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~/.pyenv/versions/3.7.4/lib/python3.7/site-packages/pandas/core/frame.py in _init_dict(self, data, index, columns, dtype)
457 arrays = [data[k] for k in keys]
458
--> 459 return _arrays_to_mgr(arrays, data_names, index, columns, dtype=dtype)
460
461 def _init_ndarray(self, values, index, columns, dtype=None, copy=False):
~/.pyenv/versions/3.7.4/lib/python3.7/site-packages/pandas/core/frame.py in _arrays_to_mgr(arrays, arr_names, index, columns, dtype)
7354 # figure out the index, if necessary
7355 if index is None:
-> 7356 index = extract_index(arrays)
7357
7358 # don't force copy because getting jammed in an ndarray anyway
~/.pyenv/versions/3.7.4/lib/python3.7/site-packages/pandas/core/frame.py in extract_index(data)
7400 lengths = list(set(raw_lengths))
7401 if len(lengths) > 1:
-> 7402 raise ValueError('arrays must all be same length')
7403
7404 if have_dicts:
ValueError: arrays must all be same length
The text was updated successfully, but these errors were encountered:
This works when ignore_badsignalwarning=False but the signal length shrinks by the number of bad readings in the signal.
bvp_vec = bvp_in.iloc[:,0]
filtered = hp.filter_signal(bvp_vec, [0.7, 3.5], sample_rate=bvp_smplrt, order=3, filtertype='bandpass')
wd, m = hp.process_segmentwise(filtered, sample_rate = bvp_smplrt, segment_width = 60, segment_overlap = 0, replace_outliers=True, mode='full', ignore_badsignalwarning=True)
bvp = pd.DataFrame(data=m, index=None)
ValueError Traceback (most recent call last)
in
2 #ts, filtered, onsets, heart_rate_ts, heart_rate = bvp(signal=bvp_flt, sampling_rate=bvp_smplrt, show=True)
3 wd, m = hp.process_segmentwise(filtered, sample_rate = bvp_smplrt, segment_width = 60, segment_overlap = 0, replace_outliers=True, mode='full', ignore_badsignalwarning=True)
----> 4 bvp = pd.DataFrame(data=m, index=None)
~/.pyenv/versions/3.7.4/lib/python3.7/site-packages/pandas/core/frame.py in init(self, data, index, columns, dtype, copy)
346 dtype=dtype, copy=copy)
347 elif isinstance(data, dict):
--> 348 mgr = self._init_dict(data, index, columns, dtype=dtype)
349 elif isinstance(data, ma.MaskedArray):
350 import numpy.ma.mrecords as mrecords
~/.pyenv/versions/3.7.4/lib/python3.7/site-packages/pandas/core/frame.py in _init_dict(self, data, index, columns, dtype)
457 arrays = [data[k] for k in keys]
458
--> 459 return _arrays_to_mgr(arrays, data_names, index, columns, dtype=dtype)
460
461 def _init_ndarray(self, values, index, columns, dtype=None, copy=False):
~/.pyenv/versions/3.7.4/lib/python3.7/site-packages/pandas/core/frame.py in _arrays_to_mgr(arrays, arr_names, index, columns, dtype)
7354 # figure out the index, if necessary
7355 if index is None:
-> 7356 index = extract_index(arrays)
7357
7358 # don't force copy because getting jammed in an ndarray anyway
~/.pyenv/versions/3.7.4/lib/python3.7/site-packages/pandas/core/frame.py in extract_index(data)
7400 lengths = list(set(raw_lengths))
7401 if len(lengths) > 1:
-> 7402 raise ValueError('arrays must all be same length')
7403
7404 if have_dicts:
ValueError: arrays must all be same length
The text was updated successfully, but these errors were encountered: