{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "8916125c-4ee3-4410-97c3-2a2e3d31c840", "metadata": {}, "outputs": [], "source": [ "#code to convert .csv timing files to bids-compatible .tsv event files\n", "\n", "#import packages\n", "import pandas as pd\n", "import numpy as np\n", "import os\n", "import glob" ] }, { "cell_type": "code", "execution_count": 2, "id": "93645de2-edf4-4263-ba6b-b8be1f144d6b", "metadata": {}, "outputs": [], "source": [ "#set path to all csvs in dir\n", "path='/cbica/projects/wolf_satterthwaite_reward/Margaret/Day2/curation/code/Day2MG_GitHub/'" ] }, { "cell_type": "code", "execution_count": 3, "id": "66b14649-4690-4d59-83a0-503a4084350b", "metadata": {}, "outputs": [], "source": [ "for fname in glob.glob(path+'*.csv'):\n", " df=pd.read_csv(fname)\n", " file=fname.partition(\".\")[0]\n", " with open(file+'.tsv','w') as write_tsv:\n", " write_tsv.write(df.to_csv(sep='\\t', index=False)) " ] }, { "cell_type": "code", "execution_count": null, "id": "795ca885-76f6-4893-aa56-4461b694140c", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.8.11" } }, "nbformat": 4, "nbformat_minor": 5 }