Python 日本の都道府県の緯度経度データフレーム

日本の都道府県の緯度経度詰め合わせセットです。
GA(遺伝的アルゴリズム)の巡回セールスマン問題のネタにでもしてください。
3人くらいのお役に立てば満足します。

```python:nogood.py
#都道府県のラベル
Prefectures_name = np.array(["北海道","青森県","岩手県","宮城県","秋田県",
                             "山形県","福島県","茨城県","栃木県","群馬県",
                             "埼玉県","千葉県","東京都","神奈川県","新潟県",
                             "富山県","石川県","福井県","山梨県","長野県",
                             "岐阜県","静岡県","愛知県","三重県","滋賀県",
                             "京都府","大阪府","兵庫県","奈良県","和歌山県",
                             "鳥取県","島根県","岡山県","広島県","山口県",
                             "徳島県","香川県","愛媛県","高知県","福岡県",
                             "佐賀県","長崎県","熊本県","大分県","宮崎県","鹿児島県","沖縄県"])
#経度x(沖縄県を0地点に変換)
Prefectures_x = np.array([13.666967,13.059661,13.471735,13.191171,12.421402,
                          12.682702,12.786589,12.765861,12.202633,11.379224,
                          11.968001,12.442376,12.010772,11.961582,11.342289,
                          9.530406,8.944641,8.54071,10.887517,10.500292,
                          9.041359,10.702122,9.225633,8.827659,8.187658,
                          8.074676,7.838779,7.502093,8.151812,7.486574,
                          6.55674,5.369567,6.253743,4.77869,3.789568,
                          6.878371,6.362512,5.08443,5.850148,2.737382,
                          2.61789,2.192824,3.060735,3.931659,3.742923,2.877049,0])
#緯度y(沖縄県を0地点に変換)
Prefectures_y = np.array([16.851567,14.612222,13.49113,12.056438,13.506199,
                          12.028036,11.537898,10.129412,10.353324,10.178807,
                          9.645027,9.392657,9.47712,9.235352,11.690017,
                          10.482889,10.382281,9.852818,9.451757,10.438888,
                          9.178826,8.764577,8.967787,8.517882,8.79213,
                          8.808603,8.473915,8.478878,8.472932,8.013633,
                          9.291468,9.259896,8.449371,8.184159,7.97372,
                          7.853369,8.127748,7.629259,7.347304,7.394384,
                          7.036966,6.532438,6.577427,7.025793,5.698689,5.347747,0])

#経度x
Prefectures_x = np.array([141.347899,140.740593,141.152667,140.872103,140.102334,
                          140.363634,140.467521,140.446793,139.883565,139.060156,
                          139.648933,140.123308,139.691704,139.642514,139.023221,
                          137.211338,136.625573,136.221642,138.568449,138.181224,
                          136.722291,138.383054,136.906565,136.508591,135.86859,
                          135.755608,135.519711,135.183025,135.832744,135.167506,
                          134.237672,133.050499,133.934675,132.459622,131.4705,
                          134.559303,134.043444,132.765362,133.53108,130.418314,
                          130.298822,129.873756,130.741667,131.612591,131.423855,130.557981,127.680932])
#緯度y
Prefectures_y = np.array([43.063968,40.824623,39.703531,38.268839,39.7186,
                          38.240437,37.750299,36.341813,36.565725,36.391208,
                          35.857428,35.605058,35.689521,35.447753,37.902418,
                          36.69529,36.594682,36.065219,35.664158,36.651289,
                          35.391227,34.976978,35.180188,34.730283,35.004531,
                          35.021004,34.686316,34.691279,34.685333,34.226034,
                          35.503869,35.472297,34.661772,34.39656,34.186121,
                          34.06577,34.340149,33.84166,33.559705,33.606785,
                          33.249367,32.744839,32.789828,33.238194,31.91109,31.560148,26.212401])

```

![Question.png](https://qiita-image-store.s3.ap-northeast-1.amazonaws.com/0/203445/f8298133-bc1e-7347-10a4-12ff74cfd020.png)

![Viconout.gif](https://qiita-image-store.s3.ap-northeast-1.amazonaws.com/0/203445/3f840d04-f70b-2754-f8b7-88bdb232e7f9.gif)



こちらのデータを参考にさせていただきました。
[都道府県名と県庁所在地の緯度経度配列](https://qiita.com/yasuman/items/bfd385424fe58f8bfab6)