Skip to main content

Python parser for CarMaker ERG files.

Project description

cmerg

Python parser for CarMaker ERG files with Pandas dataframe export.

Use and Examples

Moslty these are notes for myself but hopefully someone else finds them useful.

Examples

Make sure that all the dependencies are installed.

pip install asammdf numpy

Import the package folder.

import cmerg

Create ERG file object. (Using example file from repo)

log1 = cmerg.ERG('test-data/Test-Dataset-1_175937.erg')

List of the signals in the file.

log1.signals

Save the vehicle speed signal to a variable.

speed = log1.get('Vhcl.v')

Plot signal.

speed.plot()

Add signal to dataframe.

# New easy call to return a pandas dataframe.
df = log1.to_pd()
# Simple example of adding ERG data to pandas.
# TODO: Make 'toPd()' call
import cmerg
import pandas as pd
import numpy as np

log1 = cmerg.ERG('data-file.erg')

speed = log1.get('Vhcl.v')

t = np.array(speed.timestamps)
spd = np.array(speed.samples)

df = pd.DataFrame({'time':t, 'speed':spd})

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cmerg-0.1.tar.gz (4.7 kB view hashes)

Uploaded Source

Built Distribution

cmerg-0.1-py3-none-any.whl (5.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page