Handle invalid fieldnames when parsing python dict to matlab via struct
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I am trying to convert a python dict to a Matlab struct like so:
pyClass = py.someClass.someSubClass();
data = x.someFunction();
data = struct(data);
This usually works fine, however, Matlab throws the following error:
Error using py.dict/struct
Invalid field name "yyy/xxx"
I know that Matlab requires the following three conditions for fieldnames to be valid:
start with a letter, otherwise assigning to that field will error
contain only letters, numbers, and/or the underscore character, otherwise assigning to that field will error,
and must be no longer than namelengthmax (currently 63) characters, otherwise you will receive a warning and the field name will be truncated
Does anyone know how I can handle this error - i.e. have a small python function that I can call from within Matlab to remove invalid characters?
Here is a snippet of what the python dict looks like (in this case the "/" is the issue):
data =
Python dict with no properties.
{'BTC/USD': {'fee_loaded': False, 'percentage': True, 'tierBased': True, 'maker': 0.001, 'taker': 0.002, 'tiers': {'taker': [[0, 0.002], ...
Thanks in advance!
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Plus de réponses (1)
Steven Lord
le 8 Mai 2018
0 votes
If you can get a list of the names in your dict object that you want to be the fieldnames in the MATLAB struct array, pass them through matlab.lang.makeValidName.
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Martin Ryba
le 1 Sep 2024
Modifié(e) : Martin Ryba
le 1 Sep 2024
So, it would be very handy if there was flag to the struct() function to do this. I can't use the JSON hack as dumps() is erroring on "Object of type MaskedArray is not JSON serializable". Is there a sample script as to how we extract the names from the dict, clean them up, and then pass the right pieces into struct()? Otherwise, I'm stuck.
Follow-up: I found I could use the dict object's get() method to retrieve just the keys I wanted and avoid the unwanted one with the bad name:
dat = radar.fields.get('reflectivity'); % Retrieve reflectivity from dict of dicts
data = double(dat.get('data')); % Pull the data and convert numpy MaskedArray to double
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