I am trying to set the python json library up in order to save to file a dictionary having as elements other dictionaries. There are many float numbers and I wo
You can dump your object to a string using json.dumps and then use the technique shown on this post to find and round your floating point numbers.
To test it out, I added some more complicated nested structures on top of the example you provided::
d = dict()
d['val'] = 5.78686876876089075543
d['name'] = 'kjbkjbkj'
d["mylist"] = [1.23456789, 12, 1.23, {"foo": "a", "bar": 9.87654321}]
d["mydict"] = {"bar": "b", "foo": 1.92837465}
# dump the object to a string
d_string = json.dumps(d, indent=4)
# find numbers with 8 or more digits after the decimal point
pat = re.compile(r"\d+\.\d{8,}")
def mround(match):
return "{:.7f}".format(float(match.group()))
# write the modified string to a file
with open('test.json', 'w') as f:
f.write(re.sub(pat, mround, d_string))
The output test.json looks like:
{
"val": 5.7868688,
"name": "kjbkjbkj",
"mylist": [
1.2345679,
12,
1.23,
{
"foo": "a",
"bar": 9.8765432
}
],
"mydict": {
"bar": "b",
"foo": 1.9283747
}
}
One limitation of this method is that it will also match numbers that are within double quotes (floats represented as strings). You could come up with a more restrictive regex to handle this, depending on your needs.
json.JSONEncoderHere is something that will work on your example and handle most of the edge cases you will encounter:
import json
class MyCustomEncoder(json.JSONEncoder):
def iterencode(self, obj):
if isinstance(obj, float):
yield format(obj, '.7f')
elif isinstance(obj, dict):
last_index = len(obj) - 1
yield '{'
i = 0
for key, value in obj.items():
yield '"' + key + '": '
for chunk in MyCustomEncoder.iterencode(self, value):
yield chunk
if i != last_index:
yield ", "
i+=1
yield '}'
elif isinstance(obj, list):
last_index = len(obj) - 1
yield "["
for i, o in enumerate(obj):
for chunk in MyCustomEncoder.iterencode(self, o):
yield chunk
if i != last_index:
yield ", "
yield "]"
else:
for chunk in json.JSONEncoder.iterencode(self, obj):
yield chunk
Now write the file using the custom encoder.
with open('test.json', 'w') as f:
json.dump(d, f, cls = MyCustomEncoder)
The output file test.json:
{"val": 5.7868688, "name": "kjbkjbkj", "mylist": [1.2345679, 12, 1.2300000, {"foo": "a", "bar": 9.8765432}], "mydict": {"bar": "b", "foo": 1.9283747}}
In order to get other keyword arguments like indent to work, the easiest way would be to read in the file that was just written and write it back out using the default encoder:
# write d using custom encoder
with open('test.json', 'w') as f:
json.dump(d, f, cls = MyCustomEncoder)
# load output into new_d
with open('test.json', 'r') as f:
new_d = json.load(f)
# write new_d out using default encoder
with open('test.json', 'w') as f:
json.dump(new_d, f, indent=4)
Now the output file is the same as shown in option 1.
Doesn't answer this question, but for the decoding side, you could do something like this, or override the hook method.
To solve this problem with this method though would require encoding, decoding, then encoding again, which is overly convoluted and no longer the best choice. I assumed Encode had all the bells and whistles Decode did, my mistake.
# d = dict()
class Round7FloatEncoder(json.JSONEncoder):
def iterencode(self, obj):
if isinstance(obj, float):
yield format(obj, '.7f')
with open('test.json', 'w') as f:
json.dump(d, f, cls=Round7FloatEncoder)
Here's something that you may be able to use that's based on my answer to the question:
Write two-dimensional list to JSON file.
I say may because it requires "wrapping" all the float values in the Python dictionary (or list) before JSON encoding it with dump().
(Tested with Python 3.7.2.)
from _ctypes import PyObj_FromPtr
import json
import re
class FloatWrapper(object):
""" Float value wrapper. """
def __init__(self, value):
self.value = value
class MyEncoder(json.JSONEncoder):
FORMAT_SPEC = '@@{}@@'
regex = re.compile(FORMAT_SPEC.format(r'(\d+)')) # regex: r'@@(\d+)@@'
def default(self, obj):
return (self.FORMAT_SPEC.format(id(obj)) if isinstance(obj, FloatWrapper)
else super(MyEncoder, self).default(obj))
def iterencode(self, obj, **kwargs):
for encoded in super(MyEncoder, self).iterencode(obj, **kwargs):
# Check for marked-up float values (FloatWrapper instances).
match = self.regex.search(encoded)
if match: # Get FloatWrapper instance.
id = int(match.group(1))
float_wrapper = PyObj_FromPtr(id)
json_obj_repr = '%.7f' % float_wrapper.value # Create alt repr.
encoded = encoded.replace(
'"{}"'.format(self.FORMAT_SPEC.format(id)), json_obj_repr)
yield encoded
d = dict()
d['val'] = FloatWrapper(5.78686876876089075543) # Must wrap float values.
d['name'] = 'kjbkjbkj'
with open('float_test.json', 'w') as file:
json.dump(d, file, cls=MyEncoder, indent=4)
Contents of file created:
{
"val": 5.7868688,
"name": "kjbkjbkj"
}
Update:
As I mentioned, the above requires all the float values to be wrapped before calling json.dump(). Fortunately doing that could be automated by adding and using the following (minimally tested) utility:
def wrap_type(obj, kind, wrapper):
""" Recursively wrap instances of type kind in dictionary and list
objects.
"""
if isinstance(obj, dict):
new_dict = {}
for key, value in obj.items():
if not isinstance(value, (dict, list)):
new_dict[key] = wrapper(value) if isinstance(value, kind) else value
else:
new_dict[key] = wrap_type(value, kind, wrapper)
return new_dict
elif isinstance(obj, list):
new_list = []
for value in obj:
if not isinstance(value, (dict, list)):
new_list.append(wrapper(value) if isinstance(value, kind) else value)
else:
new_list.append(wrap_type(value, kind, wrapper))
return new_list
else:
return obj
d = dict()
d['val'] = 5.78686876876089075543
d['name'] = 'kjbkjbkj'
with open('float_test.json', 'w') as file:
json.dump(wrap_type(d, float, FloatWrapper), file, cls=MyEncoder, indent=4)