RKuttruff commented on PR #185:
URL:
https://github.com/apache/incubator-sdap-nexus/pull/185#issuecomment-1211551329
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Input In [3], in <cell line: 22>()
20 start_time = datetime(2015, 11, 1)
21 end_time = datetime(2015, 11, 30)
---> 22 ts = nexuscli.time_series(datasets, bbox, start_time, end_time,
spark=True)
24 print("Time Series took {} seconds to
generate".format(time.perf_counter() - start))
26 # Plot the resulting time series using the helper method show_plot
File
/opt/conda/lib/python3.10/site-packages/nexuscli-1.0-py3.10.egg/nexuscli/nexuscli.py:212,
in time_series(datasets, bounding_box, start_datetime, end_datetime, spark)
206 time_series_data = np.array([tuple(each.values()) for each in
[entry for entry in data if entry['ds'] == i]])
208 if len(time_series_data) > 0:
209 time_series_result.append(
210 TimeSeries(
211 dataset=response['meta'][i]['shortName'],
--> 212
time=np.array([datetime.utcfromtimestamp(t).replace(tzinfo=UTC) for t in
213 time_series_data[:,
key_to_index['time']]]),
214 mean=time_series_data[:, key_to_index['mean']],
215 standard_deviation=time_series_data[:,
key_to_index['std']],
216 count=time_series_data[:, key_to_index['cnt']],
217 minimum=time_series_data[:, key_to_index['min']],
218 maximum=time_series_data[:, key_to_index['max']],
219 )
220 )
222 return time_series_result
File
/opt/conda/lib/python3.10/site-packages/nexuscli-1.0-py3.10.egg/nexuscli/nexuscli.py:212,
in <listcomp>(.0)
206 time_series_data = np.array([tuple(each.values()) for each in
[entry for entry in data if entry['ds'] == i]])
208 if len(time_series_data) > 0:
209 time_series_result.append(
210 TimeSeries(
211 dataset=response['meta'][i]['shortName'],
--> 212
time=np.array([datetime.utcfromtimestamp(t).replace(tzinfo=UTC) for t in
213 time_series_data[:,
key_to_index['time']]]),
214 mean=time_series_data[:, key_to_index['mean']],
215 standard_deviation=time_series_data[:,
key_to_index['std']],
216 count=time_series_data[:, key_to_index['cnt']],
217 minimum=time_series_data[:, key_to_index['min']],
218 maximum=time_series_data[:, key_to_index['max']],
219 )
220 )
222 return time_series_result
TypeError: 'numpy.str_' object cannot be interpreted as an integer```
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