{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# example of a corrplot\n", "\n", "[Biokit](https://github.com/biokit/biokit) proposes nice graphs for correlation: [corrplot function in Python](http://thomas-cokelaer.info/blog/2014/10/corrplot-function-in-python/) but it only works with Python 2.7. I took the code out and put a modified version of in [pyensae](http://www.xavierdupre.fr/app/pyensae/helpsphinx/)."]}, {"cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": ["%matplotlib inline"]}, {"cell_type": "code", "execution_count": 2, "metadata": {"collapsed": true}, "outputs": [], "source": ["import pyensae\n", "import matplotlib.pyplot as plt\n", "plt.style.use('ggplot')"]}, {"cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [{"data": {"text/html": ["
\n", " | A | \n", "B | \n", "C | \n", "D | \n", "E | \n", "F | \n", "G | \n", "H | \n", "I | \n", "J | \n", "
---|---|---|---|---|---|---|---|---|---|---|
0 | \n", "0.887637 | \n", "1.486102 | \n", "2.415496 | \n", "3.781093 | \n", "4.493253 | \n", "5.084982 | \n", "6.484193 | \n", "7.650366 | \n", "8.774344 | \n", "9.898334 | \n", "
1 | \n", "0.104720 | \n", "1.779278 | \n", "2.466874 | \n", "3.189288 | \n", "4.148460 | \n", "5.127938 | \n", "6.668241 | \n", "7.770889 | \n", "8.394404 | \n", "9.206735 | \n", "
2 | \n", "0.735222 | \n", "1.593792 | \n", "2.734176 | \n", "3.739522 | \n", "4.554242 | \n", "5.513305 | \n", "6.451066 | \n", "7.477368 | \n", "8.063440 | \n", "9.937340 | \n", "
3 | \n", "0.505974 | \n", "1.119941 | \n", "2.033909 | \n", "3.945594 | \n", "4.514602 | \n", "5.271045 | \n", "6.764156 | \n", "7.095581 | \n", "8.254990 | \n", "9.599061 | \n", "
4 | \n", "0.563323 | \n", "1.001843 | \n", "2.603700 | \n", "3.199254 | \n", "4.968366 | \n", "5.720844 | \n", "6.015494 | \n", "7.629919 | \n", "8.932106 | \n", "9.229564 | \n", "