{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "download dataset via Open Science Framework" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "df = pd.read_csv(\n", " 'https://osf.io/vcfa9/download',\n", " compression='xz',\n", ")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
SeriesMean Inter-Strain Fitness DifferentialFraction Inter-Strain Competitions WonInter-Strain Competition Null p-valueFlagged Advantageous SitesFlagged Deleterious SitesH_0 Advantageous Site FlagsH_0 Deleterious Site FlagsEstimated True Advantageous SitesEstimated True Deleterious Sites...Resource Receiving Cardinal FractionResource Receiving Cell FractionResource Reserve Request Cardinal FractionResource Reserve Request Cell FractionResource Send Request Cardinal FractionResource Send Request Cell FractionSpawn Arrest Cardinal FractionSpawn Arrest Cell FractionSpawn Request Cardinal FractionSpawn Request Cell Fraction
011000-0.0000250.450.8238031100.510.5110.49-0.51...0.0037600.0150400.4845760.7820750.2469310.5046040.0122010.0481890.3525940.707489
111001-0.0000330.501.0000001020.290.299.711.71...0.0035280.0141130.0135250.0529260.0138930.0546900.0136720.0541020.2953540.683916
211002-0.0002040.300.115318200.060.061.94-0.06...0.0025750.0103020.0135880.0539960.0128770.0515100.0103910.0412080.3260210.716874
3110030.0009370.950.0000401030.360.369.642.64...0.0017070.0068300.3196500.5574840.0135880.0532160.0157230.0614680.0759110.195788
411004-0.0001020.501.000000900.110.118.89-0.11...0.0027800.0111220.0125520.0479820.0132670.0514780.1081190.2535750.5437720.865269
..................................................................
75110350.0000370.700.1153181300.740.7412.26-0.74...0.0297640.1163960.0149930.0584930.0131460.0514030.0143280.0558350.4401770.745938
7611036-0.0001060.400.503445800.850.857.15-0.85...0.0360850.1395900.0731360.1562220.0130680.0507870.4869320.8942680.3908520.679537
7711037-0.0002050.100.0004021100.480.4810.52-0.48...0.0039100.0156390.2167310.5972260.0140160.0557690.0025080.0100320.2959580.651815
7811038-0.0000610.501.0000001010.430.439.570.57...0.0589180.2202500.9985450.9997090.0151300.0593540.9250070.9997090.9970900.999709
7911039-0.0000640.600.503445700.690.696.31-0.69...0.0016530.0066130.0193120.0754430.0133750.0526000.0981370.2221220.1061020.306583
\n", "

80 rows × 242 columns

\n", "
" ], "text/plain": [ " Series Mean Inter-Strain Fitness Differential \\\n", "0 11000 -0.000025 \n", "1 11001 -0.000033 \n", "2 11002 -0.000204 \n", "3 11003 0.000937 \n", "4 11004 -0.000102 \n", ".. ... ... \n", "75 11035 0.000037 \n", "76 11036 -0.000106 \n", "77 11037 -0.000205 \n", "78 11038 -0.000061 \n", "79 11039 -0.000064 \n", "\n", " Fraction Inter-Strain Competitions Won \\\n", "0 0.45 \n", "1 0.50 \n", "2 0.30 \n", "3 0.95 \n", "4 0.50 \n", ".. ... \n", "75 0.70 \n", "76 0.40 \n", "77 0.10 \n", "78 0.50 \n", "79 0.60 \n", "\n", " Inter-Strain Competition Null p-value Flagged Advantageous Sites \\\n", "0 0.823803 11 \n", "1 1.000000 10 \n", "2 0.115318 2 \n", "3 0.000040 10 \n", "4 1.000000 9 \n", ".. ... ... \n", "75 0.115318 13 \n", "76 0.503445 8 \n", "77 0.000402 11 \n", "78 1.000000 10 \n", "79 0.503445 7 \n", "\n", " Flagged Deleterious Sites H_0 Advantageous Site Flags \\\n", "0 0 0.51 \n", "1 2 0.29 \n", "2 0 0.06 \n", "3 3 0.36 \n", "4 0 0.11 \n", ".. ... ... \n", "75 0 0.74 \n", "76 0 0.85 \n", "77 0 0.48 \n", "78 1 0.43 \n", "79 0 0.69 \n", "\n", " H_0 Deleterious Site Flags Estimated True Advantageous Sites \\\n", "0 0.51 10.49 \n", "1 0.29 9.71 \n", "2 0.06 1.94 \n", "3 0.36 9.64 \n", "4 0.11 8.89 \n", ".. ... ... \n", "75 0.74 12.26 \n", "76 0.85 7.15 \n", "77 0.48 10.52 \n", "78 0.43 9.57 \n", "79 0.69 6.31 \n", "\n", " Estimated True Deleterious Sites ... \\\n", "0 -0.51 ... \n", "1 1.71 ... \n", "2 -0.06 ... \n", "3 2.64 ... \n", "4 -0.11 ... \n", ".. ... ... \n", "75 -0.74 ... \n", "76 -0.85 ... \n", "77 -0.48 ... \n", "78 0.57 ... \n", "79 -0.69 ... \n", "\n", " Resource Receiving Cardinal Fraction Resource Receiving Cell Fraction \\\n", "0 0.003760 0.015040 \n", "1 0.003528 0.014113 \n", "2 0.002575 0.010302 \n", "3 0.001707 0.006830 \n", "4 0.002780 0.011122 \n", ".. ... ... \n", "75 0.029764 0.116396 \n", "76 0.036085 0.139590 \n", "77 0.003910 0.015639 \n", "78 0.058918 0.220250 \n", "79 0.001653 0.006613 \n", "\n", " Resource Reserve Request Cardinal Fraction \\\n", "0 0.484576 \n", "1 0.013525 \n", "2 0.013588 \n", "3 0.319650 \n", "4 0.012552 \n", ".. ... \n", "75 0.014993 \n", "76 0.073136 \n", "77 0.216731 \n", "78 0.998545 \n", "79 0.019312 \n", "\n", " Resource Reserve Request Cell Fraction \\\n", "0 0.782075 \n", "1 0.052926 \n", "2 0.053996 \n", "3 0.557484 \n", "4 0.047982 \n", ".. ... \n", "75 0.058493 \n", "76 0.156222 \n", "77 0.597226 \n", "78 0.999709 \n", "79 0.075443 \n", "\n", " Resource Send Request Cardinal Fraction \\\n", "0 0.246931 \n", "1 0.013893 \n", "2 0.012877 \n", "3 0.013588 \n", "4 0.013267 \n", ".. ... \n", "75 0.013146 \n", "76 0.013068 \n", "77 0.014016 \n", "78 0.015130 \n", "79 0.013375 \n", "\n", " Resource Send Request Cell Fraction Spawn Arrest Cardinal Fraction \\\n", "0 0.504604 0.012201 \n", "1 0.054690 0.013672 \n", "2 0.051510 0.010391 \n", "3 0.053216 0.015723 \n", "4 0.051478 0.108119 \n", ".. ... ... \n", "75 0.051403 0.014328 \n", "76 0.050787 0.486932 \n", "77 0.055769 0.002508 \n", "78 0.059354 0.925007 \n", "79 0.052600 0.098137 \n", "\n", " Spawn Arrest Cell Fraction Spawn Request Cardinal Fraction \\\n", "0 0.048189 0.352594 \n", "1 0.054102 0.295354 \n", "2 0.041208 0.326021 \n", "3 0.061468 0.075911 \n", "4 0.253575 0.543772 \n", ".. ... ... \n", "75 0.055835 0.440177 \n", "76 0.894268 0.390852 \n", "77 0.010032 0.295958 \n", "78 0.999709 0.997090 \n", "79 0.222122 0.106102 \n", "\n", " Spawn Request Cell Fraction \n", "0 0.707489 \n", "1 0.683916 \n", "2 0.716874 \n", "3 0.195788 \n", "4 0.865269 \n", ".. ... \n", "75 0.745938 \n", "76 0.679537 \n", "77 0.651815 \n", "78 0.999709 \n", "79 0.306583 \n", "\n", "[80 rows x 242 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# run me to see a formatted preview of the dataset\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "add your own analyses below!" ] } ], "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": "3.8.16" } }, "nbformat": 4, "nbformat_minor": 4 }