Comments (4)
Dear,
I would say that without increasing your machine memory, you will have always difficulties to read big files.
But there are ways to optimise memory consumption:
- you can use parameter convertAfterRead=False to have same memory use of your file (conversion to floating inflates memory use)
- you can choose to only read a list of channels. To know the file list of channels, you can refer to issue #27 and then use the listchannel parameter
- exporting to CSV is generally a bad idea for big files. You could export to HDF5 which is a good and widely used format (you can read it in Matlab for instance). But generally for whatever export, it is needed to copy some data so you also need memory margin.
Regards
from mdfreader.
Hello,
Thank you very much for getting back to me. I am fairly new to all of this and appreciate your help.
On the third point, the files are so big that it is not even getting as far as reading them in, even without trying to convert them and that is with convertAfterRead=False.
So am I right in thinking that, if a CAN log was taken over 8 hours, there is no way of reading in only (say) the first hour or the second hour of data?
If not, I will definitely look at limiting the channels that I read in or splitting the file using different software.
Thanks again,
Peter
from mdfreader.
Hi,
There is no functionality to have partial read of the data in mdfreader so I as you proposed, you should read a list of channels
Regards
from mdfreader.
Thank you very much for your help. I'll close the issue now but I'm very grateful.
Yours,
Peter
from mdfreader.
Related Issues (20)
- Incorrect record length HOT 27
- How to read multiple .dat files with mdf reader? HOT 6
- Can we specify interpolation method while resampling? HOT 2
- Not able to extract data from different devices with same channel name HOT 1
- GigE Vision (GVSP) does not read last byte of Ethernet payload HOT 1
- [Improvement] Create Python package from dataRead extension. HOT 2
- CSV export without empty row between data? HOT 4
- Index problem HOT 1
- AttributeError: 'list' object has no attribute 'dtype' HOT 2
- MemoryError reading 4,11GB MF4 file
- export to csv adding an extra line HOT 2
- readmdf read network file HOT 2
- export_to_csv(): Is it possible to remove the 100hz resample? HOT 15
- [Improvement] - unzip to RAM instead of disk HOT 2
- UserWarning: Could not parse CG block names tag HOT 1
- Data conversion inconsistent HOT 5
- Incorrect data conversion HOT 2
- where is the sample.mdf file? HOT 1
- Can i read .mat file using mdfreader? HOT 1
- check for right endianness HOT 3
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