slight data corruption in week: 11 Feb to 17 Feb?

[yestiseye]

Using the web_api.load_data() function I'm getting a crash as follows:

BIOMASS 2019-02-11 00:00:00 2019-02-18 00:00:00
index: 2016
Traceback (most recent call last):
  File "/usr/lib/python3/dist-packages/pandas/core/internals.py", line 4249, in create_block_manager_from_blocks
    mgr = BlockManager(blocks, axes)
  File "/usr/lib/python3/dist-packages/pandas/core/internals.py", line 2761, in __init__
    self._verify_integrity()
  File "/usr/lib/python3/dist-packages/pandas/core/internals.py", line 2971, in _verify_integrity
    construction_error(tot_items, block.shape[1:], self.axes)
  File "/usr/lib/python3/dist-packages/pandas/core/internals.py", line 4233, in construction_error
    passed, implied))
ValueError: Shape of passed values is (1, 2015), indices imply (1, 2016)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "./getit.py", line 7, in <module>
    df_5, df_30 = web_api.load_data(d1 = datetime.datetime(2019,2,14), d2 = datetime.datetime(2019,2,15), region='qld1')
  File "/home/dozu/whtr/data/opennempy/web_api.py", line 28, in load_data
    frame_list = [series for series in historical_week(d1=d1,d2=d2,region=region)]
  File "/home/dozu/whtr/data/opennempy/web_api.py", line 28, in <listcomp>
    frame_list = [series for series in historical_week(d1=d1,d2=d2,region=region)]
  File "/home/dozu/whtr/data/opennempy/web_api.py", line 23, in historical_week
    yield load_week(dt_i, region=region)
  File "/home/dozu/whtr/data/opennempy/web_api.py", line 61, in load_week
    df = download_week(dt_start, region=region)
  File "/home/dozu/whtr/data/opennempy/web_api.py", line 70, in download_week
    return 	merge_series(r)
  File "/home/dozu/whtr/data/opennempy/web_api.py", line 74, in merge_series
    df = pd.concat([json_to_pd(data_set) for data_set in data_sets(r)], axis=1)	
  File "/home/dozu/whtr/data/opennempy/web_api.py", line 74, in <listcomp>
    df = pd.concat([json_to_pd(data_set) for data_set in data_sets(r)], axis=1)	
  File "/home/dozu/whtr/data/opennempy/web_api.py", line 147, in json_to_pd
    return pd.DataFrame(index=index, data = series['data'], columns=[name])
  File "/usr/lib/python3/dist-packages/pandas/core/frame.py", line 321, in __init__
    copy=copy)
  File "/usr/lib/python3/dist-packages/pandas/core/frame.py", line 474, in _init_ndarray
    return create_block_manager_from_blocks([values], [columns, index])
  File "/usr/lib/python3/dist-packages/pandas/core/internals.py", line 4256, in create_block_manager_from_blocks
    construction_error(tot_items, blocks[0].shape[1:], axes, e)
  File "/usr/lib/python3/dist-packages/pandas/core/internals.py", line 4233, in construction_error
    passed, implied))
ValueError: Shape of passed values is (1, 2015), indices imply (1, 2016)

So potentially the data is short a single column? Similar issues with NSW, SA, and Tasmanian data.