Skip to main content

PkdGrav-snapshot

Input/output of PkdGrav particle snapshots

This Python library reads and writes particle snapshots in the Tipsy format. Files of this type are typically produced by PkdGrav at each time step of a cosmological N-body simulation. The snapshot files contain information such as mass, position, velocity… of gas, dark-matter, and star particles.

Installation

Install the package directly from the Git repo:

❯ pip install git+https://cosmo-gitlab.phys.ethz.ch/john.hennig/PkdGrav-snapshot.git

Usage

To read particle data from a PkdGrav snapshot file:

import pkdsnap
(gas, dm, star, time) = pkdsnap.read('snapshot.tipsy')

This returns gas, dm (dark matter), and star particles as Pandas data frames as well as the simulation time of the snapshot as a number. The data frames correspond to the struct fields of the PkdGrav file format as documented in the section "Tipsy Format" of the PkdGrav documentation.

Note that PkdGrav does not typically use the .tipsy file extension. For a simulation with output name (achOutName) "results", the files would be named like results.00140, wherein 140 is the time step.

Given Pandas data frames of the same column structure as returned by read(), particle data can be written to a PkdGrav snapshot file with:

pkdsnap.write('snapshot.tipsy', gas=gas, dm=dm, star=star, time=0.01)

For example (made-up numbers, not necessarily physical):

from pandas import DataFrame

gas = DataFrame({
    'm':  [  0.00001 ],
    'x':  [ -0.5     ],
    'y':  [ -0.5     ],
    'z':  [ -0.5     ],
    'vx': [ -0.02    ],
    'vy': [ +0.03    ],
    'vz': [ +0.01    ],
    'ρ':  [  0.1     ],
    'T':  [  4.2     ],
    'hs': [  9.5     ],
    'μ':  [  0.1     ],
    'φ':  [  0.1     ],
})

dm = DataFrame({
    'm':  [  0.00002 ,  0.00002 ],
    'x':  [ -0.1     , +0.5     ],
    'y':  [ -0.4     , +0.2     ],
    'z':  [ +0.1     , +0.4     ],
    'vx': [ -0.02    , +0.03    ],
    'vy': [ +0.03    , +0.00    ],
    'vz': [ -0.00    , +0.02    ],
    'ε':  [  0.0006  ,  0.0006  ],
    'φ':  [ -0.053   , -0.053   ],
})

star = DataFrame({
    'm':  [  0.00003 ,  0.00003 ,  0.00003 ],
    'x':  [ -0.4     , +0.3     , +0.5     ],
    'y':  [ +0.5     , +0.1     , -0.2     ],
    'z':  [ -0.5     , +0.2     , -0.1     ],
    'vx': [ -0.02    , +0.03    , +0.04    ],
    'vy': [ +0.01    , +0.02    , -0.01    ],
    'vz': [ +0.03    , -0.01    , -0.04    ],
    'μ':  [  0.1     ,  0.1     ,  0.1     ],
    'tf': [ 12.1     , 12.2     , 12.3     ],
    'ε':  [  0.0006  ,  0.0006  ,  0.0006  ],
    'φ':  [ -0.053   , -0.053   , -0.053   ],
})

Particle data may also be appended to an existing Tipsy file:

pkdsnap.append('snapshot.tipsy', dm=more_dm_particles)

Note, however, that this only works if the existing file contains only particles of the same type as those to be appended.

Metadata

Release files for PkdGrav-snapshot 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for PkdGrav-snapshot 1.0.0
File Interpreter ABI Platform Actions
pkdgrav_snapshot-1.0.0-py3-none-any.whl Python 3 none any Details for pkdgrav_snapshot-1.0.0-py3-none-any.whl

Release files / pkdgrav_snapshot-1.0.0-py3-none-any.whl

Download URL pkdgrav_snapshot-1.0.0-py3-none-any.whl
Size 19.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
de5c08043bf423c053716233fe5310d7d76778078c9baff0ec06e455bbae3324
BLAKE2b-256 checksum
How to use checksums
e19e2bcabec15e8feb03cb0f9eaa1634286dbd1e431c9a8c8603fd05d7d4297c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.13.1 {"installer":{"name":"uv","version":"0.13.1","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":null,"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Security for PkdGrav-snapshot 1.0.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.0.0 This release

1 release file No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page