{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Updated CSV saved as 'meta.csv'.\n" ] } ], "source": [ "import pandas as pd\n", "\n", "# Load the CSV file into a pandas DataFrame\n", "df = pd.read_csv(\"meta_old.csv\")\n", "\n", "# Append '.wav' to the audio_path column\n", "df[\"audio_path\"] = \"wavs/\" + df[\"audio_path\"]\n", "\n", "# Save the updated DataFrame back to a CSV\n", "df.to_csv(\"meta.csv\", index=False)\n", "\n", "print(\"Updated CSV saved as 'meta.csv'.\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "dev", "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": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 2 }