【Python真的很强大】使用PIL合成图片

FragranceM

　　目前有如下需求，想用python生成一些图文并茂的图片，然后再与另外一个图片合并(合并风格:局顶，局底，局左，局右),具体就是合并一个饼型图和其注释内容（每份扇型图的名字，所占百分比等). 
　　原始图如下:
　　代码部分：

from PIL import Image, ImageDraw, ImageFont, ImageFilter

def perform(wordPosition="bottom"):
Img = Image.new("RGBA", pending_img_size,(255,255,255))
Draw = ImageDraw.ImageDraw(Img, "RGBA")
font_type="/usr/share/fonts/truetype/freefont/FreeMonoBold.ttf"
font_size = 16
line_words_image_space = 10
line_space = 5
font = ImageFont.truetype(font_type, font_size)
Draw.setfont(font)
allPendingElements=[{'word':u"binding (GO:0005488)", 'color':"#666666"},
{'word':u"catalytic activity (GO:0003824)", 'color':"#cc99cc"},
{'word':u"enzyme regulator activity (GO:0030234)",'color':"#33ccff"} ,
{'word':u"receptor activity (GO:0004872)",'color':"#009900"},
{'word':u"transporter activity (GO:0005215)",'color':"#99ff99"}]
if wordPosition == 'top':
startPoint = (0,0)
drawPos_y = startPoint[1]
for  element  in allPendingElements:
Draw.rectangle((0, drawPos_y, font_size, font_size  + drawPos_y), fill = element['color'])
Draw.text((font_size + line_words_image_space , drawPos_y ), element['word'], fill='black')
drawPos_y  += (line_space + font_size)
baseim = Image.open( "/tmp/chartProducer.jsp.png" )
baseim.resize((pending_img_size[0], pending_img_size[1]), Image.ANTIALIAS)
Img.paste(baseim, (0, drawPos_y) )
Img.save('/tmp/test.png','PNG')
elif wordPosition == 'bottom':
startPoint = (0,pending_img_size[0] + (line_space + font_size))
drawPos_y = startPoint[1]
for  element  in allPendingElements:
Draw.rectangle((0, drawPos_y, font_size, font_size  + drawPos_y), fill = element['color'])
Draw.text((font_size + line_words_image_space , drawPos_y ), element['word'], fill='black')
drawPos_y  += (line_space + font_size)
baseim = Image.open( "/tmp/chartProducer.jsp.png" )
baseim.resize((pending_img_size[0], pending_img_size[1]), Image.ANTIALIAS)
Img.paste(baseim, (0, 0) )
Img.save('/tmp/test.png','PNG')         
return Img
if __name__ == "__main__":
pending_img_size=(400,600)
perform("bottom").show()
　　合成后的图片: