Just define these functions and call getImage().
Here is a more user-friendly answer that still uses streaming. The result for testRequest: 343080 function calls (343068 primitive calls) in 2.580 secondsĪnd the result for testRequest2: 3129 function calls (3105 primitive calls) in 0.024 seconds Here is the code of my profiler and the result. This much more reduced the number of function calls, thus speeded up my application. I then tried the way recommended by the author of requests module: import requests But when I did a profile on this simple function, I found that it uses so many function calls compared to urllib and urllib2. I first tried the answer of Martijn Pieters, and it works well. I have the same need for downloading images using requests. We also set stream=True so that requests doesn't download the whole image into memory first. Note that you need to open the destination file in binary mode to ensure python doesn't try and translate newlines for you. This'll read the data in 128 byte chunks if you feel another chunk size works better, use the er_content() method with a custom chunk size: r = requests.get(settings.STATICMAP_URL.format(**data), stream=True) To iterate over the response use a loop iterating like this ensures that data is decompressed by this stage: r = requests.get(settings.STATICMAP_URL.format(**data), stream=True) R = requests.get(settings.STATICMAP_URL.format(**data), stream=True) You can then use pyfileobj() to have Python stream the data to a file object: import requests
You can force it to decompress for you anyway by setting the decode_content attribute to True ( requests sets it to False to control decoding itself). To use the response.raw file-like object will not, by default, decode compressed responses (with GZIP or deflate). You can either use the response.raw file object, or iterate over the response.
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