comparison notebooks/sensitivity_experiment.ipynb @ 60:402f43d5b7ad branch-tests

sensitivity notebook added correlation
author mpanteli <m.x.panteli@gmail.com>
date Thu, 21 Sep 2017 15:25:07 +0100
parents 444041185ba9
children b0e194bfb71d
comparison
equal deleted inserted replaced
59:444041185ba9 60:402f43d5b7ad
1 { 1 {
2 "cells": [ 2 "cells": [
3 { 3 {
4 "cell_type": "code", 4 "cell_type": "code",
5 "execution_count": 20, 5 "execution_count": 1,
6 "metadata": {}, 6 "metadata": {},
7 "outputs": [ 7 "outputs": [
8 { 8 {
9 "name": "stdout", 9 "name": "stderr",
10 "output_type": "stream", 10 "output_type": "stream",
11 "text": [ 11 "text": [
12 "The autoreload extension is already loaded. To reload it, use:\n", 12 "/homes/mp305/anaconda/lib/python2.7/site-packages/librosa/core/audio.py:33: UserWarning: Could not import scikits.samplerate. Falling back to scipy.signal\n",
13 " %reload_ext autoreload\n" 13 " warnings.warn('Could not import scikits.samplerate. '\n"
14 ] 14 ]
15 } 15 }
16 ], 16 ],
17 "source": [ 17 "source": [
18 "import numpy as np\n", 18 "import numpy as np\n",
4937 ] 4937 ]
4938 }, 4938 },
4939 { 4939 {
4940 "cell_type": "code", 4940 "cell_type": "code",
4941 "execution_count": 45, 4941 "execution_count": 45,
4942 "metadata": {}, 4942 "metadata": {
4943 "collapsed": true
4944 },
4943 "outputs": [], 4945 "outputs": [],
4944 "source": [ 4946 "source": [
4945 "ranked_countries = pd.DataFrame()\n", 4947 "ranked_countries = pd.DataFrame()\n",
4946 "ranked_outliers = pd.DataFrame()\n", 4948 "ranked_outliers = pd.DataFrame()\n",
4947 "for n in range(n_iters):\n", 4949 "for n in range(n_iters):\n",
5118 ] 5120 ]
5119 }, 5121 },
5120 { 5122 {
5121 "cell_type": "code", 5123 "cell_type": "code",
5122 "execution_count": 56, 5124 "execution_count": 56,
5123 "metadata": {}, 5125 "metadata": {
5126 "collapsed": true
5127 },
5124 "outputs": [], 5128 "outputs": [],
5125 "source": [ 5129 "source": [
5126 "from scipy.stats import spearmanr\n", 5130 "from scipy.stats import spearmanr\n",
5127 "r, p = spearmanr(ranked_countries)" 5131 "r, p = spearmanr(ranked_countries)"
5128 ] 5132 ]