Skip to main content

No project description provided

Project description

Formula Data Processing Library

The python windarab loader

Unit Tests Coverage Report

Formula data processing library or fdplib for short is a library for accessing the custom text file format exported by Windarab by Bosch Motorsports

Installation

FDPLib requires tqdm (used as status bar for loading large data files) and Numpy (used to return data in numpy arrays)

To install FDPLib use pip:

python3 -m pip install fdplib

Usage

In order to use the main functionality of this library, import the fdplib module in your python code

import fdplib

From this a DarabData object can be created by passing the textfile name to the constructor

import fdplib.darab as darab
data = darab.DarabData("<FILENAME>.txt")

With this object, data can be easily accessed using the following methods. First, to get all of the variables in the dataset do data.list_vars()

The main method that you will use to interact with the data is data.get_var("<VARIABLE_NAME>") This method returns a list of all the datapoints associated with the variable. Likewise data.get_var_np("<VARIABLE_NAME>") returns a numpy array of the data. There is an optional boolean parameter called timeseries for both of the previously mentioned methods. If set to True this instead returns the data and the time values associated with it as a 2D array, much in the way matlab does.

Examples

example nmot data

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

fdplib-1.5.tar.gz (3.6 kB view details)

Uploaded Source

Built Distribution

fdplib-1.5-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file fdplib-1.5.tar.gz.

File metadata

  • Download URL: fdplib-1.5.tar.gz
  • Upload date:
  • Size: 3.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for fdplib-1.5.tar.gz
Algorithm Hash digest
SHA256 909c763f84f6cff26dcfb0e3ce112e68f70edecdd3f495422a8aa80ef74ab43c
MD5 341be4fcaa96068f987896864879662f
BLAKE2b-256 32a1ba0ac7611a987b2dcd26732c54fa41aadfbfabd4854ba884f4cb659c7344

See more details on using hashes here.

File details

Details for the file fdplib-1.5-py3-none-any.whl.

File metadata

  • Download URL: fdplib-1.5-py3-none-any.whl
  • Upload date:
  • Size: 4.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for fdplib-1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 6226668077121e394aefd9e65c7c59567085c8be703e13dc76aa50d2f6a1ec12
MD5 852f91e97a30ad32201381ae7ad54bae
BLAKE2b-256 19535bbbc50839b9c04e5a026cfcabaa5c4ed83277da560ad359a7292b41b558

See more details on using hashes here.

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