Read and write tfs files.
Project description
TFS-Pandas
This package provides reading and writing functionality for table format system (tfs) files.
Files are read into a TfsDataFrame, a class built on top of the famous pandas.DataFrame, which in addition to the normal behaviour attaches an OrderedDict of headers to the DataFrame.
Installing
Installation is easily done via pip:
pip install tfs-pandas
Example Usage
The package is imported as tfs, and exports top-level functions for reading and writing:
import tfs
# Loading a TFS file is simple
data_frame = tfs.read("path_to_input.tfs", index="index_column")
# You can access and modify the headers with the .headers attribute
useful_variable = data_frame.headers["SOME_KEY"]
data_frame.headers["NEW_KEY"] = some_variable
# Manipulate data as you do with pandas DataFrames
data_frame["NEWCOL"] = data_frame.COL_A * data_frame.COL_B
# You can check the validity of a TfsDataFrame, and choose the behavior in case of errors
tfs.frame.validate(data_frame, non_unique_behavior="raise") # or choose "warn"
# Writing out to disk is simple too
tfs.write("path_to_output.tfs", data_frame, save_index="index_column")
It also provides some tools to validate and manipulate TfsDataFrames and their headers; or lazily manage a collection of TFS files.
See the API documentation for details.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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