我试图使用python的请求模块从网络下载并保存一张图像。
下面是我使用的(工作)代码:
img = urllib2.urlopen(settings.STATICMAP_URL.format(**data))
with open(path, 'w') as f:
f.write(img.read())
下面是使用请求的新(无效)代码:
r = requests.get(settings.STATICMAP_URL.format(**data))
if r.status_code == 200:
img = r.raw.read()
with open(path, 'w') as f:
f.write(img)
你能帮我从请求中使用响应的什么属性吗?
当前回答
我同样需要使用请求下载图像。我首先尝试了Martijn Pieters的答案，效果很好。但是当我对这个简单的函数做了一个概要时，我发现与urllib和urllib2相比，它使用了太多的函数调用。
然后我尝试了请求模块作者推荐的方法:
import requests
from PIL import Image
# python2.x, use this instead
# from StringIO import StringIO
# for python3.x,
from io import StringIO
r = requests.get('https://example.com/image.jpg')
i = Image.open(StringIO(r.content))
这大大减少了函数调用的数量，从而加快了我的应用程序的速度。 下面是我的分析器的代码和结果。
#!/usr/bin/python
import requests
from StringIO import StringIO
from PIL import Image
import profile
def testRequest():
image_name = 'test1.jpg'
url = 'http://example.com/image.jpg'
r = requests.get(url, stream=True)
with open(image_name, 'wb') as f:
for chunk in r.iter_content():
f.write(chunk)
def testRequest2():
image_name = 'test2.jpg'
url = 'http://example.com/image.jpg'
r = requests.get(url)
i = Image.open(StringIO(r.content))
i.save(image_name)
if __name__ == '__main__':
profile.run('testUrllib()')
profile.run('testUrllib2()')
profile.run('testRequest()')
testRequest的结果:
343080 function calls (343068 primitive calls) in 2.580 seconds
和testRequest2的结果:
3129 function calls (3105 primitive calls) in 0.024 seconds
其他回答
我的方法是使用回应。内容(blob)并以二进制模式保存到文件中
img_blob = requests.get(url, timeout=5).content
with open(destination + '/' + title, 'wb') as img_file:
img_file.write(img_blob)
看看我的python项目，根据关键字从unsplash.com下载图像。
下载图像
import requests
Picture_request = requests.get(url)
主要有两种方式:
Using .content (simplest/official) (see Zhenyi Zhang's answer): import io # Note: io.BytesIO is StringIO.StringIO on Python2. import requests r = requests.get('http://lorempixel.com/400/200') r.raise_for_status() with io.BytesIO(r.content) as f: with Image.open(f) as img: img.show() Using .raw (see Martijn Pieters's answer): import requests r = requests.get('http://lorempixel.com/400/200', stream=True) r.raise_for_status() r.raw.decode_content = True # Required to decompress gzip/deflate compressed responses. with PIL.Image.open(r.raw) as img: img.show() r.close() # Safety when stream=True ensure the connection is released.
计时两者无明显差异。
如导入图像和请求一样简单
from PIL import Image
import requests
img = Image.open(requests.get(url, stream = True).raw)
img.save('img1.jpg')
从请求中获取一个类似文件的对象，并将其复制到文件中。这也将避免将整个内容一次性读入内存。
import shutil
import requests
url = 'http://example.com/img.png'
response = requests.get(url, stream=True)
with open('img.png', 'wb') as out_file:
shutil.copyfileobj(response.raw, out_file)
del response
