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I get the following error when I run flightextract.py on my data:
bson.errors.InvalidDocument: cannot encode object: 379, of type: <class 'numpy.int64'>
My data looks just like your sample dataset, except larger. When I run flightextract.py on your data, I don't get any errors.
The full error log that I get when I run it on my data is:
[1] Querying database.
[2] 1133 number of valid ICAOs.
[3][0-50 of 1133] ICAOs beening processed.
[a] fetching records
flightextract.py:59: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.
ids = dfchunk['icao'].as_matrix()
flightextract.py:60: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.
lats = dfchunk['lat'].as_matrix()
flightextract.py:61: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.
lons = dfchunk['lon'].as_matrix()
flightextract.py:62: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.
alts = dfchunk['alt'].as_matrix()
flightextract.py:63: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.
spds = dfchunk['spd'].as_matrix()
flightextract.py:64: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.
hdgs = dfchunk['hdg'].as_matrix()
flightextract.py:65: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.
rocs = dfchunk['roc'].as_matrix()
flightextract.py:66: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.
times = dfchunk['ts'].as_matrix()
[b] data scaling
/anaconda3/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by MinMaxScaler.
warnings.warn(msg, DataConversionWarning)
[c] creating machine learning dataset.
[d] start clustering, and saving results to DB
* processing . Traceback (most recent call last):
File "flightextract.py", line 140, in <module>
('roc', c[:, 6].tolist()),
File "/anaconda3/lib/python3.6/site-packages/pymongo/collection.py", line 700, in insert_one
session=session),
File "/anaconda3/lib/python3.6/site-packages/pymongo/collection.py", line 614, in _insert
bypass_doc_val, session)
File "/anaconda3/lib/python3.6/site-packages/pymongo/collection.py", line 602, in _insert_one
acknowledged, _insert_command, session)
File "/anaconda3/lib/python3.6/site-packages/pymongo/mongo_client.py", line 1280, in _retryable_write
return self._retry_with_session(retryable, func, s, None)
File "/anaconda3/lib/python3.6/site-packages/pymongo/mongo_client.py", line 1233, in _retry_with_session
return func(session, sock_info, retryable)
File "/anaconda3/lib/python3.6/site-packages/pymongo/collection.py", line 597, in _insert_command
retryable_write=retryable_write)
File "/anaconda3/lib/python3.6/site-packages/pymongo/pool.py", line 589, in command
self._raise_connection_failure(error)
File "/anaconda3/lib/python3.6/site-packages/pymongo/pool.py", line 750, in _raise_connection_failure
raise error
File "/anaconda3/lib/python3.6/site-packages/pymongo/pool.py", line 584, in command
user_fields=user_fields)
File "/anaconda3/lib/python3.6/site-packages/pymongo/network.py", line 121, in command
codec_options, ctx=compression_ctx)
File "/anaconda3/lib/python3.6/site-packages/pymongo/message.py", line 678, in _op_msg
flags, command, identifier, docs, check_keys, opts)
bson.errors.InvalidDocument: cannot encode object: 288, of type: <class 'numpy.int64'>
I wonder whether this error might be related to the ts variable?
The text was updated successfully, but these errors were encountered:
I get the following error when I run
flightextract.py
on my data:bson.errors.InvalidDocument: cannot encode object: 379, of type: <class 'numpy.int64'>
My data looks just like your sample dataset, except larger. When I run
flightextract.py
on your data, I don't get any errors.The full error log that I get when I run it on my data is:
I wonder whether this error might be related to the
ts
variable?The text was updated successfully, but these errors were encountered: