csala
commented
4 years ago Hi @Haris-uni thanks for all the details.
I did several trials and I'm not able to reproduce the error :-(
Would you mind pasting (or attaching) the output of the following command?
pip freezeAlso, from the paths in the traceback it seems to me that you installed sdv systemwide, not within a virtualenv. If so, would you mind creating a virtualenv and installing sdv within it?
Haris-uni
Description
Describe what you were trying to get done. Tell us what happened, what went wrong, and what you expected to happen.
Description: I was trying to just execute the 'Quick Usage' with Demo data from PAR model. which is described in SDV module under userguide --> time series data --> Models. I have given the complete code below. It did not executed and given the following error.
What I Did
##########the Script what I did is given here####################### from sdv.demo import load_timeseries_demo from sdv.timeseries import PAR
data = load_timeseries_demo()
print(data)
data.head() entity_columns = ['Symbol']
context_columns = ['MarketCap', 'Sector', 'Industry']
sequence_index = 'Date'
model = PAR(entity_columns=entity_columns, context_columns=context_columns, sequence_index=sequence_index, )
model.fit(data)
model.save('my_model.pkl')
Encountered error here
Traceback (most recent call last): File "/tmp/pycharm_project_988/sdv_module_trial_demo.py", line 18, in
model.fit(data)
File "/usr/local/lib/python3.7/dist-packages/sdv/timeseries/base.py", line 193, in fit
self._metadata.fit(timeseries_data)
File "/usr/local/lib/python3.7/dist-packages/sdv/metadata/table.py", line 487, in fit
self._fit_hyper_transformer(constrained, extra_columns)
File "/usr/local/lib/python3.7/dist-packages/sdv/metadata/table.py", line 385, in _fit_hyper_transformer
self._hyper_transformer.fit(data[list(dtypes.keys())])
File "/usr/local/lib/python3.7/dist-packages/pandas/core/frame.py", line 2908, in getitem
indexer = self.loc._get_listlike_indexer(key, axis=1, raise_missing=True)[1]
File "/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py", line 1254, in _get_listlike_indexer
self._validate_read_indexer(keyarr, indexer, axis, raise_missing=raise_missing)
File "/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py", line 1293, in _validate_read_indexer
missing = (missing_mask).sum()
File "/usr/local/lib/python3.7/dist-packages/numpy/core/_methods.py", line 47, in _sum
return umr_sum(a, axis, dtype, out, keepdims, initial, where)
TypeError: int() argument must be a string, a bytes-like object or a number, not '_NoValueType'
Process finished with exit code 1
Thanks in advance