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def expandJson(df, colName): | |
jsonString = df.iloc[0][colName] | |
decoded = json.loads(jsonString) | |
attrs = decoded.keys() | |
fld = df[colName] | |
for attr in attrs: df[attr] = json.loads(fld)[attr] |
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--------------------------------------------------------------------------- | |
TypeError Traceback (most recent call last) | |
<ipython-input-19-bbe1cebc251e> in <module> | |
8 for attr in attrs: df[attr] = json.loads(fld) | |
9 | |
---> 10 expandJson(df_raw,"totals") | |
<ipython-input-19-bbe1cebc251e> in expandJson(df, colName) | |
6 attrs = decoded.keys() | |
7 fld = df[colName] | |
----> 8 for attr in attrs: df[attr] = json.loads(fld) | |
9 | |
10 expandJson(df_raw,"totals") | |
~/anaconda2/envs/fastai/lib/python3.6/json/__init__.py in loads(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw) | |
346 if not isinstance(s, (bytes, bytearray)): | |
347 raise TypeError('the JSON object must be str, bytes or bytearray, ' | |
--> 348 'not {!r}'.format(s.__class__.__name__)) | |
349 s = s.decode(detect_encoding(s), 'surrogatepass') | |
350 | |
TypeError: the JSON object must be str, bytes or bytearray, not 'Series' |
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