ratal / mdfreader

Read Measurement Data Format (MDF) versions 3.x and 4.x file formats in python
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AttributeError: 'list' object has no attribute 'dtype' #197

Open tui-abdul opened 3 years ago

tui-abdul commented 3 years ago

Python version

3.6.9

Platform information

Linux-5.4.0-72-generic-x86_64-with-Ubuntu-18.04-bionic

Numpy version

1.19.5

mdfreader version

4.1

Description

import mdfreader yop = mdfreader.Mdf('x12.mf4')

x12.mf4 is a file created by IMC Famos, it is a 2-D Matrix with "Structure" property of segments. Capture Capture1

Detailed Error

Traceback (most recent call last): File "mdf_read_test.py", line 13, in yop = mdfreader.Mdf('x12.mf4') File "/home/abdul/.local/lib/python3.6/site-packages/mdfreader/mdf.py", line 155, in init metadata=metadata) File "/home/abdul/.local/lib/python3.6/site-packages/mdfreader/mdfreader.py", line 420, in read convert_after_read, filter_channel_names, compression, metadata) File "/home/abdul/.local/lib/python3.6/site-packages/mdfreader/mdf4reader.py", line 1406, in read4 buf.read(channel_set, info, self.fileName) File "/home/abdul/.local/lib/python3.6/site-packages/mdfreader/mdf4reader.py", line 374, in read sorted_flag=True) File "/home/abdul/.local/lib/python3.6/site-packages/mdfreader/mdf4reader.py", line 478, in load name_list, sorted_flag, vlsd) File "/home/abdul/.local/lib/python3.6/site-packages/mdfreader/mdf4reader.py", line 569, in read_data_list data = recarray(record.numberOfRecords, dtype=tmp.dtype) AttributeError: 'list' object has no attribute 'dtype'

ratal commented 3 years ago

Hi, You seem to be using a special structure, probably never encountered or thought of. Channel Array block or compositions applications can be complicated. But just the traceback is not enough for me to troublehsoot. If you can send the file would be perfect or a snapshot of this composition from MDFValidator to understand this structure (Famos is not so helping) You could also scramble/anonymize the file using asammdf if you have confidentiality issues.

vicky157 commented 2 years ago

data = np.array(data, dtype=np.float32) use this on ur dataset