mf4parser 0.0.6

A Python package to extract signals from MDF4 files.

mf4-parser

To extract set of signals from a MDF4 (mf4) files

Features

* Create __mdfSubset__ in two ways
	* Instantiate with a list of 'asammdf.Signals'
	* Create a new subset from a larger MDF(.mf4) file with a list of signals in csv 
* Concatinate two mdfSubsets to create a new file (joins the each signals)
* Get timestamps (start,end) of a mdfSubset object
* Get the name of the signals in the mdfSubset
* Get the sample size of a signal in the mdfSubset
* Resample the signals in the mdfSubset to a different timestep
* Create a list of pandas-series objects (timestamps,samples) with the signals in the mdfSubset
* Create a data table with signals in the mdfSubset
* Export signals in the mdfSubset to a csv file 

Requirements

- Python >=3.7

Installation

pip

pip install mf4parser

git

clone the repo [mf4parser](https://github.com/sridhar-eswaran/mf4-parser.git)

Examples

`

#Create a subset from a larger MF4 file
from mf4parser import mdfSubset as ms
#select mf4 file
mf4_file1 = r'C:\users\sridhar\files\measurementFile01.MF4'
mf4_file2 = r'C:\users\sridhar\files\measurementFile02.MF4'
#select the signal list (csv) file containg list of signals to be extracted (sample can be found in repo)
signalList = r'C:\users\sridhar\files\signalList.csv'
# create a subset
subset1 = ms.createSubset(mf4_file1,signalList)

`

#to get the info of a subset
subset1.getTimestamps()

OUTPUT: [0.060000000, 299.900000000]

subset1.getSignalNames()

OUTPUT: ['Vx', 'Vy', 'Ax', 'Ay']

subset1.getSamplesize('Ax')

OUTPUT: 2500

#create another subset
subset2 = ms.createSubset(mf4_file2,signalList)
## to get the info of a subset
subset2.getTimestamps()

OUTPUT: [299.910000000, 600.100000000]

subset2.getSignalNames()

OUTPUT: ['Vx', 'Vy', 'Ax', 'Ay']

subset2.getSamplesize('Ax')

OUTPUT: 2508

# concatinate subset files
subset12 = ms.mdfConcat(subset1,subset2,'newSubsetname')

`

## Concatinated subset info
subset12.getTimestamps()

OUTPUT: [0.060000000, 600.100000000]

subset12.getSignalNames()

OUTPUT: ['Vx', 'Vy', 'Ax', 'Ay']

subset12.getSamplesize('Ax')

OUTPUT: 5008

# create data series from a subset (creates a pandas series of signals (TimeStamps Vs SampleValue)
dataseries = subset12.createDataSeries()

# Create data table from a subset (creates a pandas data frame (Timestamps | signal1 | signal2 | signal3))
timestep_to_resample = 0.02 # 20milliseconds
dataTable = subset12.createDataTable(timestep_to_resample) 

# export subset to a csv
subset12.exportCSV(timestep_to_resample,'csvFile.csv')