Read and write tfs files.
Project description
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
DataFrameby combining multipleTfsDataFrame, for example viapandas.DataFrame.append()orpandas.concat(), will convert theTfsDataFrameback to aDataFrameand lose therefore the headers.
Authors
License
This project is licensed under the MIT License - see the LICENSE.md file for details
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