Hi I’m working on a project with a colleague of mine but we stopped.
We can’t extract a single element of a JSON response.
We have to extrapolate the "mood" attribute from the code that I am attaching, thanks to all in advance:
{
u'operation_id': u'5526bd03b2e448ea8d2f3e96ae5ba88c',
u'photos': [
{
u'height': 280,
u'pid': u'F@01aa37a755638d436b6d527a18da96bc_ffc4e38fc72b2',
u'tags': [
{
u'attributes':
{
u'age_est':
{
u'confidence': 50,
u'value': u'27'
},
u'anger':
{
u'confidence': 0,
u'value': u'false'
},
u'beard':
{
u'confidence': 91,
u'value': u'true'
},
u'dark_glasses':
{
u'confidence': 48,
u'value': u'false'
},
u'disgust':
{
u'confidence': 0,
u'value': u'false'
},
u'ethnicity':
{
u'asian':
{
u'confidence': 7,
u'value': u'false'
},
u'black':
{
u'confidence': 2,
u'value': u'false'
},
u'hispanic':
{
u'confidence': 3,
u'value': u'false'
},
u'indian':
{
u'confidence': 3,
u'value': u'false'
},
u'white':
{
u'confidence': 85,
u'value': u'true'
}
},
u'eyes':
{
u'confidence': 30,
u'value': u'open'
},
u'face':
{
u'confidence': 95,
u'value': u'true'
},
u'fear':
{
u'confidence': 0,
u'value': u'false'
},
u'gender':
{
u'confidence': 83,
u'value': u'male'
},
u'glasses':
{
u'confidence': 26,
u'value': u'false'
},
u'happiness':
{
u'confidence': 100,
u'value': u'true'
},
u'hat':
{
u'confidence': 29,
u'value': u'false'
},
u'lips':
{
u'confidence': 53,
u'value': u'parted'
},
u'liveness':
{
u'confidence': 66,
u'value': u'true'
},
u'mood':
{
u'confidence': 100,
u'value': u'happy'
},
u'neutral_mood':
{
u'confidence': 0,
u'value': u'false'
},
u'sadness':
{
u'confidence': 0,
u'value': u'false'
},
u'smiling':
{
u'confidence': 84,
u'value': u'true'
},
u'surprise':
{
u'confidence': 0,
u'value': u'false'
}
},
u'center':
{
u'x': 40.15,
u'y': 38.93
},
u'confirmed': False,
u'eye_left':
{
u'confidence': 98,
u'id': 449,
u'x': 44.89,
u'y': 34.29
},
u'eye_right':
{
u'confidence': 98,
u'id': 450,
u'x': 36.16,
u'y': 33.93
},
u'height': 39.64,
u'label': None,
u'manual': False,
u'mouth_center':
{
u'confidence': 91,
u'id': 615,
u'x': 41.15,
u'y': 47.14
},
u'nose':
{
u'confidence': 99,
u'id': 403,
u'x': 41.4,
u'y': 40.71
},
u'pitch': -3,
u'points': None,
u'recognizable': True,
u'similarities': None,
u'tid': u'TEMP_F@01aa37a755638d436b6d527a00a1006d_ffc4e38fc72b2_40.15_38.93_0_1',
u'uids': [],
u'width': 19.7,
u'yaw': -4
}],
u'url': u'http://api.skybiometry.com/fc/images/get?id=bmN2X3hybD1xd3RhY2FvcXJnYzFpMXdkMjIwNGZ4YXB6dCZuY3ZfZnJwZXJnPXZiM3liOXIyOXlmZ25lNjB0bjdvdzlycHRvJmVxPTI3NTMmY3ZxPXNzcDRyMzhzcDcybzImZ3Z6cmZnbnpjPTIwMjExMjE1MTUxNjMz',
u'width': 401
}], u'status': u'success', u'usage':
{
u'limit': 100,
u'remaining': 80,
u'reset_time': 1639553771,
u'reset_time_text': u'Wed, 15 December 2021 07:36:11 +0000',
u'used': 20
}
}
>Solution :
Pretty-printing your data makes it a lot easier to analyze. Once you do that, as in my edit above, you’ll see that you can access "mood" via data["photos"][0]["tags"][0]["attributes"]["mood"], assuming your dict is named data.
You need the numeric list indices because both "photos" and "tags" are lists containing a single element – a dict.