd2mc/yGhkUva+1wM29R5wWb3xmXTs7AOMNFIiLyWeKiQplzYxYA//NWBQdOtBgu8g8aFr3smXcr2XO0meSYcO65fqTpHBEROYsvXTaIsekJtHS4WbCk1HSOX9Cw6EV7jzbxm3d2AjB3ejYxEaGGi0RE5GxsNhuFeU5C7DZWlNawaluN6SSfp2HRSyzLomBxKe0uD+OHJzF99ADTSSIi0gWj+sfw/fFDAShYXEpLu9twkW/TsOglK0oPsXr7EcIcdhbMzMFm0wWbIiL+YvbEEQyIi6DqWAtPrd5pOsenaVj0gqY2F/OXlAHww2syyOjXx3CRiIh0R3R4CAUzOu88/fs1lew60mi4yHdpWPSCJ9+u4GBdK6kJkcy6brjpHBEROQ9Tcvpz7ah+tLs9FCwqxbJ0k7LPomHRw7YfauCP6zp//nl+bg4RoQ7DRSIicj5sNhvzc3MID7GzbmctS7ccNJ3kkzQsepBlWcwtLsHlsZiSk8IXMlNMJ4mIyAVIS4w+9cxz4dIyGlo7DBf5Hg2LHvSPTQfYsOcYkaEO5s3IMZ0jIiJe8IMJGQxNiuZwQxuPnbznk/wfDYsecqK5/dRd8e6cNIJB8ZGGi0RExBsiQh3Mz+38YvH59Xsora4zXORbNCx6yH+v2M7RpnZGJPfhe1cNNZ0jIiJeNGFkP6aNHoDHgvziEjweXcj5TxoWPeDTqhO8uGEfAIV5TsJC9McsIhJo5k7LJjrMwSf7TvC3j6tM5/iMbv2LV1RUxBVXXEFMTAzJycnk5eWxffv2nmrzS26PRX7xViwLvnjpIK7MSDSdJGKczg4JRP3jIrj75D2ffvHGNo41tRsu8g3dGhZr1qxh1qxZfPDBB6xcuRKXy8XkyZNpamrqqT6/878f7qXkQD2xESGn7oonEux0dkigunVcOpn9YzjR3MEvl28zneMTbNYFvMLHkSNHSE5OZs2aNUyYMKFLH1NfX09cXBx1dXXExsae70P7pMMNrUz81RoaWl0U5jn51pVpppNE/oMvfA529+zwhWaRM9m49xhfevp9AP5x++e5PC3BcFHP6Orn4QV987+urvNK2ISEM/8htrW1UV9ff9pboHp4WTkNrS5GD47jG2OHmM4R8VnnOjuC6dwQ/3d5WgJfG5MKwAOvleByewwXmXXew8KyLO655x7Gjx+P0+k8468rKioiLi7u1Ftqaur5PqRPW7+rluJPq7HZYGGeE4ddNxkT+SxdOTuC5dyQwHHf1Ezio0LZdqiBP6/fYzrHqPMeFnfccQdbtmzhpZdeOuuvmzNnDnV1dafeqqoC78rZdpeHucUlANzyuTRGD443GyTiw7pydgTDuSGBJSE6jPtvyATg8ZU7OFTXarjInPMaFj/+8Y9ZvHgx77zzDoMHDz7rrw0PDyc2Nva0t0Dzh3WV7DrSRFKfMH46eZTpHBGf1dWzIxjODQk8Xx2TyqVD4mlqd1O4rMx0jjHdGhaWZXHHHXfw6quvsmrVKoYO1Qs/7T/ezJNvVwDw8xuziIsKNVwk4nt0dkgwsNttLMxzYrfBsi0HeXfHEdNJRnRrWMyaNYsXXniBF198kZiYGA4dOsShQ4doaWnpqT6fN39JGa0dHj43NIGbLh1kOkfEJ+nskGCRMzCOW8d1Dud5i0po7XAbLup93RoWTz/9NHV1dVx77bUMGDDg1Nsrr7zSU30+7a2yGlaW1RBycqXabLpgU+Sz6OyQYHL39SNIjglnz9Fmfr+m0nROrwvpzi++gJe8CDgt7W4KFpcCcNvVGYxIiTFcJOK7dHZIMImJCGXu9Gx+/NIn/Hb1TvIuHUhaYrTprF6jm1icp9+8U8GBEy0MjItg9sThpnNERMSHTB89gPHDk2h3eZi3qDSoxrWGxXnYebiRZ97tfHqrIDeHqLBuPfEjIiIBzmazsWBmDmEOO2t2HGFF6SHTSb1Gw6KbLMti3qISOtwWX8hMZnJ2iukkERHxQRn9+vDDazKAzgv9m9pchot6h4ZFNy3eXM36XUcJD7EzPzdHF2yKiMgZzbpuOKkJkRysaz310gSBTsOiG+pbO1i4rByAH39hOKkJUYaLRETEl0WEOliQ2/nS9X9ct5vthxoMF/U8DYtueOzNHRxpaCMjKZr/mpBhOkdERPzAdZnJTMlJweWxyC/eGvAXcmpYdFHJgTr+8v4eABbMdBIe4jAbJCIifmPejBwiQx18tOc4/9h0wHROj9Kw6AKPx+KB4hI8Fsy4eCDjRySZThIRET8yKD6SOyeNAKDo9XJONLcbLuo5GhZd8PJHVWyuOkGf8BDyp2WZzhERET/0vauGMiK5D0eb2vnvFdtN5/QYDYtzONrYxi/f2AbATyaPJCU2wnCRiIj4o7AQOwvzOi/kfHHDPj6tOmE2qIdoWJxD0fJt1LV0kD0glm9dmWY6R0RE/NjnMhL54mWDsCzIL96K2xN4F3JqWJzFht3H+PvG/QAsvMlJiEN/XCIicmHmTM0iNiKEkgP1vPDBXtM5Xqd/Kc+gw+1hbnEJADePTeWyIX0NF4mISCDoFxPOz27IBODRFds53NBquMi7NCzO4M/v7WF7TQN9o0K5d0qm6RwREQkg3xg7hNGD42hoc/HwyRdeDBQaFp/hYF0Lj7+1A+h8yqpvdJjhIhERCSQOu42FeU5sNij+tJr1u2pNJ3mNhsVnKFxaRnO7mzFpffny5YNN54iISAAaPTj+1A8FzC0uod3lMVzkHRoW/2b19sO8vvUQDruNwjwndrtuMiYiIj3jJ5NHkdQnjF1Hmnh2baXpHK/QsPgXrR1u5i0qBeC749LJGhBruEhERAJZXGQoD5x84cVfr6qg6liz4aILp2HxL55evYt9x5pJiQ3nrutHms4REZEgkHfJID43NIHWDg/zl5SZzrlgGhYn7a5t4uk1uwCYNz2HPuEhhotERCQY2GydF3KG2G28VV7DyrIa00kXRMMCsCyLgsWltLs8XD0iiRsv6m86SUREgsiIlBhuuzoDgAcXl9LS7jZcdP40LIDlJYd4d8cRwkLsFM50YrPpgk0REeldsycOZ1B8JAdOtPCbdypM55y3oB8WjW0uFpz8ntbt1wwjPSnacJGIiASjqLAQCmZkA/DMu5XsPNxguOj8BP2weGLlDg7Vt5KWGMXt1w4znSMiIkHs+uwUJmYm0+G2mFtcimX5303KgnpYlB+s57n1ewB4MDeHiFCH2SAREQlqNpuNB3NzCA+x837lURZvrjad1G1BOyw8Hov84hLcHoupzv5cNyrZdJKIiAipCVH8+AvDAShcWk59a4fhou4J2mHx90372bj3OFFhDuZOzzadIyIicsp/Tcggo180tY1tPPbmDtM53RKUw+J4UztFr3feTe7uSSMZGB9puEhEROT/hIc4KJzpBOAv7++h5ECd4aKuC8ph8ciKbRxv7mBUSgy3XpVuOkdEROQ/XDU8idyLB+Kx4IGT37r3B0E3LDbtO85LG6oAWHiTk1BH0P0RiIiIn8iflkWf8BA2V53gpQ37TOd0SVD9q+pye8h/rQSAL102mCvSEwwXiYiInFlybAQ/mdx576r/XrGd2sY2w0XnFlTD4q8f7KXsYD1xkaH8/MZM0zkiIiLn9K0r08geEEtdSwe/WL7NdM45Bc2wOFzfyq9OXll77w2jSOwTbrhIRETk3EIcdhbe5MRmg79v3M+G3cdMJ51V0AyLhcvKaWxzcXFqPDdfMcR0joiISJddNqQvXz/5b9fc4hI63B7DRWcWFMNiXUUtizdXY7fBQ3lO7HbdZExERPzLvVNGkRAdxvaaBp57b7fpnDMK+GHR5nIzb1HnBZvf/nw6zkFxhotERES6r290GPdP7bw+8Im3Kqg+0WK46LMF/LB49t1KKmubSOoTzj0nr6wVERHxR1++bDBj0vrS3O6mcGmZ6ZzPFNDDoupYM79etROAudOziI0INVwkIiJy/ux2G4V5Thx2G8tLDvHO9sOmk/5DwA4Ly7IoWFxKm8vDuGGJ5F480HSSiIjIBcsaEMt3x6UDULColNYOt9mgfxOww2JlWQ2rth0m1GFjwUwnNpsu2BQRkcBw1/Uj6R8bwb5jzTy9epfpnNME5LBobncxf0nn955+MCGD4cl9DBeJiIh4T5/wEObN6Lwz99Ord7G7tslw0f8JyGHx5Ns7OXCihUHxkdxx3QjTOSIiIl431dmfCSP70e72MG9RCZblGzcpC7hhUVHTwB/WVgIwPzeHyDCH4SIRERHvs9lsLMjNISzEztqKWl7fesh0EhBgw8KyLPKLS3B5LCZlpTApO8V0koiISI9JT4rm9muGAbBgaSmNbS7DRQE2LIo/PcCHu48REWqn4OT3nkRERALZ7dcOIy0xipr6Np5YucN0TuAMi7qWDh5aVg7A7IkjSE2IMlwkIiLS8yJCHczPzQHgufV7KD9Yb7QnYIbFoyu2U9vYzrB+0dw2PsN0joiISK+5dlQyN17UH7en85IAj8fchZwBMSy27D/BCx/uBaAwz0lYSED83xIREemyudOziQpzsHHvcf6+cb+xDr//F/if68yyIO+SgYwblmQ6SUREpNcNiIvk7kmd98QqWl7O8aZ2Ix1+Pyxe3LCPLfvriAkP4efTskzniIiIGHPrVemMSonheHMHj6zYZqTBr4fFkYY2Hnmj8w/up1NGkRwTYbhIRETEnFCHnYU3OQF4aUMVm/Yd7/UGvx4WRcvLaWh14RwUyy1XppnOERERMe6K9AS+cvlgAPJfK8Hl9vTq4/vtsPig8iivbjqAzQYL8y7CYddNxkRERADun5pJXGQoZQfr+esHe3v1sf1yWLS7PMwtLgHgG2OHcElqvNkgERERH5LYJ5z7bsgE4Fdv7qCmvrXXHtsvh8Wf3ttNxeFGEqPDuHdKpukcERERn/P1K1K5ODWexjYXC0++gGRv8LthceBEC//zVgUAc27MIi4q1HCRiIiI77HbbTyU58RugyWbq1lXUds7j9srj+JFC5aU0tLhZmx6Al+6bJDpHBEREZ/lHBTHtz+fDsC8RSW0udw9/ph+NSxWbathRWkNIXYbhXlObDZdsCkiInI290weSb+YcCprm3j23coefzy/GRatHW4KFpcC8P3xQxnVP8ZwkYiIiO+LjQgl/+QLSP561U6qjjX36OP5zbD47Ts7qTrWwoC4CGZPHGE6R0RExG/kXjyQccMSaXN5KFhcimX13E3K/GJY7DrSyO/XdD59UzAjm+jwEMNFIiIi/sNms7FgppNQh41V2w7zZllNjz2Wzw8Ly7IoWFRKu9vDtaP6MSWnv+kkERERvzM8uQ8/mJABwPzFpTS3u3rkcXx+WCzdcpB1O2sJD7EzPzdHF2yKiIicpzuuG8HgvpFU17Xy5Ns7e+QxzmtYPPXUUwwdOpSIiAguv/xy1q5d6+0uABpaOyhcWgbArOuGk5YY3SOPIyI9r7fODRE5s8gwB/NzcwD4w9pKKmoavP4Y3R4Wr7zyCnfddRcPPPAAn3zyCVdffTVTp05l3759Xo97fGUFhxvaGJoUferpGxHxP715bojI2U3MSuH67BRcHov84hKvX8jZ7WHx2GOP8f3vf5/bbruNrKwsnnjiCVJTU3n66ae9GlZaXcef1+8GYH5uDhGhDq/+/iLSe3rr3BCRrimYkU1EqJ0Pdx/jtU8OePX37tawaG9vZ+PGjUyePPm090+ePJn169d/5se0tbVRX19/2tu5eE6uKI8F00YPYMLIft3JFBEf0lvnhoh03eC+UadeuuHh18upa+7w2u/drWFRW1uL2+0mJSXltPenpKRw6NChz/yYoqIi4uLiTr2lpqae83EWb67mk30niA5zMHdadncSRcTH9Na5ISLdc9v4DIb1i6a2sZ1fr6rw2u97Xhdv/vtPZliWdcaf1pgzZw51dXWn3qqqqs75+0+9qD/3XD+S+6Zm0j8u4nwSRcTH9PS5ISLdExZipzDPydfGpDLruuFe+3279UpTSUlJOByO//gq4/Dhw//x1cg/hYeHEx4e3q2o8BCHXl1TJED01rkhIt03blgS44YlefX37NYzFmFhYVx++eWsXLnytPevXLmScePGeTVMRAKDzg2R4NLt18a+5557+Na3vsWYMWP4/Oc/zzPPPMO+ffv40Y9+1BN9IhIAdG6IBI9uD4uvfe1rHD16lAULFnDw4EGcTievv/46aWlpPdEnIgFA54ZI8LBZPXmLs89QX19PXFwcdXV1xMbG9uZDiwj++Tnoj80igaarn4c+f68QERER8R8aFiIiIuI1GhYiIiLiNRoWIiIi4jUaFiIiIuI1GhYiIiLiNRoWIiIi4jUaFiIiIuI1GhYiIiLiNd1+Se8L9c8X+qyvr+/thxYR/u9zr5dfdPeC6NwQMa+rZ0evD4uGhgYAUlNTe/uhReRfNDQ0EBcXZzqjS3RuiPiOc50dvX6vEI/HQ3V1NTExMdhstjP+uvr6elJTU6mqqvKbewP4YzP4Z7c/NoNvdFuWRUNDAwMHDsRu94/vhgbyuQH+2e2PzaDuC9HVs6PXn7Gw2+0MHjy4y78+NjbWr/7jg382g392+2MzmO/2l2cq/ikYzg3wz25/bAZ1n6+unB3+8eWKiIiI+AUNCxEREfEanx0W4eHhFBQUEB4ebjqly/yxGfyz2x+bwX+7/YW//vn6Y7c/NoO6e0OvX7wpIiIigctnn7EQERER/6NhISIiIl6jYSEiIiJeo2EhIiIiXuOTw+Kpp55i6NChREREcPnll7N27VrTSWdVVFTEFVdcQUxMDMnJyeTl5bF9+3bTWd1SVFSEzWbjrrvuMp1yTgcOHOCWW24hMTGRqKgoLrnkEjZu3Gg666xcLhf5+fkMHTqUyMhIMjIyWLBgAR6Px3RaQPGnsyMQzg3Q2dGT/PbcsHzMyy+/bIWGhlrPPvusVVZWZt15551WdHS0tXfvXtNpZzRlyhTrueees0pKSqxPP/3UmjZtmjVkyBCrsbHRdFqXbNiwwUpPT7dGjx5t3XnnnaZzzurYsWNWWlqadeutt1offvihtXv3buutt96ydu7caTrtrBYuXGglJiZaS5cutXbv3m39v//3/6w+ffpYTzzxhOm0gOFvZ4e/nxuWpbOjp/nrueFzw2Ls2LHWj370o9Pel5mZad1///2Girrv8OHDFmCtWbPGdMo5NTQ0WCNGjLBWrlxpXXPNNT5/ONx3333W+PHjTWd027Rp06zvfe97p73vi1/8onXLLbcYKgo8/n52+NO5YVk6O3qDv54bPvWtkPb2djZu3MjkyZNPe//kyZNZv369oaruq6urAyAhIcFwybnNmjWLadOmMWnSJNMpXbJ48WLGjBnDV77yFZKTk7n00kt59tlnTWed0/jx43n77bfZsWMHAJs3b2bdunXceOONhssCQyCcHf50boDOjt7gr+dGr9+E7Gxqa2txu92kpKSc9v6UlBQOHTpkqKp7LMvinnvuYfz48TidTtM5Z/Xyyy+zadMmPvroI9MpXVZZWcnTTz/NPffcw89//nM2bNjA7NmzCQ8P59vf/rbpvDO67777qKurIzMzE4fDgdvt5qGHHuLmm282nRYQ/P3s8KdzA3R29BZ/PTd8alj807/fFtmyrLPeKtmX3HHHHWzZsoV169aZTjmrqqoq7rzzTt58800iIiJM53SZx+NhzJgxPPzwwwBceumllJaW8vTTT/vs4QDwyiuv8MILL/Diiy+Sk5PDp59+yl133cXAgQP5zne+YzovYPjr2eEv5wbo7OhNfntumP1OzOna2tosh8Nhvfrqq6e9f/bs2daECRMMVXXdHXfcYQ0ePNiqrKw0nXJOr732mgVYDofj1Btg2Ww2y+FwWC6Xy3TiZxoyZIj1/e9//7T3PfXUU9bAgQMNFXXN4MGDrd/85jenva+wsNAaNWqUoaLA4s9nhz+dG5als6M3+eu54VPXWISFhXH55ZezcuXK096/cuVKxo0bZ6jq3CzL4o477uDVV19l1apVDB061HTSOU2cOJGtW7fy6aefnnobM2YM3/zmN/n0009xOBymEz/TVVdd9R8/krdjxw7S0tIMFXVNc3Mzdvvpn24Oh8P3f2zMT/jj2eGP5wbo7OhNfntumF42/+6fPzL2xz/+0SorK7PuuusuKzo62tqzZ4/ptDO6/fbbrbi4OGv16tXWwYMHT701NzebTusWf7iye8OGDVZISIj10EMPWRUVFdb//u//WlFRUdYLL7xgOu2svvOd71iDBg069WNjr776qpWUlGTde++9ptMChr+dHYFybliWzo6e4q/nhs8NC8uyrN/+9rdWWlqaFRYWZl122WU+/+NXwGe+Pffcc6bTusUfDgfLsqwlS5ZYTqfTCg8PtzIzM61nnnnGdNI51dfXW3feeac1ZMgQKyIiwsrIyLAeeOABq62tzXRaQPGnsyNQzg3L0tnRU/z13NBt00VERMRrfOoaCxEREfFvGhYiIiLiNRoWIiIi4jUaFiIiIuI1GhYiIiLiNRoWIiIi4jUaFiIiIuI1GhYiIiLiNRoWIiIi4jUaFiIiIuI1GhYiIiLiNRoWIiIi4jX/H9Gc1InWc5v0AAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# generate different data for second plot, going from 9 to 0\n", "y2 = list(reversed(range(10)))\n", "\n", "fig, axs = plt.subplots(nrows=1, ncols=2)\n", "axs[0].plot(x, y)\n", "axs[1].plot(x, y2)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "ed481442-9017-49d9-8202-90f73b823763", "metadata": {}, "source": [ "We can modify properties of each subplot separately, using their `axs` indices. We can also modify properties of the entire figure (such as an overall title) using `fig.` methods:\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "956d7fc2-810e-4deb-b748-9261483fae72", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(nrows=1, ncols=2)\n", "\n", "# First subplot\n", "axs[0].plot(x, y)\n", "axs[0].set_title('Positive correlation')\n", "\n", "# Second subplot\n", "axs[1].plot(x, y2)\n", "axs[1].set_title('Negative correlation')\n", "\n", "# Set overall figure title\n", "fig.suptitle('Two types of perfect correlations')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "0ffdcdba-79dc-410c-b021-30d9dcdc5b96", "metadata": {}, "source": [ "## 2D subplots\n", "\n", "When you have a figure with multiple rows and columns of subplots, the indexing of `AxesSubplot` objects is two-dimensional. This is similar to indexing a pandas DataFrame, where we might specify a position with [row, column] indexing (e.g., `df.iloc[1, 2]` to get the second row, third column).\n", "\n", "The only tricky thing about this is that if you have a one-dimensional figure (i.e., one row and multiple columns, or one column and multiple rows), you only need to use a single index (the column or row position, respectively), as shown in the examples above. However, as soon as you generate a figure with multiple rows *and* columns, you need to use two-dimensional indexing. \n", "\n", "So, for example, with one column but two rows, we can use the following:\n" ] }, { "cell_type": "code", "execution_count": 5, "id": "d7e2a9fe-7d14-4d36-b804-90351427622b", "metadata": {}, "outputs": [ { "data": { "image/png": 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pdqRl2JCdXymP67zUmDIsGGaTEVPjQuCr63kf0z0vMRERUQ90vrgKFqsdFqsdWXaHPK7VqDA5prFMTBsein7ePfujuWenJyIi6sZySqqxOaOxTGTklsvjXmoVJtw4EGaTEbcND0WAj1bBlJ7FYkFERORB9vIapF1cM3Ekp0we16hVSI4OgtkkYfrwMAT66ZQL2YlYLIiIiK5TgaNWXjNx6HypPK5SAeOigmBOkjAzPgxB/bwVTNk1WCyIiIiuQVGlE1uO5iHNasO3Z0tw+bW/xkQGwmwyYlZiGEIMeuVCKoDFgoiIqJ1Kq+qw9Vge0qx2fH26CO7LysSIwf1hNhmRkighLKBvlYnLdahYNDQ04LnnnsMHH3yAvLw8SJKEhx9+GM888wzU6u515i8iIiJPKK+ux7bMxjKx71QRGi5rE6bwAJhNEmYnSggP9FUwZffRoWKxYsUKvP7663jnnXcQHx+PQ4cOYd68eQgICMDChQs7KyMREVGXqqitx+dZ+bCk2/HlyULUu5rKxHDJH+YkCeZEIwYHsUz8WIeKxf79+3H77bcjJSUFABAZGYn169fj0KFDnRKOiIioq1Q5G7DzeAEs6Tbszi5EXYNbnhsWaoDZJCHFJGFocD8FU3Z/HSoWEyZMwOuvv47s7GzExMQgPT0de/fuxcqVK9u8jdPphNPZdFlXh8PR5rJERERdqabOhS9OFMBitWHX8QLU1jeViaHBfjCbjJhjknBjqEHBlD1Lh4rFkiVLUF5ejtjYWGg0GrhcLrz44ou4//7727xNamoqli9fft1BiYiIPKG23oU92YWwWO3YmZWP6jqXPDckyBdmkwSzyYjYMANUKpWCSXumDhWLDRs24P3338e6desQHx+PI0eOYNGiRTAajZg7d26rt3nqqaewePFi+XuHw4GIiIjrS01ERNQBdQ1ufHWysUzsyMxHpbNBngsP9EGKScIckxHxRn+WieukEuLyI2+vLCIiAkuXLsWCBQvksRdeeAHvv/8+jh8/3q77cDgcCAgIQHl5Ofz9/TuemIiIqB3qXW7sO1UEi9WO7cfy4KhtKhNSgB4piRLMSUYkhQewTLRDez+/O7TGorq6usVhpRqNBm63u41bEBERdZ0GlxvfnCmBxWrD1mN5KKuul+dCDN6YnShhTpKEERGBUKtZJjpDh4rFnDlz8OKLL2Lw4MGIj4/H999/j7/+9a+YP39+Z+UjIiK6Ipdb4OC5i2XiaB6KKuvkuYH9dJiVIMFskjA6cgA0LBOdrkObQioqKvDHP/4RH3/8MQoKCmA0GnH//ffjf/7nf6DTte9iKtwUQkRE18vtFjh8oRQWqx2bM+woqGg6+jDQV4uZF8vE2KgB8NLwBI6e0N7P7w4VC09gsSAiomshhMCRnDK5TNjLa+U5f70XZiaEIcVkRHJ0ELQsEx7XKftYEBERdSUhBI7mOmCx2mCx2pFbViPPGby9cFt8KMwmCRNuCIbOi2WiO2CxICKibkUIgSx7BSxWG9Iy7DhfXC3P+ek0mDY8FCmJEibFBEOv1SiYlFrDYkFERN1Cdn4FLOk2WDLsOFNYJY/rtWpMjQuFOVHClNgQlolujsWCiIgUc7qwEpZ0O9IybMjOr5THdV5qTBkWDLPJiKlxIfDV8eOqp+A7RUREXep8cRUsVjssVjuy7E3Xj9JqVJgc01QmDHqtginpWrFYEBFRp8spqcbmjMYykZFbLo97qVWYcONAmE1G3DY8FAE+LBM9HYsFERF1Cnt5DdIurpk4klMmj2vUKiRHB8FskjB9eBgC/dp3HiTqGVgsiIjIYwoctfKaiUPnS+VxlQoYFxUEc5KEmfFhCOrnrWBK6kwsFkREdF2KKp3YcjQPlnQbDpwrwaXTLqpUwJghA5BikjArMQwhBr2yQalLsFgQEVGHlVbVYeuxPFisNuw/XQz3ZedwHjm4P1JMRqQkSggLYJnoa1gsiIioXcqr67EtMw9pVjv2nSpCw2VtwhQeALNJwuxECeGBvgqmJKWxWBARUZsqauuxIzMfaVY7vjxZiHpXU5kYLvnDnCQhJVHCkCA/BVNSd8JiQUREzVQ5G/B5VmOZ2J1diLoGtzw3LNQAs0lCiknC0OB+Cqak7orFgoiIUFPnwhcnCmCx2rDreAFq65vKRHSwH8wmI8wmCTeGGhRMST0BiwURUR9VW+/CnuxCWKx27MzKR3WdS54bEuQLs0mC2WREbJgBKpVKwaTUk7BYEBH1IXUNbnx1srFM7MjMR6WzQZ4LD/RBiknCHJMR8UZ/lgm6JiwWRES9XL3LjX2nimCx2rH9WB4ctU1lQgrQIyVRgjnJiKTwAJYJum4sFkREvVCDy41vzpQgLcOGrUfzUFpdL8+FGLwxO1HCnCQJIyICoVazTJDnsFgQEfUSLrfAwXMlsFgby0RRZZ08N7CfDrMSJJhNEkZHDoCGZYI6CYsFEVEP5nYLHL5QCovVjs0ZdhRUOOW5QF8tZl4sE2OjBsBLo1YwKfUVLBZERD2MEAJHcsrkMmEvr5Xn/PVemBEfBnOSEcnRQdCyTFAXY7EgIuoBhBA4muuAxWqDxWpHblmNPNfP2wvTh4fCnCRhwg3B0HmxTJByWCyIiLopIQSy7BVIy2gsE+eLq+U5X50G0+JCYTZJmBQTDL1Wo2BSoiYdLha5ublYsmQJtmzZgpqaGsTExOCtt97CqFGjOiMfEVGfczK/Ap9Z7bBYbThTWCWP67VqTI1tLBO3DAuBj45lgrqfDhWL0tJSjB8/HlOmTMGWLVsQEhKC06dPo3///p0Uj4iobzhTWAnLxTKRnV8pj+u81JgyLBgpJiOmxobAz5srmql769BP6IoVKxAREYG1a9fKY5GRkZ7ORETUJ1worsZnF/eZyLI75HGtRoXJMcFIMUmYFhcKg16rYEqijulQsfj0008xY8YM3HvvvdizZw8GDRqExx57DL/+9a/bvI3T6YTT2XT4k8PhaHNZIqLe7ofSaqRZ7UjLsMP6Q7k87qVWYfwNA2E2SZgeH4YAH5YJ6pk6VCzOnDmD1atXY/HixXj66adx4MABPPHEE/D29sZDDz3U6m1SU1OxfPlyj4QlIuqJ7OU1cpn4/kKZPK5WAcnRjWViRnwYAv10yoUk8hCVEEK0d2GdTofRo0fj66+/lseeeOIJHDx4EPv372/1Nq2tsYiIiEB5eTn8/f2vIzoRUfdV4KjF5ozGMnHwXKk8rlIBY6MGwGwyYmZCGAb281YwJVH7ORwOBAQEXPXzu0NrLCRJwvDhw5uNxcXF4aOPPmrzNt7e3vD25i8OEfV+RZVObD2aB4vVhm/PluDyf9vGRAbCbDJiVkIYQvz1yoUk6mQdKhbjx4/HiRMnmo1lZ2djyJAhHg1FRNRTlFbVYduxPFisdnx9ugjuy8rEiMH9YTYZMTsxDFKAj3IhibpQh4rFk08+ieTkZLz00ku47777cODAAaxZswZr1qzprHxERN1OeU09tl8sE/tOFaHhsjZhCg+A2SRhdqKE8EBfBVMSKaND+1gAgMViwVNPPYWTJ08iKioKixcvvuJRIT/W3m00RETdSUVtPT7Pyocl3Y4vTxai3tX0p3O45I8UU+PFvoYE+SmYkqjztPfzu8PF4nqxWBBRT1HlbMDO4wWwpNuwO7sQdQ1ueW5YqAEpJgkpJgnRwf0UTEnUNTpl500iot6ups6FL04UIM1qx87j+aitbyoTQ4P9YDYZYTZJiAk1KJiSqPtisSCiPq+23oU92YVIs9rxeVY+qutc8tyQIF+YTRLMJiNiwwxQqVQKJiXq/lgsiKhPqmtw46uTjWViR2Y+KpwN8lx4oA9STBLmmIyIN/qzTBB1AIsFEfUZ9S439p0qQprVjm3H8uCobSoTUoAeKYkSzElGJIUHsEwQXSMWCyLq1RpcbnxzpgRpGTZsPZqH0up6eS7E4I3ZiRLmJEkYEREItZplguh6sVgQUa/jcgscPFcCi7WxTBRV1slzA/vpMCuh8WiOMZEDoGGZIPIoFgsi6hXcboHDF0phsdqxOcOOgoqmaxQF+moxMyEMZpMRY6MGwEujVjApUe/GYkFEPZYQAkdyyuQyYS+vlef89V6YER8Gc5IRydFB0LJMEHUJFgsi6lGEEDia64DFaoPFakduWY0818/bC9OHh8KcJGHCDcHQebFMEHU1Fgsi6vaEEMiyVyAto7FMnC+ulud8dRpMiwuF2SRhUkww9FqNgkmJiMWCiLqt7PwKWNJtsGTYcaawSh7Xa9WYGttYJqbEhrBMEHUjLBZE1K2cLqxEmtUOi9WG7PxKeVznpcaUYcFIMRkxNTYEft7880XUHfE3k4gUd764CharHRarHVl2hzyu1agwOSYYKSYJ0+JCYdBrFUxJRO3BYkFEivihtPrimgk7MnLL5XEvtQoTbhyIlEQJ0+PDEODDMkHUk7BYEFGXsZfXyGXiSE6ZPK5Rq5AcHYSURAkz4sMQ6KdTLiQRXRcWCyLqVAWOWmzOaCwTh86XyuMqFTAuKggpJgmzEsIQ1M9bwZRE5CksFkTkcUWVTmw5moc0qw3fni2BEE1zYyIDYTYZMSsxDCEGvXIhiahTsFgQkUeUVtVh67E8pFnt+Pp0EdyXlYkRg/vDbDJidmIYpAAf5UISUadjsSCia1ZeXY9tmY1lYt+pIjRc1iZM4QEwmyTMTpQQHuirYEoi6kosFkTUIRW19fg8Kx+WdDu+PFmIeldTmRgu+cOcJCElUcKQID8FUxKRUlgsiOiqqpwN2Hm8AJZ0G3ZnF6KuwS3PDQs1wGxqvAz50OB+CqYkou6AxYKIWlVT58IXJwpgsdqw63gBauubysTQYD+YTUbMMUm4MdSgYEoi6m5YLIhIVlvvwp7sQlisduzMykd1nUueGxLkC7NJgtlkRGyYASqVSsGkRNRdXVexSE1NxdNPP42FCxdi5cqVHopERF2prsGNr042lokdmfmodDbIc+GBPkgxSZhjMiLe6M8yQURXdc3F4uDBg1izZg1MJpMn8xBRF6h3ubHvVBEsVju2H8uDo7apTEgBeqQkSjAnGZEUHsAyQUQdck3ForKyEg888ADefPNNvPDCC57ORESdoMHlxjdnSmCx2rD1WB7KquvluRCDN2YnSpiTJGFERCDUapYJIro211QsFixYgJSUFEybNu2qxcLpdMLpdMrfOxyOKyxNRJ7kcgscOFuCtAwbtmTkobiqTp4b2E+HWQkSzCYJoyMHQMMyQUQe0OFi8eGHH+Lw4cM4ePBgu5ZPTU3F8uXLOxyMiK6N2y1w+EIpLFY7NmfYUVDRVOwDfbWYmRAGs8mIsVED4KVRK5iUiHqjDhWLnJwcLFy4ENu3b4de375z/D/11FNYvHix/L3D4UBERETHUhLRFQkhcCSnTC4T9vJaec5f74UZ8WEwJxmRHB0ELcsEEXUilRCXXx7oyjZt2oQ777wTGo1GHnO5XFCpVFCr1XA6nc3mWuNwOBAQEIDy8nL4+/tfe3KiPk4IgaO5DlisNlisduSW1chz/by9MH14KMxJEibcEAydF8sEEV2f9n5+d2iNxdSpU5GRkdFsbN68eYiNjcWSJUuuWiqI6PoIIZBlr4DFakNahh3ni6vlOV+dBtPiQmE2SZgUEwy9lr+PRNT1OlQsDAYDEhISmo35+fkhKCioxTgReU52fgUs6TZYMuw4U1glj+u1akyNbSwTU2JDWCaISHE88yZRN3W6sBJpVjssVhuy8yvlcZ2XGlOGBcNsMuLW2BD4efPXmIi6j+v+i7R7924PxCAiADhfXAWL1Q6L1Y4se9Oh2VqNCpNjGsvE1LgQGPRaBVMSEbWN/+oQKSynpBqbMxrLREZuuTzupVZhwo0DkZIoYXp8GAJ8WCaIqPtjsSBSgL285uJmDjuO5JTJ4xq1CsnRQUhJlDAjPgyBfjrlQhIRXQMWC6IuUuColddMHDpfKo+rVMC4qCCkmCTMSghDUD9vBVMSEV0fFguiTlRU6cSWo3lIs9rw7dkSXH7WmDGRgTCbjJiVGIYQQ/tOOEdE1N2xWBB5WGlVHbYey0Oa1Y6vTxfBfVmZGDG4P8wmI1ISJYQFsEwQUe/DYkHkAeXV9diW2Vgm9p0qQsNlbcIUHgCzScLsRAnhgb4KpiQi6nwsFkTXqKK2Hjsy85FmtePLk4WodzWVieGSP8xJEsyJRgwOYpkgor6DxYKoA6qcDdh5vACWdBt2ZxeirsEtzw0LNcBskpBikjA0uJ+CKYmIlMNiQXQVNXUufHGiABarDbuOF6C2vqlMDA32g9lkxByThBtDDQqmJCLqHlgsiFpRW+/CnuxCWKx27MzKR3WdS54bEuQLs0mC2WREbJgBKpVKwaRERN0LiwXRRXUNbnx1srFM7MjMR6WzQZ4LD/RBiknCHJMR8UZ/lgkiojawWFCfVu9yY9+pIlisdmw/lgdHbVOZkAL0SEmUYE4yIik8gGWCiKgdWCyoz2lwufHNmRKkZdiw9WgeSqvr5bkQgzdmJ0qYkyRhREQg1GqWCSKijmCxoD7B5RY4eK4EFmtjmSiqrJPnBvbTYVaCBLNJwujIAdCwTBARXTMWC+q13G6BwxdKYbHasTnDjoIKpzwX6KvFzItlYmzUAHhp1AomJSLqPVgsqFcRQuBITplcJuzltfKcv94LM+LDYE4yIjk6CFqWCSIij2OxoB5PCIGjuQ5YrDZYrHbkltXIc/28vTB9eCjMSRIm3BAMnRfLBBFRZ2KxoB5JCIEsewXSMhrLxPniannOV6fBtLhQmE0SJsUEQ6/VKJiUiKhvYbGgHuVkfgU+s9phsdpwprBKHtdr1Zga21gmbhkWAh8dywQRkRJYLKjbO1NYCcvFMpGdXymP67zUmDIsGCkmI6bGhsDPmz/ORERK419i6pbOF1ddLBN2ZNkd8rhWo8LkmGCkmCRMiwuFQa9VMCUREf0YiwV1Gz+UViPtYpnIyC2Xx73UKoy/YSDMJgnT48MQ4MMyQUTUXbFYkKLs5TVIs9qRlmHH9xfK5HG1CkiObiwTM+LDEOinUy4kERG1W4eKRWpqKjZu3Ijjx4/Dx8cHycnJWLFiBYYNG9ZZ+agXKnDUYnNGY5k4eK5UHlepgLFRA2A2GTEzIQwD+3krmJKIiK5Fh4rFnj17sGDBAowZMwYNDQ1YtmwZpk+fjszMTPj5+XVWRuoFiiqd2Ho0DxarDd+eLYEQTXNjIgNhNhkxKyEMIf565UISEdF1Uwlx+Z/4jiksLERISAj27NmDSZMmtes2DocDAQEBKC8vh7+//7U+NPUApVV12HYsDxarHfvPFMPlbvpRGzG4P8wmI2YnhkEK8FEwJRERtUd7P7+vax+L8vLGHewGDBjQ5jJOpxNOZ9M1GhwOR5vLUs9XXlOP7cfykJZhx96TRWi4rEyYwgOQkighxSQhPNBXwZRERNRZrrlYCCGwePFiTJgwAQkJCW0ul5qaiuXLl1/rw1APUFFbj8+z8mFJt+PLk4WodzWVieGSP1JMjRf7GhLEzWVERL3dNW8KWbBgAdLS0rB3716Eh4e3uVxraywiIiK4KaSHq3I2YOfxAljSbdidXYi6Brc8FxPaD2aTESkmCdHB/RRMSUREntKpm0Ief/xxfPrpp/jyyy+vWCoAwNvbG97e3Lu/N6ipc+GLEwVIs9qx83g+auubysTQYD+YTUaYTRJiQg0KpiQiIiV1qFgIIfD444/j448/xu7duxEVFdVZuaibqK134cvsQlisdnyelY/qOpc8NyTIF2aThJREI+IkA1QqlYJJiYioO+hQsViwYAHWrVuHTz75BAaDAXl5eQCAgIAA+Phwz/7eoq7Bjb2nCmFJt2NHZj4qnA3y3KD+PjAnSTAnGpEwyJ9lgoiImunQPhZtfYisXbsWDz/8cLvug4ebdk/1Lje+Pl0MS7oN247lwVHbVCakAL18NMdNEf1ZJoiI+qBO2cfiOk55Qd1Qg8uNb8+WwGK1YevRPJRW18tzIQZvzE5sPJpj5OBAqNUsE0REdHW8Vkgf43ILHDzXVCaKKuvkuSA/HWYlhsFsMmJM5ABoWCaIiKiDWCz6ALdb4PCFUlisdmzOsKOgounw3/6+WsxKaCwTY6MGwEujVjApERH1dCwWvZQQAkdyyuQyYS+vlef89V6YER8Gc5IRydFB0LJMEBGRh7BY9CJCCBzNdcCSYUOa1Y4fSmvkuX7eXpg+PBTmJAkTbgiGzotlgoiIPI/FoocTQiDLXoG0i2XiXHG1POer02BaXCjMJgmTYoKh12oUTEpERH0Bi0UPdTK/Ap9Z7bBYbThTWCWP67VqTI1tLBO3DAuBj45lgoiIug6LRQ9yprASlotlIju/Uh7XeakxZVgwUkxGTI0NgZ8331YiIlIGP4G6ufPFVRfLhB1Z9qZLzms1KkyOCUaKScK0uFAY9FoFUxIRETViseiGfiitRtrFMpGRWy6Pe6lVGH/DQJhNEqbHhyHAh2WCiIi6FxaLbsJeXoM0qx1pGXZ8f6FMHlergOToxjIxIz4MgX465UISERFdBYuFggoctdic0VgmDp4rlcdVKmBs1ACYTUbMTAjDwH687DwREfUMLBZdrKjSia1H82Cx2vDt2RJcfvmVMZGBMJuMmJUQhhB/vXIhiYiIrhGLRRcorarDtmN5sFjt+Pp0EdyXlYkRg/vDbDJidmIYpABeep6IiHo2FotOUl5Tj+0Xy8S+U0VouKxNmMID5MuQhwf6KpiSiIjIs1gsPKiith6fZ+XDkm7HlycLUe9qKhPDJX+kmBovQz4kyE/BlERERJ2HxeI6VTkbsPN4ASzpNuzOLkRdg1ueGxZqQIqpcc1EdHA/BVMSERF1DRaLa1BT58IXJwqQZrVj5/F81NY3lYmhwX4wm4wwmyTEhBoUTElERNT1WCzaqbbehT3ZhUiz2vF5Vj6q61zy3JAgX5hNEswmI2LDDFCpVAomJSIiUg6LxRXUNbjx1cnGMrEjMx8VzgZ5blB/H5iTJJgTjUgY5M8yQUREBBaLFupdbnx9uhiWdBu2HcuDo7apTEgBevlojpsi+rNMEBER/QiLBYAGlxvfni2BxWrD1qN5KK2ul+dCDN6Yndh4NMfIwYFQq1kmiIiI2tJni4XLLXDwXFOZKKqsk+eC/HSYlRgGs8mIMZEDoGGZICIiapc+VSzcboHDF0phsdqxOcOOggqnPNffV4tZCY1lYmzUAHhp1AomJSIi6pmuqVisWrUKr776Kux2O+Lj47Fy5UpMnDjR09k8QgiBIzllcpmwl9fKc/56L8yID4M5yYjk6CBoWSaIiIiuS4eLxYYNG7Bo0SKsWrUK48ePxxtvvIFZs2YhMzMTgwcP7oyMHSaEwNFcByxWGyxWO3LLauS5ft5emD48FOYkCRNuCIbOi2WCiIjIU1RCXH59zasbO3YsRo4cidWrV8tjcXFxuOOOO5CamnrV2zscDgQEBKC8vBz+/v4dT9wGIQSy7BVIy7AhzWrHueJqec5Xp8G0uFCkmCRMjgmGXqvx2OMSERH1Be39/O7QGou6ujp89913WLp0abPx6dOn4+uvv271Nk6nE05n074MDoejIw/ZLhW19bjjtX04XVglj+m1atwaGwKzyYgpw0Lgo2OZICIi6mwdKhZFRUVwuVwIDQ1tNh4aGoq8vLxWb5Oamorly5dfe8J2MOi10Gs10HmpcUtMMMxJRkyNDYGfd5/aN5WIiEhx1/TJ++MTQwkh2jxZ1FNPPYXFixfL3zscDkRERFzLw17Ryp/ehLAAPQx6rcfvm4iIiNqnQ8Vi4MCB0Gg0LdZOFBQUtFiLcYm3tze8vb2vPWE73cgLfhERESmuQ4dE6HQ6jBo1Cjt27Gg2vmPHDiQnJ3s0GBEREfU8Hd4UsnjxYjz44IMYPXo0br75ZqxZswYXLlzAI4880hn5iIiIqAfpcLH46U9/iuLiYjz//POw2+1ISEjA5s2bMWTIkM7IR0RERD1Ih89jcb066zwWRERE1Hk65TwWnnCpx3TG+SyIiIioc1z63L7a+oguLxYVFRUA0CmHnBIREVHnqqioQEBAQJvzXb4pxO12w2azwWAwtHnui2tx6fwYOTk53MTSDfD96H74nnQvfD+6F74fVyeEQEVFBYxGI9Tqtg8q7fI1Fmq1GuHh4Z12//7+/vyh6Eb4fnQ/fE+6F74f3Qvfjyu70pqKS3hpTyIiIvIYFgsiIiLymF5TLLy9vfHss892yenD6er4fnQ/fE+6F74f3QvfD8/p8p03iYiIqPfqNWssiIiISHksFkREROQxLBZERETkMSwWRERE5DG9plisWrUKUVFR0Ov1GDVqFL766iulI/VJqampGDNmDAwGA0JCQnDHHXfgxIkTSseii1JTU6FSqbBo0SKlo/RZubm5+MUvfoGgoCD4+vripptuwnfffad0rD6roaEBzzzzDKKiouDj44OhQ4fi+eefh9vtVjpaj9UrisWGDRuwaNEiLFu2DN9//z0mTpyIWbNm4cKFC0pH63P27NmDBQsW4JtvvsGOHTvQ0NCA6dOno6qqSulofd7BgwexZs0amEwmpaP0WaWlpRg/fjy0Wi22bNmCzMxM/OUvf0H//v2VjtZnrVixAq+//jr+8Y9/ICsrC6+88gpeffVV/P3vf1c6Wo/VKw43HTt2LEaOHInVq1fLY3FxcbjjjjuQmpqqYDIqLCxESEgI9uzZg0mTJikdp8+qrKzEyJEjsWrVKrzwwgu46aabsHLlSqVj9TlLly7Fvn37uEa1GzGbzQgNDcVbb70lj919993w9fXFe++9p2CynqvHr7Goq6vDd999h+nTpzcbnz59Or7++muFUtEl5eXlAIABAwYonKRtb7/9NlQqFfR6Pc6fP99i/pZbbkFCQoICyVr30ksvYdOmTS3Gd+/eDZVKhd27d7eYW7BgAVJSUjBt2rTOD9iNPffcc9d88cPNmzfjueeea3UuMjISDz/88FXv49NPP8Xo0aNx7733IiQkBCNGjMCbb755TXnIMyZMmICdO3ciOzsbAJCeno69e/di9uzZCifruXp8sSgqKoLL5UJoaGiz8dDQUOTl5SmUioDGK+EtXrwYEyZM6FYfzG1xOp145plnlI5xVW0Vi5EjR2L//v0YOXJks/EPP/wQhw8f5tq767R582YsX7681bmPP/4Yf/zjH696H2fOnMHq1atx4403Ytu2bXjkkUfwxBNP4N133/V0XGqnJUuW4P7770dsbCy0Wi1GjBiBRYsW4f7771c6Wo/V5Vc37Sw//i9ECOHRy7JTx/3ud7+D1WrF3r17lY7SLjNnzsS6devw+9//HklJSUrH6TB/f3+MGzeu2VhOTg4WLlyI7du3Q6/XK5Ts+gghUFtbCx8fnxZzNTU10Ov1iv+ujxgxol3Lud1ujB49Gi+99JJ8u2PHjmH16tV46KGHOjMitWHDhg14//33sW7dOsTHx+PIkSNYtGgRjEYj5s6dq3S8nkn0cE6nU2g0GrFx48Zm40888YSYNGmSQqnod7/7nQgPDxdnzpxROspVrV27VgAQu3btEsHBwWLGjBnN5idPnizi4+ObjbndbvHaa6+JpKQkodfrRf/+/cXdd98tTp8+3WK5F198UQwePFh4e3uLUaNGie3bt4vJkyeLyZMny8vV1NSIxYsXi6SkJOHv7y8CAwPFuHHjxKZNm5rdH4AWX5fu54svvhAAxBdffCGEEOJvf/ubvIxGo5G/Lr9tXl6efN87duwQt956qzAYDMLHx0ckJyeLzz//vF2vYWlpqVi8eLGIiooSOp1OBAcHi1mzZomsrCx5meLiYvHoo48Ko9EotFqtiIqKEk8//bSora1t8RwXLFggVq9eLWJjY4VWqxWrV6+W36dt27aJefPmiYEDBwoAoqamRgghxIcffijGjRsnfH19hZ+fn5g+fbo4fPhws/t+9tlnxY//7H344YfitttuE2FhYUKv14vY2FixZMkSUVlZKS8zd+7cVl/7s2fPCiGEGDJkiJg7d26z+z1//rx44IEHRHBwsNDpdCI2Nlb0799fzJ8/X17m7NmzAoDw9/cXf/nLX0RkZKTw8/MT48aNE/v372/Xa0/XJzw8XPzjH/9oNvanP/1JDBs2TKFEPV+P3xSi0+kwatQo7Nixo9n4jh07kJycrFCqvksIgd/97nfYuHEjdu3ahaioKKUjtZvBYMAzzzyDbdu2YdeuXVdc9re//S0WLVqEadOmYdOmTVi1ahWOHTuG5ORk5Ofny8stW7YMy5Ytw8yZM/HJJ5/gkUcewa9+9St5e+4lTqcTJSUl+P3vf49NmzZh/fr1mDBhAu66665mq8n3798PHx8fzJ49G/v378f+/fuxatWqVjP+4he/gE6nw69//WscOXJE/ho1ahR8fHwwbdo0eRPi+++/j+nTp8Pf3x/vvPMO/vWvf2HAgAGYMWMGdu7cecXXoqKiAhMmTMAbb7yBefPm4bPPPsPrr7+OmJgY2O12AEBtbS2mTJmCd999F4sXL0ZaWhp+8Ytf4JVXXsFdd93V4j43bdqE1atX43/+53+wbds2TJw4UZ6bP38+tFot3nvvPfznP/+BVqvFSy+9hPvvvx/Dhw/Hv/71L7z33nuoqKjAxIkTkZmZecX8J0+exOzZs/HWW29h69atWLRoEf71r39hzpw58jJ//OMfcc8998jvwaUvSZJavc/CwkIkJydj+/bt+NOf/oRPP/0U06ZNQ1lZGTZv3txieafTiR07dmDlypX44IMPUFVVhdmzZ8v7KFHnqa6uhlrd/KNQo9HwcNProXSz8YQPP/xQaLVa8dZbb4nMzEyxaNEi4efnJ86dO6d0tD7n0UcfFQEBAWL37t3CbrfLX9XV1UpHa9Ol/4QPHjwonE6nGDp0qBg9erRwu91CiJZrLPbv3y8AiL/85S/N7icnJ0f4+PiI//N//o8QQoiSkhLh7e0tfvrTnzZb7tLtL19j8WMNDQ2ivr5e/PKXvxQjRoxoNufn59fiv2MhWq6xEEKIu+66S4SHhwuXyyWPJSQkCADis88+E0IIUVVVJQYMGCDmzJnT7P5cLpdISkoSP/nJT9rMKYQQzz//vAAgduzY0eYyr7/+ugAg/vWvfzUbX7FihQAgtm/fLo8BEAEBAaKkpKTZspfep4ceeqjZ+IULF4SXl5d4/PHHm41XVFSIsLAwcd9998ljra2xuJzb7Rb19fViz549AoBIT0+X5xYsWNDmbX+8xmLp0qUCgPj222+bLXf33XcLAOLJJ58UJ0+eFCtXrhQAREREhGhoaJCXO3DggAAg1q9f32ZW8oy5c+eKQYMGCYvFIs6ePSs2btwoBg4cKP8eU8f1imIhhBCvvfaaGDJkiNDpdGLkyJFiz549Skfqk9DK6mIAYu3atUpHa9PlxUIIIdatWycAiA8//FAI0bJYLFu2TKhUKpGfny/q6+ubfY0bN07+IN68ebMAID766KMWjxkZGdmiWPzrX/8SycnJws/Pr9lrp9frmy3XkWLx2WefyZsPLgkODha+vr7yB9mOHTsEAPGf//ynxfNZsmSJUKlUzTYL/NjNN98sYmJi2pwXQoj77rtP+Pn5yWXtkvz8fAFALFmyRB4DIO68884W93Hpffrkk0+ajb/55pvy+/fj/D/96U9FSEiIvGxrxeL06dPi/vvvF6GhoUKlUjV77S/9DAjRsWLxk5/8RAwfPrzFct9++60AIIxGo/D29hZDhw4VAMTSpUubLVdbWysAiJdffrnVxyPPcTgcYuHChWLw4MFCr9eLoUOHimXLlgmn06l0tB6r1+y8+dhjj+Gxxx5TOkafJ3r+aVHws5/9DH/+85+xbNmyVlfT5+fnQwjR4kikS4YOHQoAKC4uBoBWl/vx2MaNG3Hffffh3nvvxR/+8AeEhYXBy8sLq1evxj//+c9rfi6zZs2CJElYu3Ytpk+fjtLSUjgcDixcuBAajUZ+PgDkVf2tKSkpgZ+fX6tzhYWFGDx48BVzFBcXIywsrMVOliEhIfDy8pJfq0va2sTQ2tyl/GPGjGl1+R+v5r5cZWUlJk6cCL1ejxdeeAExMTHw9fVFTk4O7rrrLtTU1FzxebWluLgYkZGRLcaNRiOAxr9Xy5Ytw7lz5xAVFYWgoKBmy3l7ewPANT8+tZ/BYMDKlSt5XhcP6jXFgshTVCoVVqxYgdtuuw1r1qxpMT9w4ECoVCp89dVX8gfA5S6NXfqwuHyfi0vy8vKaffC8//77iIqKwoYNG5p9+Dqdzut6LhqNBg8++CD+3//7fygrK8O6devgdDoxb968Zs8HAP7+97+3OKrkkrZKFAAEBwfjhx9+uGKOoKAgfPvtty2O1iooKEBDQ4Oc4ZIrHeXx47lLt/3Pf/6DIUOGXDHHj+3atQs2mw27d+/G5MmT5fGysrIO3c+PBQUFyfuXXM5mswFAi+dL1Jv0+J03iTrDtGnTcNttt+H5559HZWVlszmz2QwhBHJzczF69OgWX4mJiQAazwjr7e2NDRs2NLv9N9980+JEXCqVCjqdrtmHZl5eHj755JMW2by9vTv0n+y8efNQW1uL9evX4+2338bNN9+M2NhYeX78+PHo378/MjMzW30+o0ePhk6na/P+Z82ahezs7Cvu8Dp16lRUVla2OP/GpR1Tp06d2u7n82MzZsyAl5cXTp8+3Wb+tlx6vX9cEN94440Wy3ZkLcLUqVORmZmJw4cPNxt/9913oVKpMGXKlKveB1FPxTUWRG1YsWIFRo0ahYKCAsTHx8vj48ePx29+8xvMmzcPhw4dwqRJk+Dn5we73Y69e/ciMTERjz76KAYMGIDFixcjNTUVgYGBuPPOO/HDDz9g+fLlkCSp2Sp6s9mMjRs34rHHHsM999yDnJwc/OlPf4IkSTh58mSzXImJidi9ezc+++wzSJIEg8GAYcOGtfk8YmNjcfPNNyM1NRU5OTkt1sL069cPf//73zF37lyUlJTgnnvuQUhICAoLC5Geno7CwsJmp8v/sUWLFmHDhg24/fbbsXTpUvzkJz9BTU0N9uzZA7PZjClTpuChhx7Ca6+9hrlz5+LcuXNITEzE3r178dJLL2H27NnXdUbQyMhIPP/881i2bBnOnDmDmTNnIjAwEPn5+Thw4AD8/PzaPLFVcnIyAgMD8cgjj+DZZ5+FVqvFBx98gPT09BbLXiqMK1aswKxZs6DRaGAymVotXU8++STeffddpKSk4Pnnn8eQIUOQlpaGVatW4dFHH0VMTMw1P1+ibk/ZXTyIlPfjnTcv9/Of/1wAaHEeCyGE+Oc//ynGjh0r/Pz8hI+Pj4iOjhYPPfSQOHTokLyM2+0WL7zwgggPDxc6nU6YTCZhsVhEUlJSix0UX375ZREZGSm8vb1FXFycePPNN1vd2fDIkSNi/PjxwtfX94rnsbjcmjVrBADh4+MjysvLW30d9uzZI1JSUsSAAQOEVqsVgwYNEikpKeLf//731V5CUVpaKu8Ap9VqRUhIiEhJSRHHjx+XlykuLhaPPPKIkCRJeHl5iSFDhoinnnqqzfNY/NiV3ichhNi0aZOYMmWK8Pf3F97e3mLIkCHinnvuaXYujtZez6+//lrcfPPNwtfXVwQHB4tf/epX4vDhwy12OnY6neJXv/qVCA4OlnfyvNp5LH7+85+LoKAgodVqxbBhw8Srr77a7AidS+exePXVV1s8HwDi2WefbfW5EnVnveIiZEQ9ydmzZxEbG4tnn30WTz/9tNJxiIg8isWCqBOlp6dj/fr1SE5Ohr+/P06cOIFXXnkFDocDR48eveJOkUREPRH3sSDqRH5+fjh06BDeeustlJWVISAgALfccgtefPFFlgoi6pW4xoKIiIg8hoebEhERkcewWBAREZHHdPk+Fm63GzabDQaD4Ypn1yMiIqLuQwiBiooKGI3GK54qv8uLhc1mQ0RERFc/LBEREXlATk4OwsPD25zv8mJhMBgANAbz9/fv6ocnIiKia+BwOBARESF/jrely4vFpc0f/v7+LBZEREQ9zNV2Y+DOm0REROQxLBZERETkMSwWRERE5DG9plgczS1HcaVT6RhERER9Wq+5Vsjv/52OkwWVuHloEMwmCTMTwtDfV6d0LCIioj6lVxSLitp6aDVquNwCe08VYe+pIjyz6Sgm3DgQKYkSpseHIcBHq3RMIiKiXq/LL0LmcDgQEBCA8vJyjx9ueq6oCmkZdlisdmTZHfK4TqPGpJiBSDFJmBYXCoOeJYOIiKgj2vv53auKxeVOF1YizWqHxWpDdn6lPK7zUmPKsGCkmIyYFhcCX12vWGlDRETUqfp8sbhcdn4FLOk2WKx2nCmqksf1WjWmxobCbJIwJTYEeq2mS/IQERH1NCwWrRBCIMteAYu1sWRcKKmW53x1GkyLaywZk2KCWTKIiIguw2JxFUIIHM11yCUjt6xGnjN4e+G24aEwJ0mYcEMwdF695qhcIiKia8Ji0QFCCBzJKYPFakea1Y48R60856/3woz4MJiTjEiODoJWw5JBRER9D4vFNXK7BQ5fKG0sGRl2FFY0nXQr0FeLmQkSzCYJ44YGQaO+8oVYiIiIegsWCw9wuQUOnC1BWoYNWzLyUFxVJ88N7KfDrIslY3TkAJYMIiLq1VgsPKzB5cY3Z0pgsdqw9Vgeyqrr5bkQgzdmJ0qYkyRhREQg1CwZRETUy7BYdKJ6lxv7ThXBYrVj27E8VNQ2yHPGAD1mJ0owJxmRFB5w1evWExER9QQsFl3E2eDC3pONJWNHZj4qnU0lIzzQBykmCXNMRsQb/VkyiIiox2KxUEBtvQt7sgthsdqxMysf1XUueS4yyBcpJglmkxGxYQaWDCIi6lE6pVg0NDTgueeewwcffIC8vDxIkoSHH34YzzzzDNTq9h2G2ZuLxeVq6lz44kQBLFYbdh0vQG29W56LDvZDismIOSYJN4YaFExJRETUPp1SLF588UX87W9/wzvvvIP4+HgcOnQI8+bNwwsvvICFCxd6NFhvUuVswM7jBbCk27A7uxB1DU0lY1ioAWaThBSThKHB/RRMSURE1LZOKRZmsxmhoaF466235LG7774bvr6+eO+99zwarLeqqK3H51n5sKTb8eXJQtS7ml7+4ZI/zEkSzIlGDA7yVTAlERFRc+39/O7QpT0nTJiA119/HdnZ2YiJiUF6ejr27t2LlStXtnkbp9MJp7PpJFMOh6PNZfsCg16LO0eE484R4Sivrse2zDykWe3Yd6oImXYHMu0OvLL1BEzhARfXZBgxqL+P0rGJiIjapUNrLIQQePrpp7FixQpoNBq4XC68+OKLeOqpp9q8zXPPPYfly5e3GO+rayzaUlpVh63H8mCx2rD/dDHcl70rIwb3h9lkREqihLAAvXIhiYioz+qUTSEffvgh/vCHP+DVV19FfHw8jhw5gkWLFuGvf/0r5s6d2+ptWltjERERwWJxBUWVTmw5mgdLug0HzpXg8ndoTGQgzCYjZiWGIcTAkkFERF2jU4pFREQEli5digULFshjL7zwAt5//30cP37co8GoUYGjFpsz7LBY7Th0vlQeV6uAsVFBSDFJmJUQhqB+3gqmJCKi3q5T9rGorq5ucVipRqOB2+1u4xZ0vUL89Xh4fBQeHh8Fe3kN0qyNJeNIThn2nynG/jPFePbTY0iODkJKooSZCWHo76tTOjYREfVRHVpj8fDDD+Pzzz/HG2+8gfj4eHz//ff4zW9+g/nz52PFihXtug+usfCMnJJqeU1GRm65PO6lVmHCjQORkihhenwYAny0CqYkIqLeolM2hVRUVOCPf/wjPv74YxQUFMBoNOL+++/H//zP/0Cna99/ySwWnneuqAppF0tGlr3pqBudRo1JMQNhNhkxNS4EBj1LBhERXRue0ruPOl1YeXFziQ3Z+ZXyuM5LjSnDguWS4avr0FYwIiLq41gsCNn5FbCk22Cx2nGmqEoe12vVmBobCrNJwpTYEOi1GgVTEhFRT8BiQTIhBLLsFbBYG0vGhZJqec5Xp8G0uMaSMSkmmCWDiIhaxWJBrRJC4GiuQy4ZuWU18pzB2wu3DQ+FOUnChBuCofNq34XliIio92OxoKsSQuBIThksVjvSrHbkOWrlOX+9F2bEh8GcZERydBC0GpYMIqK+jMWCOsTtFjh8obSxZGTYUVjRdLbUQF8tZiZIMJskjBsaBI1apWBSIiJSAosFXTOXW+DA2RKkZdiwJSMPxVV18tzAfjrMulgyRkcOYMkgIuojWCzIIxpcbnxz5mLJOJqHsup6eS7E4I3ZiRLmJEkYEREINUsGEVGvxWJBHlfvcmPfqSKkWe3YdiwPjtoGec4YoMfsRAnmJCOSwgOgUrFkEBH1JiwW1KnqGtz46mQh0qx2bM/MR6WzqWSEB/ogxSRhjsmIeKM/SwYRUS/AYkFdprbehT3ZjSXj86x8VNe55LnIIF+kmCSYTUbEhhlYMoiIeigWC1JETZ0LX5woQJrVjp3H81Fb33Tl2+hgP6SYjJhjknBjqEHBlERE1FEsFqS4KmcDdh4vgCXdht3ZhahraCoZw0INF9dkSBga3E/BlERE1B4sFtStVNTW4/OsfFjS7fjyZCHqXU0/dsMlf5iTJJgTjRgc5KtgSiIiaguLBXVb5dX12J6ZB4vVjn2nitDgbvoRNIUHwGySMDtRQnggSwYRUXfBYkE9QmlVHbYdaywZX58uwmUdAyMG94fZZMTsxDBIAT7KhSQiIhYL6nmKKp3YejQPFqsN354tweU/mWMiA2E2GTErMQwhBr1yIYmI+igWC+rRChy12JzReN2Sg+dK5XGVChgbNaCxZCSEIaift4IpiYj6DhYL6jXs5TVIu3hxtO8vlMnjGrUKNw8NgtkkYUZ8GAL9dMqFJCLq5VgsqFf6obQaaVY7LFY7MnLL5XEvtQrjbxgIs0nC9PgwBPhoFUxJRNT7sFhQr3e+uAqWiyUjy+6Qx3UaNSbFDESKScK0uFAY9CwZRETXi8WC+pTThZUX12TYkJ1fKY/rvNSYMiwYKSYjpsWFwFfnpWBKIqKei8WC+qzs/IqLazJsOFNYJY/rtWpMjQ2F2SThlmEh8NFpFExJRNSzsFhQnyeEQJa9AmkZNlisdpwvrpbnfHUaTItrLBmTYoKh17JkEBFdSacVi9zcXCxZsgRbtmxBTU0NYmJi8NZbb2HUqFEeDUbkSUIIHM11wJJhgyXdjtyyGnnO4O2F24aHwpwkYcINwdB5qRVMSkTUPXVKsSgtLcWIESMwZcoUPProowgJCcHp06cRGRmJ6OhojwYj6ixCCBzJKZMPYbWX18pz/novzIgPgznJiOToIGg1LBlEREAnFYulS5di3759+Oqrrzo9GFFXcLsFDl8oheViySiscMpzgb5azEwIg9lkxNioAfBiySCiPqxTisXw4cMxY8YM/PDDD9izZw8GDRqExx57DL/+9a/bvI3T6YTT2fTH2uFwICIigsWCuh2XW+DguRJYrDZsychDcVWdPDewn04uGWMiB0CjVimYlIio63VKsdDrG6/RsHjxYtx77704cOAAFi1ahDfeeAMPPfRQq7d57rnnsHz58hbjLBbUnTW43Pj27MWScTQPZdX18lyIwRuzEyWYTRJGDg6EmiWDiPqATikWOp0Oo0ePxtdffy2PPfHEEzh48CD279/f6m24xoJ6unqXG1+fLoYl3YZtx/LgqG2Q56QAPVISJaSYJNwU0R8qFUsGEfVO7S0WHTpbkCRJGD58eLOxuLg4fPTRR23extvbG97evFAU9VxajRqTY4IxOSYYL96ZiK9OFiLNasf2zHzYy2vxv3vP4n/3nkV4oA9STBLMiUYkDPJnySCiPqlDxWL8+PE4ceJEs7Hs7GwMGTLEo6GIuiudlxpT40IxNS4UtfUu7MluLBmfZ+Xjh9IavLHnDN7YcwaRQb5IMUlISTQiTjKwZBBRn9GhTSEHDx5EcnIyli9fjvvuuw8HDhzAr3/9a6xZswYPPPBAu+6DR4VQb1RT58IXJwpgsdqw63gBauvd8tzQYD+YTUbMMUm4MdSgYEoiomvXaSfIslgseOqpp3Dy5ElERUVh8eLFVzwq5FqDEfVUVc4G7DxeAEu6DbuzC1HX0FQyYkL7wWwywmySMDS4n4IpiYg6hqf0JuoGKmrr8XlWPizpdnx5shD1rqZftzjJH2aThDkmIwYH+SqYkojo6lgsiLqZ8up6bM/Mg8Vqx75TRWhwN/3qmcID5KNLwgNZMoio+2GxIOrGSqvqsPVYHtKsdnx9ugiXdQyMGNxfLhlSgI9yIYmILsNiQdRDFFU6seVoHizpNhw4V4LLfyPHRAYiJVHC7EQJIf565UISUZ/HYkHUAxU4arE5ww6L1Y5D50vlcZUKGBs1AGaTETMTwjCwH88NQ0Rdi8WCqIezldXIJeNITpk8rlYBydEDYTZJmBEfhkA/nXIhiajPYLEg6kVySqrlkpGRWy6Pe6lVGH9DY8mYHh+GAB+tgimJqDdjsSDqpc4VVSHtYsnIsjvkca1GhUk3BsOcJGFaXCgMepYMIvIcFguiPuBUQSXSrHZYrDacLKiUx3VeatwSEwxzkhFTY0Pg592hs/cTEbXAYkHUx2TnV8CSboPFaseZoip5XK9V49bYEJhNRkwZFgIfnUbBlETUU7FYEPVRQghk2StgsTaWjAsl1fKcr06DaXGhSDFJmBwTDL2WJYOI2ofFgogghEBGbvnFzSV25JbVyHMGby/cNjwU5iQJE24Ihs5LrWBSIuruWCyIqBkhBL7PKUOa1Y40qx15jlp5zl/vhRnxYTAnGZEcHQSthiWDiJpjsSCiNrndAt9dKG0sGRl2FFY45blAXy1mJoTBbDJibNQAeLFkEBFYLIionVxugQNnS2Cx2rD1aB6Kq+rkuYH9dHLJGBM5ABq1SsGkRKQkFgsi6rAGlxvfnLlYMo7loay6Xp4LMXhjdqIEs0nCyMGBULNkEPUpLBZEdF3qXW7sO1UEi9WObcfyUFHbIM9JAXqkJEowJxmRFB4AlYolg6i3Y7EgIo9xNriw92RjydiRmY9KZ1PJCA/0QYpJwhyTEfFGf5YMol6KxYKIOkVtvQt7sgthsdqxMysf1XUueS4yyBcpJglmkxGxYQaWDKJehMWCiDpdTZ0Lu44XIC3Dhl3HC1Bb75bnooP9kGIyYo5Jwo2hBgVTEpEnsFgQUZeqcjbg86x8pFnt2J1diLqGppIxLNQAs0lCiknC0OB+CqYkomvFYkFEiqmorceOzHxYrHZ8dbIQ9a6mPzPDJX+YkySYE40YHOSrYEoi6ggWCyLqFsqr67EtMw8Wqx37ThXB5W76k2MKD7i4JsOIQf19FExJRFfDYkFE3U5JVR22HcuDxWrD/tPFuKxjYMTg/jCbjEhJlBAWoFcuJBG1qkuKRWpqKp5++mksXLgQK1eu9GgwIurdiiqd2HI0D5Z0Gw6cK8Hlf4nGRAbCbDJiVmIYQgwsGUTdQacXi4MHD+K+++6Dv78/pkyZwmJBRNcs31GLLRmNV2A9dL5UHlergLFRQTAnSZgZH4agft4KpiTq2zq1WFRWVmLkyJFYtWoVXnjhBdx0000sFkTkEbayGmy+WDKO5JTJ4xq1CsnRQTCbJMyID0N/X51yIYn6oE4tFnPnzsWAAQPwt7/9DbfccssVi4XT6YTT2XTlRIfDgYiICBYLIrqqnJJquWRk5JbL415qFSbcOBBmkxG3DQ9FgI9WwZREfUN7i4VXR+/4ww8/xOHDh3Hw4MF2LZ+amorly5d39GGIiBAxwBe/nRyN306OxrmiKqRdLBlZdgd2nyjE7hOF0GnUmBTTWDKmxoXAoGfJIFJSh9ZY5OTkYPTo0di+fTuSkpIAgGssiKjLnSqoRJrVDovVhpMFlfK4zkuNKcOC5ZLhq+vw/05E1IZO2RSyadMm3HnnndBoNPKYy+WCSqWCWq2G0+lsNnc9wYiI2iM7vwKWdBssVjvOFFXJ4z5aDW6NC4E5UcKU2BDotVf+20REV9YpxaKiogLnz59vNjZv3jzExsZiyZIlSEhI8FgwIqKOEEIgy14Bi7WxZFwoqZbn/HQaTBseipRECZOHBcPbiyWDqKO67ARZV9sUcq3BiIiulRACR3MdcsnILauR5wzeXrgtPhRmk4QJNwRD56VWMClRz9FpO28SEXV3KpUKieEBSAwPwNJZsTiSUwaL1Y40qx15jlpsPJyLjYdzEeCjxYz4UKSYjEiODoJWw5JBdL14Sm8i6jPcboHDF0obS0aGHYUVTTuWB/pqMTNBgtkkYdzQIGjUKgWTEnU/vFYIEdEVuNwCB86WIC3Dhi0ZeSiuqpPnBvbTYdbFkjE6cgBLBhFYLIiI2q3B5cY3Z0pgsdqw9Vgeyqrr5bkQgzdmJ0qYkyRhREQg1CwZ1EexWBARXYN6lxv7ThXBYrVj27E8VNQ2yHPGAD1mJ0owJxmRFB4AlYolg/oOFgsiouvkbHBh78nGkrEjMx+VzqaSER7ogxSThDkmI+KN/iwZ1OuxWBAReVBtvQt7sgthsdqxMysf1XUueS4yyBcpJglmkxGxYQaWDOqVWCyIiDpJTZ0LX5wogMVqw67jBaitd8tz0cF+SDEZMcck4cZQg4IpiTyLxYKIqAtUORuw83gBLOk27M4uRF1DU8kYFmqA2SQhxSRhaHA/BVMSXT8WCyKiLlZRW4/Ps/JhSbfjy5OFqHc1/XkdLvnDnCTBnGjE4CBfBVMSXRsWCyIiBZVX12NbZh7SrHbsO1WEBnfTn1pTeMDFNRlGDOrvo2BKovZjsSAi6iZKq+qw9Vhjyfj6dBEu6xgYMbg/zCYjUhIlhAXolQtJdBUsFkRE3VBRpRNbjubBkm7DgXMluPwv8JjIQJhNRsxKDEOIgSWDuhcWCyKibq7AUYvNGXZYrHYcOl8qj6tVwNioIKSYJMxKCENQP28FUxI1YrEgIupB7OU1SLM2lowjOWXyuEatQnJ0EFISJcxMCEN/X51yIalPY7EgIuqhckqq5TUZGbnl8riXWoUJNw5ESqKE6fFhCPDRKpiS+hoWCyKiXuB8cRUsF9dkZNkd8rhOo8akmIFIMUmYFhcKg54lgzoXiwURUS9zurDy4uYSG7LzK+VxnZcaU4YFw2wyYmpcCHx1XgqmpN6KxYKIqBfLzq+AJd0Gi9WOM0VV8rheq8bU2FCYTRKmxIZAr9UomJJ6ExYLIqI+QAiBLHsFLNbGknGhpFqe89VpMC2usWRMiglmyaDrwmJBRNTHCCFwNNchl4zcshp5zuDthduGh8KcJGHCDcHQeakVTEo9EYsFEVEfJoTAkZwyWKx2pFntyHPUynP+ei/MiA+DOcmI5OggaDUsGXR1LBZERAQAcLsFDl8obSwZGXYUVjjluUBfLWYmhMFsMmJs1AB4sWRQG1gsiIioBZdb4OC5ElisNmzJyENxVZ08N7CfDrMSGi/zPiZyADRqlYJJqbthsSAioitqcLnx7dmLJeNoHsqq6+W5EIM3ZidKMJskjBwcCDVLRp/XKcUiNTUVGzduxPHjx+Hj44Pk5GSsWLECw4YN83gwIiLqOvUuN/adKkKa1Y5tx/LgqG2Q54wB+saSkWREUngAVCqWjL6oU4rFzJkz8bOf/QxjxoxBQ0MDli1bhoyMDGRmZsLPz8+jwYiISBl1DW58dbIQaVY7tmfmo9LZVDLCA32QYpIwx2REvNGfJaMP6ZJNIYWFhQgJCcGePXswadIkjwYjIiLl1da7sCe7sWR8npWP6jqXPBcZ5IsUkwSzyYjYMANLRi/XJcXi1KlTuPHGG5GRkYGEhIRWl3E6nXA6m/ZAdjgciIiIYLEgIuphaupc+OJEASxWG3YdL0BtvVueiw72Q4rJiDkmCTeGGhRMSZ2l04uFEAK33347SktL8dVXX7W53HPPPYfly5e3GGexICLquaqcDdh5vACWdBt2ZxeirqGpZAwLNVxckyFhaHA/BVOSJ3V6sViwYAHS0tKwd+9ehIeHt7kc11gQEfVuFbX1+DwrH5Z0O748WYh6V9PHynDJX94nY3CQr4Ip6Xp1arF4/PHHsWnTJnz55ZeIiorqlGBERNTzlFfXY3tmHixWO/adKkKDu+kjxhQegJTExvNkhAeyZPQ0nVIshBB4/PHH8fHHH2P37t248cYbOy0YERH1bKVVddh2rLFkfH26CJd1DIwY3B9mkxGzE8MgBfgoF5LarVOKxWOPPYZ169bhk08+aXbuioCAAPj4tO8Hg8WCiKjvKap0YsvRPKRZbfj2bAku/+QZExkIs8mIWYlhCDHolQtJV9QpxaKtQ4nWrl2Lhx9+2KPBiIiodypw1GJzhh0Wqx2HzpfK4yoVMDZqQGPJSAhDUD9vBVPSj/GU3kRE1O3Zy2uQZm0sGUdyyuRxjVqFm4cGwWySMCM+DIF+OuVCEgAWCyIi6mFySqrlNRkZueXyuJdahfE3DITZJGF6fBgCfLQKpuy7WCyIiKjHOldUhbSLJSPL7pDHtRoVJt0YDHOShGlxoTDoWTK6CosFERH1CqcLKy9uLrEhO79SHtd5qXFLTDDMSUZMiwuBr85LwZS9H4sFERH1Otn5FbCk22Cx2nGmqEoe12vVmBobCrNJwi3DQuCj0yiYsndisSAiol5LCIEsewUs1saScaGkWp7z1WkwLa6xZEyKCYZey5LhCSwWRETUJwghcDTXIZeM3LIaec7g7YXbhofCnCRhwg3B0HmpFUzas7FYEBFRnyOEwJGcMlisdqRZ7chz1Mpz/novzIgPgznJiOToIGg1LBkdwWJBRER9mtst8N2FUqRZ7UjLsKOwoumCmIG+WsxMCIPZZMTYqAHwYsm4KhYLIiKii1xugQNnS2Cx2rD1aB6Kq+rkuYH9dHLJGBM5ABp162eZ7utYLIiIiFrR4HLjmzMXS8axPJRV18tzIQZvzE6UYDZJGDk4EGqWDBmLBRER0VXUu9zYd6oIFqsd247loaK2QZ6TAvTyZd5viujf5vWy+goWCyIiog5wNriw92RjydiRmY9KZ1PJCA/0QYpJgjnRiIRB/n2yZLBYEBERXaPaehf2ZBfCYrVjZ1Y+qutc8lxkkC9STBJSEo2Ikwx9pmSwWBAREXlATZ0Lu44XIC3Dhl3HC1Bb75bnhgb7wWwyYo5Jwo2hBgVTdj4WCyIiIg+rcjbg86x8pFnt2J1diLqGppIxLNTQuLnEJGFocD8FU3YOFgsiIqJOVFFbjx2ZjSXjy5OFqHc1fZwOl/yRYpIwx2TE4CBfBVN6DosFERFRFymvrse2zDykWe3Yd6oIDe6mj1ZTeIB8dEl4YM8tGSwWRERECiitqsPWY40l4+vTRbisY2DE4P4wm4yYnRgGKcBHuZDXgMWCiIhIYUWVTmw5mgdLug0HzpXg8k/cMZGBMJuMmJUYhhCDXrmQ7cRiQURE1I0UOGqxOcMOi9WOQ+dL5XGVChgbNaCxZCSEIaift4Ip28ZiQURE1E3Zy2uQZm0sGUdyyuRxjVqFm4cGwWySMCM+DIF+OuVC/giLBRERUQ+QU1Itr8nIyC2Xx73UKoy/YSDMJgnT48MQ4KNVMCWLBRERUY9zvrgKlotrMrLsDnlcp1FjUsxApJgkTIsLhUHf9SWjU4vFqlWr8Oqrr8JutyM+Ph4rV67ExIkTPRqMiIioLztdWHlxc4kN2fmV8rjOS40pw4KRYjJiWlwIfHVeXZKn04rFhg0b8OCDD2LVqlUYP3483njjDfzv//4vMjMzMXjwYI8FIyIiokbZ+RWwpNtgsdpxpqhKHtdr1ZgaGwqzScItw0Lgo9N0WoZOKxZjx47FyJEjsXr1anksLi4Od9xxB1JTUz0WjIiIiJoTQiDLXgGLtbFkXCiplud8dRpMi2ssGZNigqHXerZkdEqxqKurg6+vL/7973/jzjvvlMcXLlyII0eOYM+ePS1u43Q64XQ6mwWLiIhgsSAiIroOQggczXXIJSO3rEaeszw+AQmDAjz6eO0tFh3aMFNUVASXy4XQ0NBm46GhocjLy2v1NqmpqVi+fHlHHoaIiIiuQqVSITE8AInhAVg6KxZHcspgsdpxNLcc8Ubl/nG/pj0+fnzteSFEm9ejf+qpp7B48WL5+0trLIiIiMgzVCoVRgwOxIjBgUpH6VixGDhwIDQaTYu1EwUFBS3WYlzi7e0Nb+/ueRYxIiIi8ix1RxbW6XQYNWoUduzY0Wx8x44dSE5O9mgwIiIi6nk6vClk8eLFePDBBzF69GjcfPPNWLNmDS5cuIBHHnmkM/IRERFRD9LhYvHTn/4UxcXFeP7552G325GQkIDNmzdjyJAhnZGPiIiIepAuP6V3eXk5+vfvj5ycHB5uSkRE1ENcOviirKwMAQFtH8raNecBvUxFRQUA8MgQIiKiHqiiouKKxaLL11i43W7YbDYYDIY2D1G9FpeaFNeEdA98P7ofvifdC9+P7oXvx9UJIVBRUQGj0Qi1uu1jP7p8jYVarUZ4eHin3b+/vz9/KLoRvh/dD9+T7oXvR/fC9+PKrrSm4pIOHW5KREREdCUsFkREROQxvaZYeHt749lnn+VZPrsJvh/dD9+T7oXvR/fC98NzunznTSIiIuq9es0aCyIiIlIeiwURERF5DIsFEREReQyLBREREXkMiwURERF5TK8pFqtWrUJUVBT0ej1GjRqFr776SulIfVJqairGjBkDg8GAkJAQ3HHHHThx4oTSseii1NRUqFQqLFq0SOkofVZubi5+8YtfICgoCL6+vrjpppvw3XffKR2rz2poaMAzzzyDqKgo+Pj4YOjQoXj++efhdruVjtZj9YpisWHDBixatAjLli3D999/j4kTJ2LWrFm4cOGC0tH6nD179mDBggX45ptvsGPHDjQ0NGD69OmoqqpSOlqfd/DgQaxZswYmk0npKH1WaWkpxo8fD61Wiy1btiAzMxN/+ctf0L9/f6Wj9VkrVqzA66+/jn/84x/IysrCK6+8gldffRV///vflY7WY/WK81iMHTsWI0eOxOrVq+WxuLg43HHHHUhNTVUwGRUWFiIkJAR79uzBpEmTlI7TZ1VWVmLkyJFYtWoVXnjhBdx0001YuXKl0rH6nKVLl2Lfvn1co9qNmM1mhIaG4q233pLH7r77bvj6+uK9995TMFnP1ePXWNTV1eG7777D9OnTm41Pnz4dX3/9tUKp6JLy8nIAwIABAxRO0rctWLAAKSkpmDZtmtJR+rRPP/0Uo0ePxr333ouQkBCMGDECb775ptKx+rQJEyZg586dyM7OBgCkp6dj7969mD17tsLJeq4uv7qppxUVFcHlciE0NLTZeGhoKPLy8hRKRUDjJXYXL16MCRMmICEhQek4fdaHH36Iw4cP4+DBg0pH6fPOnDmD1atXY/HixXj66adx4MABPPHEE/D29sZDDz2kdLw+acmSJSgvL0dsbCw0Gg1cLhdefPFF3H///UpH67F6fLG4RKVSNfteCNFijLrW7373O1itVuzdu1fpKH1WTk4OFi5ciO3bt0Ov1ysdp89zu90YPXo0XnrpJQDAiBEjcOzYMaxevZrFQiEbNmzA+++/j3Xr1iE+Ph5HjhzBokWLYDQaMXfuXKXj9Ug9vlgMHDgQGo2mxdqJgoKCFmsxqOs8/vjj+PTTT/Hll18iPDxc6Th91nfffYeCggKMGjVKHnO5XPjyyy/xj3/8A06nExqNRsGEfYskSRg+fHizsbi4OHz00UcKJaI//OEPWLp0KX72s58BABITE3H+/HmkpqayWFyjHr+PhU6nw6hRo7Bjx45m4zt27EBycrJCqfouIQR+97vfYePGjdi1axeioqKUjtSnTZ06FRkZGThy5Ij8NXr0aDzwwAM4cuQIS0UXGz9+fIvDr7OzszFkyBCFElF1dTXU6uYfhRqNhoebXocev8YCABYvXowHH3wQo0ePxs0334w1a9bgwoULeOSRR5SO1ucsWLAA69atwyeffAKDwSCvSQoICICPj4/C6foeg8HQYv8WPz8/BAUFcb8XBTz55JNITk7GSy+9hPvuuw8HDhzAmjVrsGbNGqWj9Vlz5szBiy++iMGDByM+Ph7ff/89/vrXv2L+/PlKR+u5RC/x2muviSFDhgidTidGjhwp9uzZo3SkPglAq19r165VOhpdNHnyZLFw4UKlY/RZn332mUhISBDe3t4iNjZWrFmzRulIfZrD4RALFy4UgwcPFnq9XgwdOlQsW7ZMOJ1OpaP1WL3iPBZERETUPfT4fSyIiIio+2CxICIiIo9hsSAiIiKPYbEgIiIij2GxICIiIo9hsSAiIiKPYbEgIiIij2GxICIiIo9hsSAiIiKPYbEgIiIij2GxICIiIo/5/6fpFURn/q4zAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(nrows=2, ncols=1)\n", "\n", "# First subplot\n", "axs[0].plot(x, y)\n", "axs[0].set_title('Positive correlation')\n", "\n", "# Second subplot\n", "axs[1].plot(x, y2)\n", "axs[1].set_title('Negative correlation')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "98cdcad0-87b2-42cd-997e-238715135c36", "metadata": {}, "source": [ "But when we have two rows *and* two columns, we need to use 2D indexing:\n" ] }, { "cell_type": "code", "execution_count": 6, "id": "4dad1c97-edd5-4205-8333-b9122df10b17", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(nrows=2, ncols=2)\n", "\n", "# First subplot\n", "axs[0, 0].plot(x, y)\n", "axs[0, 0].set_title('Positive correlation')\n", "\n", "# Second subplot\n", "axs[0, 1].plot(x, y2)\n", "axs[0, 1].set_title('Negative correlation')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "becbc96a-fdfc-4d08-911d-f295c38c3030", "metadata": {}, "source": [ "## Basic Formatting with subplots\n", "\n", "### Figure size\n", "You might have noticed two annoying things about the above figures with subplots. Firstly, the subplots aren't square, but our *x* and *y* axes cover the same range, so ideally they would be of the same length in the plot. We can set the figure size with an additional `figsize` kwarg to `plt.subplots()`, giving it a list of `[width, height]`. Note that this specifies the width and height of the entire figure. So in the example below, since we are plotting two rows and one column, we make the height double the width:\n", "\n", "~~~python\n", "fig, axs = plt.subplots(nrows=2, ncols=1, figsize=[5, 10])\n", "~~~\n", "\n", "This can require some trial-and-error, because the height in this case also includes the plot titles, so the results will not look perfectly square.\n", "\n", "### Avoiding overlap\n", "The other annoying thing is that, specifically in the two-row-one-column plot above, the title of the bottom subplot overlaps with the tick labels for the top *x* axis. Matplotlib has a handy function that automatically corrects this in most cases:\n", "\n", "~~~python\n", "plt.tight_layout()\n", "~~~\n", "\n", "To put this altogether, try the following:" ] }, { "cell_type": "code", "execution_count": 7, "id": "688bd95f-1953-438e-a0f1-7ebfa914a284", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(nrows=2, ncols=1, figsize=[5, 10])\n", "\n", "# First subplot\n", "axs[0].plot(x, y)\n", "axs[0].set_title('Positive correlation')\n", "\n", "# Second subplot\n", "axs[1].plot(x, y2)\n", "axs[1].set_title('Negative correlation')\n", "\n", "fig.suptitle('Two types of perfect correlations')\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "e7ce4499-dfdf-4346-b8a5-7747f6a4628d", "metadata": {}, "source": [ "---\n", "## Summary of Key Points\n", "- Using `plt.subplots()`, we can generate figures containing multiple subplots\n", "- The number of rows and columns of subplots in a figure is set by the `nrows=` and `ncols=` kwargs, or alternatively just providing the number of rows and columns as the first arguments to `plt.subplots()`\n", "- When creating a figure with subplots, it's good practice to assign the result to `fig, axs` rather than `fig, ax`, to reflect the fact that `axs` is an object containing all of the axes\n", "- The different axes of a subplot are accessed (such as for drawing into, or modifying properties) using indexing, as in `axs[0]`\n", "- If a figure's layout is two-dimensional (i.e., > 1 rows and > 1 columns), then two-dimensional indexing is required for axes (e.g., `axs[0, 1]`)\n", "- The figure's overall size is set by the `figsize=` kwarg to `plt.subplots()`\n", "- Avoid overlapping elements in subplots by running `plt.tight_layout()` right before `plt.show()`" ] }, { "cell_type": "markdown", "id": "86dfa4d5-b71b-4985-9270-723759c3402e", "metadata": {}, "source": [ "---\n", "This section was adapted from Aaron J. Newman's [Data Science for Psychology and Neuroscience - in Python](https://neuraldatascience.io/intro.html)." ] } ], "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": "3.10.8" } }, "nbformat": 4, "nbformat_minor": 5 }