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PYTHON : TypeError: Object of type ‘float32’ is not JSON serializable
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PYTHON : TypeError: Object of type ‘float32’ is not JSON serializable
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#PYTHON:TypeError:Objectoftypefloat32isnotJSONserializable #PYTHON #: #TypeError: #Object #of #type #’float32′ #is #not #JSON #serializable #
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TypeError: Object of type ‘float32’ is not JSON serializable
It has to be a string, so you can have: json.dumps(str(a)). EDIT: JSON is a format for serialising object data. It doesn’t really care or …
Source: stackoverflow.com
Date Published: 5/7/2021
View: 2892
TypeError: Object of type float32 is not JSON serializable
The Python “TypeError: Object of type float32 is not JSON serializable” occurs when we try to convert a numpy float32 object to a JSON string.
Source: bobbyhadz.com
Date Published: 2/20/2022
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numpy.float64 is JSON serializable but numpy.float32 is not
As it turned out the change removed an implicit type conversion. This led to the realization that the JSON module in Python can’t serialize NumPy 32-bit floats.
Source: ellisvalentiner.com
Date Published: 4/6/2022
View: 3099
There should be a default serializer for the type of float32 …
Flask/jsonify() can serilize the type of float64 but not float32. … TypeError: Object of type float32 is not JSON serializable …
Source: github.com
Date Published: 5/14/2022
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Object of type ‘float32’ is not JSON serializable [duplicate]
import numpy as npimport jsona = np.float32(1)json.dumps(a)TypeError: Object of type ‘float32’ is not JSON serializable.
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Date Published: 8/24/2022
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Object of type ‘float32’ is not JSON serializable解决方案
TypeError: Object of type ‘float32’ is not JSON serializable解决方案. python3. 这个报错一般是使用 json.dumps 时遇到的，其实就是 …
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Date Published: 4/24/2021
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주제와 관련된 이미지 object of type float32 is not json serializable
주제와 관련된 더 많은 사진을 참조하십시오 PYTHON : TypeError: Object of type ‘float32’ is not JSON serializable. 댓글에서 더 많은 관련 이미지를 보거나 필요한 경우 더 많은 관련 기사를 볼 수 있습니다.
주제에 대한 기사 평가 object of type float32 is not json serializable
- Author: How to Fix Your Computer
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- Date Published: 2021. 12. 8.
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TypeError: Object of type ‘float32’ is not JSON serializable
It has to be a string, so you can have:
json.dumps(str(a))
EDIT:
JSON is a format for serialising object data. It doesn’t really care or know about Python types, the json package tries to translate whatever object you pass json.dumps() into a string form via a conversion table that only supports some types (see doc below).
This is the reason why I think it’s a good idea to just pass a string to avoid this issue: numpy.float32 just isn’t in the table.
Because some have commented that explicitly passing a string to dumps “sounds wrong” I’ll just add the doc here
json.dumps(obj, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw) Serialize obj to a JSON formatted str using this conversion table. The arguments have the same meaning as in dump(). Note Keys in key/value pairs of JSON are always of the type str. When a dictionary is converted into JSON, all the keys of the dictionary are coerced to strings. As a result of this, if a dictionary is converted into JSON and then back into a dictionary, the dictionary may not equal the original one. That is, loads(dumps(x)) != x if x has non-string keys.
taken from the official docs here: https://docs.python.org/3/library/json.html
TypeError: Object of type float32 is not JSON serializable
TypeError: Object of type float32 is not JSON serializable
TypeError: Object of type float32 is not JSON serializable #
The Python “TypeError: Object of type float32 is not JSON serializable” occurs when we try to convert a numpy float32 object to a JSON string. To solve the error, convert the numpy float to a Python float before converting it to JSON, e.g. float(my_numpy_float) .
Here is an example of how the error occurs.
main.py Copied! import json import numpy as np salary = np . power ( 100 , 2.75 , dtype = np . float32 ) json_str = json . dumps ( { ‘salary’ : salary } )
We tried passing a numpy float32 object to the json.dumps() method but the method doesn’t handle numpy floats by default.
To solve the error, use the built-in float() (or str() ) constructor to convert the numpy float to a native Python float before serializing it.
main.py Copied! import json import numpy as np salary = np . power ( 100 , 2.75 , dtype = np . float32 ) print ( salary ) json_str = json . dumps ( { ‘salary’ : float ( salary ) } ) print ( json_str ) print ( type ( json_str ) )
We used the built-in float() constructor to convert the numpy float32 value to a native Python float.
Note that if you are worried about losing precision, you can use the str() constructor to convert the value to a string instead.
The default JSON encoder handles float and str values, so we can use a native Python float instead of a numpy float32 when serializing to JSON.
The json.dumps method converts a Python object to a JSON formatted string.
Alternatively, you can extend from the JSONEncoder class and handle the conversions in a default method.
main.py Copied! import json import numpy as np class NpEncoder ( json . JSONEncoder ) : def default ( self , obj ) : if isinstance ( obj , np . integer ) : return int ( obj ) if isinstance ( obj , np . floating ) : return float ( obj ) if isinstance ( obj , np . ndarray ) : return obj . tolist ( ) return json . JSONEncoder . default ( self , obj ) salary = np . power ( 100 , 2.75 , dtype = np . float32 ) json_str = json . dumps ( { ‘salary’ : salary } , cls = NpEncoder ) print ( json_str ) print ( type ( json_str ) )
We extended from the JSONEncoder class.
The JSONEncoder class supports the following objects and types by default.
Python JSON dict object list, tuple array str string int, float, int and float derived Enums number True true False false None null
Notice that the JSONEncoder class doesn’t support numpy float32 to JSON conversion by default.
We can handle this by extending from the class and implementing a default() method that returns a serializable object.
main.py Copied! import json import numpy as np class NpEncoder ( json . JSONEncoder ) : def default ( self , obj ) : if isinstance ( obj , np . integer ) : return int ( obj ) if isinstance ( obj , np . floating ) : return float ( obj ) if isinstance ( obj , np . ndarray ) : return obj . tolist ( ) return json . JSONEncoder . default ( self , obj )
If the passed in object is an instance of np.integer , we convert the object to a Python int and return the result.
If the passed in object is an instance of np.floating , we convert it to a Python float and return the result.
Note that you can use the str() constructor instead of float() if you worry about losing precision.
If the object is an instance of np.ndarray , we convert it to a Python list and return the result.
In all other cases, we let the base classes’ default method do the serialization.
To use a custom JSONEncoder , specify it with the cls keyword argument in your call to the json.dumps() method.
main.py Copied! import json import numpy as np class NpEncoder ( json . JSONEncoder ) : def default ( self , obj ) : if isinstance ( obj , np . integer ) : return int ( obj ) if isinstance ( obj , np . floating ) : return float ( obj ) if isinstance ( obj , np . ndarray ) : return obj . tolist ( ) return json . JSONEncoder . default ( self , obj ) salary = np . power ( 100 , 2.75 , dtype = np . float32 ) json_str = json . dumps ( { ‘salary’ : salary } , cls = NpEncoder ) print ( json_str ) print ( type ( json_str ) )
numpy.float64 is JSON serializable but numpy.float32 is not · Ellis Valentiner
Update (2018-08-10)
I’ve written a newer, better post about how to serialize numpy.float32 to JSON. It also covers how to serialize other data types. I recommend reading that post instead.
Earlier this week I made a small modification which promptly broke the code I was working on. The change was so minor that it was very difficult to see why the changes would cause it to fail. As it turned out the change removed an implicit type conversion.
This led to the realization that the JSON module in Python can’t serialize NumPy 32-bit floats.
import numpy as np import json # This works fine json.dumps({‘pi’: np.float64(3.1415)}) # so does this json.dumps({‘pi’: 1.*np.float32(3.1415)}) # but this throws a TypeError json.dumps({‘pi’: np.float32(3.1415)})
This can be important because by default NumPy aggregate functions (e.g. numpy.mean ) will return the same dtype as the input dtype (if the input is float). So if you want to calculate the mean of an array of 32-bit floats and encode the result as JSON you can expect this to fail. Multiplication implicitly converts the 32-bit float to 64-bit.
This seemingly esoteric distinction is actually pertinent to a number of applications. Images are often encoded with 32-bit color depth meaning each pixel is represented by 32-bits with 8-bits per channel (RGBA).
There should be a default serializer for the type of float32 defined. · Issue #18994 · numpy/numpy
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PYTHON #: #TypeError: #Object #of #type #’float32′ #is #not #JSON #serializable
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