Skip to main content

Read and manipulate Gromacs energy files to pandas Dataframes

Project description

Github Actions Build Status Coverage Status

This repository hosts the source files for both the Pyedr and Panedr packages.

pyedr and panedr are compatible with Python 3.6 and greater.

Pyedr

Pyedr provides a means of reading a Gromacs EDR binary XDR file and return its contents as a dictionary of numpy arrays. Pyedr exposes the following functions:

  • edr_to_dict: returns a dictionary of NumPy arrays keyed by the energy type from a given path to an EDR file.

  • read_edr: parses an EDR file and returns the energy terms in a nested list

  • get_unit_dictionary: Returns a dictionary that holds the units of each energy term found in the EDR file.

Panedr

Panedr uses the Pyedr library to read a Gromacs EDR binary energy XDR file and returns its contents as a pandas dataframe. Panedr exposes the following functions:

  • edr_to_df: which gets the path to an EDR file and returns a pandas DataFrame.

  • get_unit_dictionary: Returns a dictionary that holds the units of each energy term found in the EDR file.

Example

Using pyedr:

import pyedr

# Read the EDR file
path = 'ener.edr'
dic = pyedr.edr_to_dict(path)

# The `verbose` optional parameter can be set to True to display the
# progress on stderr
dic = pyedr.edr_to_dict(path, verbose=True)

# Get the average pressure after the first 10 ns
pressure_avg = dic['Pressure'][dic['Time'] > 10000].mean()

# Get the units of the EDR entries
unit_dict = pyedr.get_unit_dictionary(path)
unit_dict["Temperature"]  # returns "K"

Using panedr:

import panedr

# Read the EDR file
path = 'ener.edr'
df = panedr.edr_to_df(path)

# The `verbose` optional parameter can be set to True to display the
# progress on stderr
df = panedr.edr_to_df(path, verbose=True)

# Get the average pressure after the first 10 ns
pressure_avg = df['Pressure'][df['Time'] > 10000].mean()

# Get the units of the EDR entries
unit_dict = panedr.get_unit_dictionary(path)
unit_dict["Temperature"]  # returns "K"

Install

You can install pyedr and panedr using pip:

pip install pyedr

# installing panedr automatically installs pyedr
pip install panedr

If you are using conda and conda-forge, you can install with:

conda install -c conda-forge pyedr

# install panedr automatically installs pyedr
conda install -c conda-forge panedr

Tests

The pyedr and panedr repositories contains a series of tests. If you downloaded or cloned the code from the repository, you can run the tests. To do so, install pytest, and, in the directory of the panedr source code, run:

For pyedr:

pytest -v pyedr/pyedr/tests

For panedr:

pytest -v panedr/panedr/tests

License

Pyedr and Panedr translate part of the source code of Gromacs into Python. Therefore, Panedr is distributed under the same GNU Lesser General Public License version 2.1 as Gromacs. See the license for more details.

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

panedr-0.7.1.tar.gz (16.6 kB view details)

Uploaded Source

Built Distribution

panedr-0.7.1-py3-none-any.whl (15.7 kB view details)

Uploaded Python 3

File details

Details for the file panedr-0.7.1.tar.gz.

File metadata

  • Download URL: panedr-0.7.1.tar.gz
  • Upload date:
  • Size: 16.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for panedr-0.7.1.tar.gz
Algorithm Hash digest
SHA256 64c74863f72d51729ac5cb1e2dbb18747f7137588990c308ef8ca120fbf2ddd4
MD5 8860cd096d8a605b8114f4d744b3ef8c
BLAKE2b-256 0dc733bf8d578f9c460c49d1f058c15dc91e4264877b2153775ac33e54d604f2

See more details on using hashes here.

Provenance

File details

Details for the file panedr-0.7.1-py3-none-any.whl.

File metadata

  • Download URL: panedr-0.7.1-py3-none-any.whl
  • Upload date:
  • Size: 15.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for panedr-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 61704feaed3feb47189a719e3e37d3b61f75f92c4f701d6490be5925519a1ba3
MD5 d5555b58dd9422446e3fd514679d67ed
BLAKE2b-256 70faf725a900f77401699fb60862395610b5d93d3d396ec9571fe8fda97a6c57

See more details on using hashes here.

Provenance

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