Created
May 21, 2017 03:45
-
-
Save RenSys/3ba243a4e3d92f19ea861895de8c4111 to your computer and use it in GitHub Desktop.
Scipy - stats zscore
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"cells": [ | |
{ | |
"metadata": {}, | |
"cell_type": "markdown", | |
"source": "# Z Score\nA z-score (aka, a standard score) indicates how many standard deviations an element is from the mean. A z-score can be calculated from the following formula. z = (X - μ) / σ where z is the z-score, X is the value of the element, μ is the population mean, and σ is the standard deviation." | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": true | |
}, | |
"cell_type": "code", | |
"source": "from scipy import stats\nfrom IPython.display import Image\nfrom IPython.core.display import HTML ", | |
"execution_count": 49, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": true | |
}, | |
"cell_type": "code", | |
"source": "import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\n%matplotlib inline", | |
"execution_count": 20, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": false | |
}, | |
"cell_type": "code", | |
"source": "import seaborn as sns\nsns.set_context('talk')\n", | |
"execution_count": 27, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": true | |
}, | |
"cell_type": "code", | |
"source": "sns.set_style('whitegrid')", | |
"execution_count": 28, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": false | |
}, | |
"cell_type": "code", | |
"source": "Image(url= 'https://upload.wikimedia.org/wikipedia/commons/b/bb/Normal_distribution_and_scales.gif',\n width=600)", | |
"execution_count": 55, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"text/html": "<img src=\"https://upload.wikimedia.org/wikipedia/commons/b/bb/Normal_distribution_and_scales.gif\" width=\"600\"/>", | |
"text/plain": "<IPython.core.display.Image object>" | |
}, | |
"metadata": {}, | |
"execution_count": 55 | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": true | |
}, | |
"cell_type": "code", | |
"source": "rand_ser = pd.Series(np.random.randn(10000))", | |
"execution_count": 41, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": false | |
}, | |
"cell_type": "code", | |
"source": "sns.distplot(rand_ser)", | |
"execution_count": 42, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7f76acd4f390>" | |
}, | |
"metadata": {}, | |
"execution_count": 42 | |
}, | |
{ | |
"output_type": "stream", | |
"text": "/home/karl/anaconda2/envs/py36-test/lib/python3.6/site-packages/matplotlib/font_manager.py:1297: UserWarning: findfont: Font family ['sans-serif'] not found. Falling back to DejaVu Sans\n (prop.get_family(), self.defaultFamily[fontext]))\n", | |
"name": "stderr" | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAngAAAGpCAYAAAAeHUstAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", | |
"text/plain": "<matplotlib.figure.Figure at 0x7f76acfd9e10>" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": false, | |
"scrolled": true | |
}, | |
"cell_type": "code", | |
"source": "sns.distplot(stats.zscore(rand_ser))", | |
"execution_count": 43, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7f76acbc6cc0>" | |
}, | |
"metadata": {}, | |
"execution_count": 43 | |
}, | |
{ | |
"output_type": "stream", | |
"text": "/home/karl/anaconda2/envs/py36-test/lib/python3.6/site-packages/matplotlib/font_manager.py:1297: UserWarning: findfont: Font family ['sans-serif'] not found. Falling back to DejaVu Sans\n (prop.get_family(), self.defaultFamily[fontext]))\n", | |
"name": "stderr" | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAngAAAGpCAYAAAAeHUstAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nPCGEEEKICCMBTwghhBAiwvx/QJ2LkPTUd4YAAAAASUVORK5CYII=\n", | |
"text/plain": "<matplotlib.figure.Figure at 0x7f76acb81630>" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": true | |
}, | |
"cell_type": "code", | |
"source": "rand_df = pd.DataFrame({'rand': rand_ser, 'zscore': stats.zscore(rand_ser)})", | |
"execution_count": 44, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": false | |
}, | |
"cell_type": "code", | |
"source": "rand_df.sort_values(by='zscore', ascending=False)\nrand_df['zscore'].round(0).value_counts()", | |
"execution_count": 45, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"text/plain": "-0.0 3789\n-1.0 2457\n 1.0 2439\n-2.0 600\n 2.0 589\n-3.0 65\n 3.0 56\n 4.0 3\n-4.0 1\n 5.0 1\nName: zscore, dtype: int64" | |
}, | |
"metadata": {}, | |
"execution_count": 45 | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": true | |
}, | |
"cell_type": "code", | |
"source": "", | |
"execution_count": null, | |
"outputs": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"name": "py36-test", | |
"display_name": "py36-test", | |
"language": "python" | |
}, | |
"language_info": { | |
"mimetype": "text/x-python", | |
"nbconvert_exporter": "python", | |
"name": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.6.1", | |
"file_extension": ".py", | |
"codemirror_mode": { | |
"version": 3, | |
"name": "ipython" | |
} | |
}, | |
"gist": { | |
"id": "", | |
"data": { | |
"description": "Scipy - stats zscore", | |
"public": true | |
} | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment