{ "cells": [ { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "df_score = pd.read_csv(\"9-1_Sample.csv\",index_col=\"名前\")" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "df_corr = df_score.corr()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | 国語 | \n", "算数 | \n", "英語 | \n", "理科 | \n", "社会 | \n", "
---|---|---|---|---|---|
国語 | \n", "1.000000 | \n", "0.320452 | \n", "0.527235 | \n", "0.402017 | \n", "0.465048 | \n", "
算数 | \n", "0.320452 | \n", "1.000000 | \n", "0.094329 | \n", "0.589234 | \n", "0.344563 | \n", "
英語 | \n", "0.527235 | \n", "0.094329 | \n", "1.000000 | \n", "0.022948 | \n", "0.356136 | \n", "
理科 | \n", "0.402017 | \n", "0.589234 | \n", "0.022948 | \n", "1.000000 | \n", "0.509317 | \n", "
社会 | \n", "0.465048 | \n", "0.344563 | \n", "0.356136 | \n", "0.509317 | \n", "1.000000 | \n", "