Pythonで世界地図-16（画像を貼り付け）

参考
Basemap tutorial
http://basemaptutorial.readthedocs.io/en/latest/backgrounds.html#warpimage

![image.png](https://qiita-image-store.s3.amazonaws.com/0/238800/9b359be2-89c8-6cb2-ef56-f738c6a51acc.png)

地図が古いので、港の部分を埋め立てました。

```python:
#!/usr/bin/python3
# coding: UTF-8

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt

font = {'family':'IPAGothic'} #日本語Fontを指定
fig = plt.figure()

lon1 = 135.1427 #地図中心
lat1 = 34.2044
lon2 = 0.015 #地図の大きさ（片側）
lat2 = 0.015

map = Basemap(llcrnrlon=lon1-lon2,llcrnrlat=lat1-lat2,urcrnrlon=lon1+lon2,urcrnrlat=lat1+lat2,resolution='f',projection='cyl')

map.drawcoastlines() #海岸線

#港埋め立て部海岸線
x1=[135.149775,135.150064,135.150075,135.145504,135.145547,135.145268,135.145301,135.14544,135.145408,135.145279,135.145204,135.14352,135.141331,135.144485,135.144442,135.139893,135.140108,135.134765,135.134808,135.140129,135.140322,135.144281,135.144324,135.144829,135.144593,135.144324,135.144281,135.144517,135.14426,135.143359,135.143305,135.144131,135.144088,135.144206,135.144153,135.146]
y1=[34.195036,34.195400,34.200241,34.200578,34.198874,34.198874,34.198967,34.198976,34.200458,34.200502,34.202783,34.202801,34.209029,34.210218,34.212108,34.212082,34.213182,34.214326,34.214397,34.213262,34.214309,34.214868,34.214717,34.214797,34.215977,34.215968,34.216358,34.216376,34.217449,34.217103,34.217183,34.217511,34.217653,34.217707,34.218088,34.2187]

x2,y2=map(x1,y1)
plt.plot(x2, y2, linewidth = 1, color = 'black', linestyle = '-')

x3=[135.147167,135.145429,135.14529,135.145161,135.145236,135.142726,135.142254,135.145075,135.144732,135.141309,135.137243,135.133402,135.131621,135.131514,135.133241,135.139464,135.139421]
y3=[34.194459,34.195782,34.196261,34.196252,34.195755,34.195134,34.196403,34.197139,34.198568,34.202117,34.20107,34.211869,34.21335,34.213271,34.211798,34.194335,34.1934]

x4,y4=map(x3,y3)
plt.plot(x4, y4, linewidth = 1, color = 'black', linestyle = '-')

#護衛艦「いずも」イメージ貼り付け
x00, y00 = map(135.141865, 34.203586) #IMG左下
x01, y01 = map(135.142451, 34.206226) #IMG右上

plt.imshow(plt.imread('./izumo.png'),  extent = (x00, x01, y00, y01))
plt.text(135.143412, 34.203812, " " + "護衛艦「いずも」", fontsize=12, color='red', **font)

x10=135.146481 #和歌山港駅
y10=34.217272
map.plot(x10, y10, 'ro', markersize=3)
plt.text(x10, y10, " " + "和歌山港駅", fontsize=12, color='red', **font)

plt.title('2018年7月15日（日）護衛艦「いずも」\n和歌山下津港・西浜第３岸壁で一般公開', **font,fontsize=15)

plt.show()
```

![image.png](https://qiita-image-store.s3.amazonaws.com/0/238800/8f738bed-508c-d30c-fcbc-b22d3d7eba2d.png)

#####画像を回転する
参考
Matplotlib rotate image file by X degrees
https://stackoverflow.com/questions/31401812/matplotlib-rotate-image-file-by-x-degrees

matplotlib.pyplot.imshow　ドキュメント
https://matplotlib.org/api/_as_gen/matplotlib.pyplot.imshow.html

回転する方法がわかったのですが、画像を表示するplt.imshow(plt.imread('./izumo.png'),  extent = (x00, x01, y00, y01))
extentの座標の指示が、画像の左下と右上を指示するため、少しややこしいです。

回転なし

```python:
x00, y00 = map(135.141865, 34.203586) #IMG左下
x01, y01 = map(135.142451, 34.206226) #IMG右上

plt.imshow(plt.imread('./izumo.png'),  extent = (x00, x01, y00, y01))
```

![image.png](https://qiita-image-store.s3.amazonaws.com/0/238800/1214adfd-6221-dfdd-9789-eca3c56fd3ed.png)


回転なしと同じ座標のままで回転させる

```python:
from scipy import ndimage #画像回転

x00, y00 = map(135.141865, 34.203586) #IMG左下
x01, y01 = map(135.142451, 34.206226) #IMG右上

img = plt.imread('./izumo.png')
rotated_img = ndimage.rotate(img, 45)
plt.imshow(rotated_img,  extent = (x00, x01, y00, y01))
```

![image.png](https://qiita-image-store.s3.amazonaws.com/0/238800/746eb2bf-0e3f-c6d1-2b7e-f058afddaf3e.png)



45度回転

```python:
from scipy import ndimage #画像回転

x00, y00 = map(135.141865, 34.203586) #IMG左下
x01, y01 = map(135.1441052, 34.20582616) #IMG右上

img = plt.imread('./izumo.png')
rotated_img = ndimage.rotate(img, 45)
plt.imshow(rotated_img,  extent = (x00, x01, y00, y01))
```

![image.png](https://qiita-image-store.s3.amazonaws.com/0/238800/7327bf20-1ea7-0a26-e99d-f10be0e69134.png)

![image.png](https://qiita-image-store.s3.amazonaws.com/0/238800/3064bc30-fd69-0607-e5f6-a5166fde1857.png)

Xy01とxy00の差だけではなく、画像の全長も同じにするには、座標の調整が必要です。

もっと他に良い関数・ライブラリがあるかも知れないです。