tfs-pandas 1.0.1

Read and write tfs files.

TFS-Pandas

This package provides reading and writing functionality for table format system (tfs) files.

Getting Started

Prerequisites

The package depends heavily on pandas and also on numpy, so these packages need to be installed in your python environment.

Installing

Installation is easily done via pip. The package is then used as tfs.

pip install tfs-pandas

Example:

import tfs

data_frame = tfs.read('path_to_input.tfs', index="index_column")
tfs.write('path_to_output.tfs', data_frame, save_index="index_column")

Description

Reading and writing capabilities for tfs-files are provided by this package. The files are read into special pandas Dataframes, called TfsDataFrames, which in addition to the normal behaviour attach an OrderedDict of headers to the DataFrame.

Known Issues

• Creating a new DataFrame by combining multiple TfsDataFrame, for example via pandas.DataFrame.append() or pandas.concat(), will convert the TfsDataFrame back to a DataFrame and lose therefore the headers.

Authors

• Jaime - Initial work - jaimecp89
• Lukáš - Initial work - lmalina
• Josch - Publishing - JoschD
• pyLHC/OMC-Team - Working Group - pyLHC

License

This project is licensed under the MIT License - see the LICENSE.md file for details