{ "cells": [ { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "#----------------------------------------------------\n", "# include this cell in your notebook\n", "#----------------------------------------------------\n", "import os\n", "import numpy as np\n", "import scipy as sp\n", "import matplotlib.pyplot as plt\n", "import wave\n", "from scipy import stats\n", "from numpy import genfromtxt\n", "cpath = '/home/idies/workspace/AS_171_205/data/'" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[ 8.0102 -1.2142 ]\n", " [ 6.1503 -0.84082]\n", " [ 9.1811 -1.2245 ]\n", " [ 7.2298 -1.2071 ]\n", " [ 5.9551 -0.93701]\n", " [10.073 -1.192 ]\n", " [ 9.6316 -0.75911]\n", " [ 7.3511 -0.75947]\n", " [ 7.8573 -0.81654]\n", " [ 7.6093 -1.1601 ]\n", " [ 4.9542 -0.85424]\n", " [ 5.6087 -0.93884]\n", " [ 6.7965 -0.66622]\n", " [ 5.1134 -0.86061]\n", " [ 9.4102 -0.7698 ]\n", " [ 4.8634 -0.97772]\n", " [ 5.0815 -0.99057]\n", " [ 4.695 -0.75481]\n", " [ 5.0937 -1.1999 ]\n", " [ 6.5499 -1.1701 ]\n", " [ 5.6777 -1.146 ]\n", " [ 9.9637 -1.0154 ]\n", " [ 6.5115 -0.75117]\n", " [ 4.7937 -0.76798]\n", " [ 9.8342 -1.2137 ]\n", " [10.358 -1.0104 ]\n", " [ 6.5721 -0.93387]\n", " [ 4.2778 -0.99992]\n", " [ 5.3065 -0.85588]\n", " [ 6.361 -0.87322]\n", " [ 7.6643 -1.0748 ]\n", " [ 5.3355 -0.99101]\n", " [ 7.7199 -1.2407 ]\n", " [ 8.4785 -0.65956]\n", " [ 5.0522 -1.1497 ]\n", " [ 4.3219 -1.1863 ]\n", " [ 5.5767 -1.0266 ]\n", " [ 5.7314 -1.1311 ]\n", " [ 6.4692 -0.95619]\n", " [ 7.055 -1.0463 ]\n", " [ 4.0986 -0.67902]\n", " [ 5.3374 -0.6978 ]\n", " [ 9.1071 -1.2184 ]\n", " [ 3.7045 -0.80729]\n", " [10.002 -1.0885 ]\n", " [ 8.6123 -0.9963 ]\n", " [ 6.9203 -0.92128]\n", " [ 7.5497 -0.68436]\n", " [ 5.161 -0.99935]\n", " [ 6.7119 -0.66017]\n", " [10.242 -1.0691 ]\n", " [ 7.3276 -0.82934]\n", " [ 7.148 -0.8502 ]\n", " [ 5.1212 -0.92652]\n", " [ 6.9223 -0.83114]\n", " [ 7.8684 -0.85008]\n", " [ 8.2539 -1.1431 ]\n", " [ 6.2686 -1.1732 ]\n", " [ 6.0721 -0.65055]\n", " [10.416 -1.1473 ]\n", " [ 3.7642 -1.2304 ]\n", " [ 9.6962 -0.91328]\n", " [ 9.893 -0.72088]\n", " [ 9.0733 -0.84849]\n", " [ 4.191 -1.1357 ]\n", " [ 5.3331 -1.0287 ]\n", " [ 5.8475 -0.97356]\n", " [ 8.2581 -0.66102]\n", " [ 4.4559 -1.1562 ]\n", " [ 8.5486 -0.73669]\n", " [ 4.2473 -0.86314]\n", " [ 8.0763 -1.0242 ]\n", " [ 6.9592 -1.1354 ]\n", " [ 8.9534 -0.99305]\n", " [ 8.5053 -0.96079]\n", " [ 9.826 -1.1776 ]\n", " [ 9.7365 -0.8963 ]\n", " [ 5.8391 -1.1143 ]\n", " [ 8.3912 -1.0192 ]\n", " [ 4.8847 -0.90021]\n", " [ 3.7138 -1.0989 ]\n", " [ 8.7085 -1.0757 ]\n", " [ 7.0002 -0.87975]\n", " [ 6.8595 -1.0908 ]\n", " [ 9.8331 -0.75537]\n", " [ 7.7691 -0.6604 ]\n", " [ 7.8237 -0.81185]\n", " [ 9.5161 -1.0437 ]\n", " [ 9.1384 -0.89956]\n", " [ 7.5371 -1.1853 ]\n", " [ 4.7805 -0.70622]\n", " [ 5.1795 -0.72221]\n", " [ 9.7056 -0.75934]\n", " [ 3.7007 -1.0936 ]\n", " [ 6.9293 -0.89339]\n", " [ 4.6755 -1.2365 ]\n", " [10.351 -0.99484]\n", " [ 8.4889 -1.0624 ]\n", " [ 7.0033 -1.1531 ]\n", " [ 6.7976 -1.1427 ]]\n" ] } ], "source": [ "#----------------------------------------------------------\n", "# this will read in a csv file from the class data folder\n", "#----------------------------------------------------------\n", "c = genfromtxt(cpath+'bfit.csv', delimiter=',')\n", "print(c)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.8 (py38)", "language": "python", "name": "py38" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 4 }