{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "new_data = pd.read_csv(\"sudoku-3m.csv\")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | id | \n", "puzzle | \n", "solution | \n", "clues | \n", "difficulty | \n", "
---|---|---|---|---|---|
0 | \n", "1 | \n", "1..5.37..6.3..8.9......98...1.......8761......... | \n", "1985437266432785915276198439147352688761924352... | \n", "27 | \n", "2.2 | \n", "
1 | \n", "2 | \n", "...81.....2........1.9..7...7..25.934.2.......... | \n", "9348172567286534196159427381764258934523981673... | \n", "23 | \n", "0.0 | \n", "
2 | \n", "3 | \n", "..5...74.3..6...19.....1..5...7...2.9....58..7... | \n", "2159837463876542194692713855387169249413258677... | \n", "25 | \n", "2.6 | \n", "
3 | \n", "4 | \n", "........5.2...9....9..2...373..481.....36....5... | \n", "4738169256285397411954278637329481569413652785... | \n", "26 | \n", "1.4 | \n", "
4 | \n", "5 | \n", ".4.1..............653.....1.8.9..74...24..91..... | \n", "9471536821286493576532874913819267455724389164... | \n", "25 | \n", "1.1 | \n", "