alifedata-phyloinformatics-convert 0.6.0

alifedata-phyloinformatics-convert

alifedata-phyloinformatics-convert helps apply traditional phyloinformatics software to alife standardized data

• Free software: MIT license

• Documentation: https://alifedata-phyloinformatics-convert.readthedocs.io.

Built using the dendropy library.

Use it as a command line tool to convert to alife standard phylogenetics data

Usage: alifedata-phyloinformatics-convert toalifedata [OPTIONS]

  convert standard alife phylogeny data to phloinformatics format

Options:
  --input-file FILENAME   phyloinformatics data file path; default stdin
  --input-schema TEXT     phyloinformatics data format schema; options include
                          newick, nexml, and nexus  [required]
  --output-file FILENAME  alife data file path; default stdout
  --output-format TEXT    alife data file format; default csv
  --help                  Show this message and exit.

Use it as a command line tool to convert from alife standard phylogenetics data

Usage: alifedata-phyloinformatics-convert fromalifedata [OPTIONS]

  convert phloinformatics data to standard alife phylogeny format

Options:
  --input-file FILENAME   alife data file path; default stdin
  --input-format TEXT     alife data file format; default csv
  --output-file FILENAME  phyloinformatics data file path; default stdout
  --output-schema TEXT    phyloinformatics data format schema; options include
                          newick, nexml, and nexus  [required]
  --help                  Show this message and exit.

Use it as a Python module

import alifedata_phyloinformatics_convert as apc
import dendropy
import pandas as pd

alife_df = pd.read_csv('alifedata.csv')

# get a dendropy Tree from alife-standardized phylogeny dataframe
tree = apc.alife_dataframe_to_dendropy_tree(converted_df)

# get a alife-standardized phylogeny dataframe from a dendropy Tree
reconverted_alife_df = apc.dendropy_tree_to_alife_dataframe(tree)

Install from PyPi

pip3 install alifedata-phyloinformatics-convert

History

0.0.0 (2022-03-22)

• First release on PyPI.