{ "cells": [ { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "\n", "df = pd.read_csv(\"responses_clean.csv\", sep=\"|\")\n", "\n", "labels = [\"Very Low\", \"Low\", \"Mid\", \"High\", \"Very High\"]\n", "\n", "df['SalaryUSD'] = pd.qcut(df['SalaryUSD'], q = 5, labels=labels)\n", "\n", "df.to_csv(\"responses_discretized.csv\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python (default)", "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": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 4 }