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R ggplot2 v.s. Python Seaborn: Scatter Plot of Iris dataset (Log10 scale of Y and Color by iris species)
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 30, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import matplotlib.pyplot as plt\n", | |
"plt.style.use('seaborn-whitegrid')\n", | |
"import pandas as pd\n", | |
"import numpy as np\n", | |
"import seaborn as sns\n", | |
"%matplotlib inline\n", | |
"sns.set_style('white')\n", | |
"sns.set_context(\"notebook\")\n", | |
"sns.set_palette(\"colorblind\")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 31, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"iris = pd.read_csv('https://raw.github.com/pandas-dev/pandas/master/pandas/tests/data/iris.csv')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 32, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"Index(['SepalLength', 'SepalWidth', 'PetalLength', 'PetalWidth', 'Name'], dtype='object')" | |
] | |
}, | |
"execution_count": 32, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"iris.columns" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 37, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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MaRmKIYHtcfb+bZ1/f+5+psGYDJUATS0tmjPj0VSmljOJrI1Eo9FoLB2EIRkZGYiKisKh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\nIiKb8/9htheuZzn+ewAAAABJRU5ErkJggg==\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x1177747b8>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"iris['PetalLengthLog10'] = np.log10(iris.PetalLength)\n", | |
"g = sns.pairplot(data = iris, x_vars = 'SepalLength', y_vars = 'PetalLengthLog10', \\\n", | |
" hue = 'Name', palette='colorblind', size=5);\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 36, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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F0Oi0ru4KEZHL2TRy+/TTT/HJJ58gICAAADBq1CiMGDEC48ePF7VzZJ1QwWVP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\nQmCC\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x117690c88>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"g = sns.FacetGrid(iris, hue=\"Name\", size=5) \\\n", | |
" .map(plt.scatter, \"SepalLength\", \"PetalLengthLog10\") \\\n", | |
" .add_legend()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"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": "3.5.2" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 1 | |
} |
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