def del_none(d): “”” Delete keys with the value “None“ in a dictionary, recursively. This alters the input so you may wish to “copy“ the dict first. “”” # For Python 3, write `list(d.items())`; `d.items()` won’t work # For Python 2, write `d.items()`; `d.iteritems()` won’t work for key, value in list(d.items()): if value is None: del … Read more
I’ve used this strategy in the past and been pretty happy with it: Encode your custom objects as JSON object literals (like Python dicts) with the following structure: { ‘__ClassName__’: { … } } That’s essentially a one-item dict whose single key is a special string that specifies what kind of object is encoded, and … Read more
Try f = opener.open(req) simplejson.load(f) without running f.read() first. When you run f.read(), the filehandle’s contents are slurped so there is nothing left when your call simplejson.load(f)
I would recommend EasyInstall, a package management application for Python. Once you’ve installed EasyInstall, you should be able to go to a command window and type: easy_install simplejson This may require putting easy_install.exe on your PATH first, I don’t remember if the EasyInstall setup does this for you (something like C:\Python25\Scripts).
Had a similar issues, it was caused by another custom module. I named another script json.py and it turns out it tried to load the custom json.py file as a module. dumps method is obviously not available there. Renaming the json.py script to something else (json2.py) got rid of the issue.
In order to keep dtype and dimension try this: import base64 import json import numpy as np class NumpyEncoder(json.JSONEncoder): def default(self, obj): “””If input object is an ndarray it will be converted into a dict holding dtype, shape and the data, base64 encoded. “”” if isinstance(obj, np.ndarray): if obj.flags[‘C_CONTIGUOUS’]: obj_data = obj.data else: cont_obj = … Read more
Thanks matthewatabet for the klein idea. I figured a way to implement it using BaseHTTPHandler. The code below. from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer import SocketServer import simplejson import random class S(BaseHTTPRequestHandler): def _set_headers(self): self.send_response(200) self.send_header(‘Content-type’, ‘text/html’) self.end_headers() def do_GET(self): self._set_headers() f = open(“index.html”, “r”) self.wfile.write(f.read()) def do_HEAD(self): self._set_headers() def do_POST(self): self._set_headers() print “in post method” … Read more
No it doesn’t work that way in json module. The module provides you with a default encoder: json.JSONEncoder. You need to extend this to provide your implementation of default method to serialize objects. Something like this: import json import datetime from time import mktime class MyEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, datetime.datetime): return int(mktime(obj.timetuple())) return … Read more
Python lists translate to JSON arrays. What it is giving you is a perfectly valid JSON string that could be used in a Javascript application. To get what you expected, you would need to use a dict: >>> json.dumps({‘apple’: ‘cat’, ‘banana’:’dog’, ‘pear’:’fish’}) ‘{“pear”: “fish”, “apple”: “cat”, “banana”: “dog”}’
If you want to iterate over both keys and values of the dictionary, do this: for key, value in data.items(): print(key, value)