Pythonデータ分析入門編11:テーブルのマージ

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "531a1da9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "problems = pd.read_csv(\"csv/problems.csv\")\n",
    "submissions = pd.read_csv(\"csv/submissions.csv\")\n",
    "\n",
    "problems.columns = [\"problem_name\", \"rank\", \"difficulty\"]\n",
    "submissions.columns = [\"problem_name\", \"bytes\", \"score\", \"language\", \"time\"]\n",
    "submissions = submissions.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "45e7b4e1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "531a1da9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "problems = pd.read_csv(\"csv/problems.csv\")\n",
    "submissions = pd.read_csv(\"csv/submissions.csv\")\n",
    "\n",
    "problems.columns = [\"problem_name\", \"rank\", \"difficulty\"]\n",
    "submissions.columns = [\"problem_name\", \"bytes\", \"score\", \"language\", \"time\"]\n",
    "submissions = submissions.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "45e7b4e1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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演習1

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演習課題「提出データに難易度の列を追加」

右のコードエリアではスキルチェックの問題データと提出データが読み込まれています。problemsから"problem_name"列と"difficulty"列のみを抜き出したものを、"problem_name"列をキーとしてsubmissionsへとマージし、それを"problem_name"列の値でソートしたものを表示してください。採点の前にはすべてのセルを実行し、ノートブックを保存してください。

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詳しい説明を読む

＃04:テーブルのマージ

このチャプターでは、読み込んだふたつのテーブルを関連づけ、わかりやすく整理します。

データの読み込みと前処理

import pandas as pd
import seaborn as sns


problems = pd.read_csv("csv/data_problems.csv")
submissions = pd.read_csv("csv/data_submissions.csv")

problems.columns = ["problem_name", "rank", "difficulty"]
submissions.columns = ["problem_name", "bytes", "score", "language", "time"]
submissions = submissions.dropna()

マージするデータの抽出

prob_rank = problems.loc[:, ["problem_name", "rank"]]
prob_rank

テーブルのマージとソート

submissions_with_rank = pd.merge(submissions, prob_rank).sort_values(by=["rank", "problem_name"])  # この行の.sort_values以下を追記
submissions_with_rank

プログラミング学習 > Python3 > Pythonデータ分析入門編 > Pythonデータ分析入門編11: データ分析の実践 > テーブルのマージ