06-Style and Color.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.5.1"},"colab":{"name":"06-Style and Color.ipynb","provenance":[],"collapsed_sections":[],"toc_visible":true}},"cells":[{"cell_type":"markdown","metadata":{"id":"HVfn4NHgPGh9"},"source":["--- \r\n","<strong> \r\n","    <h1 align='center'>Seaborn - Style and Color</h1> \r\n","</strong>\r\n","\r\n","---"]},{"cell_type":"markdown","metadata":{"id":"bObF-G3Gz0ed"},"source":["## Imports"]},{"cell_type":"code","metadata":{"collapsed":true,"id":"-zENX1wYz0ee"},"source":["import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","#sns.set_theme(style='whitegrid')\n","#plt.style.use('ggplot') # style\n","%matplotlib inline"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"collapsed":true,"id":"JWUVwaF5G2Cr"},"source":["iris = sns.load_dataset('iris')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":197},"id":"WnPuQqWJG2Cs","executionInfo":{"status":"ok","timestamp":1614635349443,"user_tz":-330,"elapsed":2683,"user":{"displayName":"faizy","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi9OnkER3xzaOlgnoeS9xNlzHdkqyRS2s8PTotHkw=s64","userId":"00466318749872658969"}},"outputId":"41554009-44b7-4e0b-b0a1-61e23072eacc"},"source":["iris.head()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>sepal_length</th>\n","      <th>sepal_width</th>\n","      <th>petal_length</th>\n","      <th>petal_width</th>\n","      <th>species</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>5.1</td>\n","      <td>3.5</td>\n","      <td>1.4</td>\n","      <td>0.2</td>\n","      <td>setosa</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>4.9</td>\n","      <td>3.0</td>\n","      <td>1.4</td>\n","      <td>0.2</td>\n","      <td>setosa</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>4.7</td>\n","      <td>3.2</td>\n","      <td>1.3</td>\n","      <td>0.2</td>\n","      <td>setosa</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4.6</td>\n","      <td>3.1</td>\n","      <td>1.5</td>\n","      <td>0.2</td>\n","      <td>setosa</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5.0</td>\n","      <td>3.6</td>\n","      <td>1.4</td>\n","      <td>0.2</td>\n","      <td>setosa</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   sepal_length  sepal_width  petal_length  petal_width species\n","0           5.1          3.5           1.4          0.2  setosa\n","1           4.9          3.0           1.4          0.2  setosa\n","2           4.7          3.2           1.3          0.2  setosa\n","3           4.6          3.1           1.5          0.2  setosa\n","4           5.0          3.6           1.4          0.2  setosa"]},"metadata":{"tags":[]},"execution_count":5}]},{"cell_type":"markdown","metadata":{"collapsed":true,"id":"9O7R8XzrnVmp"},"source":["# Style and Color\n","\n","We've shown a few times how to control figure aesthetics in seaborn, but let's now go over it formally:"]},{"cell_type":"markdown","metadata":{"id":"2r-53U6VnVmt"},"source":["## Styles\n","\n","You can set particular styles:"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":302},"id":"O_4bb2FdnVmv","executionInfo":{"status":"ok","timestamp":1614635593198,"user_tz":-330,"elapsed":1446,"user":{"displayName":"faizy","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi9OnkER3xzaOlgnoeS9xNlzHdkqyRS2s8PTotHkw=s64","userId":"00466318749872658969"}},"outputId":"7edf127b-b136-42b0-b249-27a8c39d71bb"},"source":["sns.set_theme()\r\n","sns.countplot(x='sex',data=tips)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f3c01749b90>"]},"metadata":{"tags":[]},"execution_count":19},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":302},"id":"hwnZSSbfnVm1","executionInfo":{"status":"ok","timestamp":1614635596575,"user_tz":-330,"elapsed":1652,"user":{"displayName":"faizy","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi9OnkER3xzaOlgnoeS9xNlzHdkqyRS2s8PTotHkw=s64","userId":"00466318749872658969"}},"outputId":"43a8d3f1-10a1-487d-bdd5-8bfcdcfc4f8c"},"source":["sns.set_style('white')\n","sns.countplot(x='sex',data=tips)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f3c11192310>"]},"metadata":{"tags":[]},"execution_count":20},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":302},"id":"f8-dGr_RnVm2","executionInfo":{"status":"ok","timestamp":1614635598627,"user_tz":-330,"elapsed":1351,"user":{"displayName":"faizy","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi9OnkER3xzaOlgnoeS9xNlzHdkqyRS2s8PTotHkw=s64","userId":"00466318749872658969"}},"outputId":"f8576dba-6c8e-4c5d-960e-748be4fc205b"},"source":["sns.set_style('ticks')\n","sns.countplot(x='sex', data=tips, palette='deep')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f3c01681c10>"]},"metadata":{"tags":[]},"execution_count":21},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"NwmZ2mUcnVm5"},"source":["## Spine Removal"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":284},"id":"HBzhhQ6-nVm6","executionInfo":{"status":"ok","timestamp":1614635620190,"user_tz":-330,"elapsed":1751,"user":{"displayName":"faizy","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi9OnkER3xzaOlgnoeS9xNlzHdkqyRS2s8PTotHkw=s64","userId":"00466318749872658969"}},"outputId":"582a2f85-8dc2-46e3-88d6-f40138fead20"},"source":["sns.countplot(x='sex',data=tips)\n","sns.despine()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":284},"id":"Xpk6SZoYnVm7","executionInfo":{"status":"ok","timestamp":1614635559627,"user_tz":-330,"elapsed":2028,"user":{"displayName":"faizy","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi9OnkER3xzaOlgnoeS9xNlzHdkqyRS2s8PTotHkw=s64","userId":"00466318749872658969"}},"outputId":"b7344707-f311-4db2-f21e-4c2f67ed7fd8"},"source":["sns.countplot(x='sex',data=tips)\n","sns.despine(left=True)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"znEhvRnVnVm8"},"source":["## Size and Aspect"]},{"cell_type":"markdown","metadata":{"id":"MAVEcO11nVm9"},"source":["You can use matplotlib's **plt.figure(figsize=(width,height) ** to change the size of most seaborn plots.\n","\n","You can control the size and aspect ratio of most seaborn grid plots by passing in parameters: size, and aspect. For example:"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":412},"id":"bNtlofF0nVm-","executionInfo":{"status":"ok","timestamp":1614635662449,"user_tz":-330,"elapsed":1571,"user":{"displayName":"faizy","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi9OnkER3xzaOlgnoeS9xNlzHdkqyRS2s8PTotHkw=s64","userId":"00466318749872658969"}},"outputId":"33c0a14d-19c9-41cb-c04e-9f436378b273"},"source":["# Non Grid Plot\n","plt.figure(figsize=(9,6),facecolor='lightgrey')\n","sns.countplot(x='sex',data=tips)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f3c014e8150>"]},"metadata":{"tags":[]},"execution_count":25},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 648x432 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":238},"id":"ulcJyC50nVm_","executionInfo":{"status":"ok","timestamp":1614635729607,"user_tz":-330,"elapsed":1240,"user":{"displayName":"faizy","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi9OnkER3xzaOlgnoeS9xNlzHdkqyRS2s8PTotHkw=s64","userId":"00466318749872658969"}},"outputId":"c5d32c3e-c509-403b-8337-7ab6b3b7edbc"},"source":["# Grid Type Plot\n","sns.lmplot(x='total_bill', y='tip',\n","           size=2, aspect=6,\n","           data=tips)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/usr/local/lib/python3.7/dist-packages/seaborn/regression.py:580: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n","  warnings.warn(msg, UserWarning)\n"],"name":"stderr"},{"output_type":"execute_result","data":{"text/plain":["<seaborn.axisgrid.FacetGrid at 0x7f3c01933d50>"]},"metadata":{"tags":[]},"execution_count":29},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 864x144 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"NwtoUpK1nVnC"},"source":["## Scale and Context\n","\n","The set_context() allows you to override default parameters:"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":647},"id":"IH_atsRNnVnC","executionInfo":{"status":"ok","timestamp":1614635847135,"user_tz":-330,"elapsed":1972,"user":{"displayName":"faizy","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi9OnkER3xzaOlgnoeS9xNlzHdkqyRS2s8PTotHkw=s64","userId":"00466318749872658969"}},"outputId":"b6963725-10de-44c6-8863-0ecef611940c"},"source":["sns.set_context('poster', font_scale=2)\n","plt.figure(figsize=(12, 9))\n","sns.countplot(x='sex',data=tips,palette='coolwarm')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f3bf7197410>"]},"metadata":{"tags":[]},"execution_count":38},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 864x648 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"_TGzn1ztnVnD"},"source":["Check out the documentation page for more info on these topics:\n","https://stanford.edu/~mwaskom/software/seaborn/tutorial/aesthetics.html"]}]}