Skip to main content

sdfio

CI Docs PyPI

Read and write ISO 25178-71 Surface Data Files (.sdf) in Python.

SDF stores areal (or profile) surface topography measurements as a rectangular grid of height values, in either a human-readable ASCII or a compact binary format. It is used as a software measurement standard (a "softgauge") to verify the software of surface texture measuring instruments, and is also used more generally as a surface topography interchange format.

Supported dialects: ISO-1.0, ISO-2.0, and BCR-1.0 (the pre-standardization proposal this format is based on), without compression or checksummed data areas. Vendor-specific extensions are not supported.

Installation

pip install sdfio

Usage

import numpy as np
import sdfio

data = np.zeros((480, 640))

sdfio.write("surface.sdf", data, x_scale=1e-6, y_scale=1e-6, z_scale=1e-9)

sdf = sdfio.read("surface.sdf")
print(sdf.data.shape)
print(sdf.header)

sdf.data is a (num_profiles, num_points) array of height values in metres, in the standard's right-handed coordinate system: y increases with row index and x with column index (sdfio.SdfFile.x_axis/y_axis return the coordinates, also in metres).

Non-measured or spurious points (the BAD marker in ASCII files, or the data type's reserved sentinel value in binary files) are represented as NaN in sdf.data, and sdfio.write writes NaN values back the same way.

The trailer (record 3) holds free-form historical information, such as an operator name; ISO-2.0 requires it to use the same tagged Name = Value format as the header, which other dialects don't. sdf.trailer_fields reads and writes it as a dict in that format either way:

sdf = sdfio.read("surface.sdf")
sdf.trailer_fields = {"OperatorName": "Jane Doe"}
print(sdf.trailer_fields)

Non-Compliant Files

Reading tolerates known real-world deviations from the standard:

  • An all-zero datetime field parses as None ("not recorded").
  • A binary ManufacID that's NUL-terminated instead of space-padded is truncated at the NUL byte (allowed by BCR-1.0).
  • ASCII records ending in LF or CR instead of CRLF are read normally (allowed by BCR-1.0).
  • An upper case A or B as the first magic character is accepted (allowed by BCR-1.0).
  • A trailer that isn't 7-bit ASCII is returned as-is, not rejected.
  • A binary32/binary64 value written as NaN instead of the sentinel still decodes as a non-measured point.

Command Line

sdfio info surface.sdf
sdfio convert -f ascii surface.sdf surface_ascii.sdf
sdfio convert -d ISO-2.0 -x surface_v1.sdf surface_v2.sdf
sdfio convert -t int16 surface.sdf surface_int16.sdf

convert can change the ASCII/binary format (-f/--format), the SDF dialect and version (-d/--dialect, e.g. ISO-2.0 or BCR-1.0), and the data area storage type (-t/--type) independently; any not given are kept from the source file. Converting to a dialect whose trailer requirements the source file doesn't meet fails unless -x/--fix-trailer is passed to clean it up instead. Run sdfio convert --help for details. The CLI is also runnable as python -m sdfio.

Development

python3 -m venv .venv  # Windows: python -m venv .venv
source .venv/bin/activate  # Windows (PowerShell): .venv\Scripts\Activate.ps1
pip install -e . --group dev
pre-commit install
pytest
pre-commit run --all-files
pip-audit

References

Metadata

Release files for sdfio 1.3.0

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

Source distribution (sdist)

Source distribution for sdfio 1.3.0
File Size Uploaded
sdfio-1.3.0.tar.gz 74.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for sdfio 1.3.0
File Interpreter ABI Platform
sdfio-1.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 110.1 kB

Release files / sdfio-1.3.0.tar.gz

Download URL sdfio-1.3.0.tar.gz
Size 74.9 kB
Tags Source
SHA-256 checksum
How to use checksums
34b83c200d9361fec2733be561a3eef5f0a4de5839463b419e142e5a2fb6b126
BLAKE2b-256 checksum
How to use checksums
66f831ef508981b4fe4a76c954266346f195106f2c8b78d4670391e3497968a4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log

Release files / sdfio-1.3.0-py3-none-any.whl

Download URL sdfio-1.3.0-py3-none-any.whl
Size 35.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
032e3fd9a437c72f5026267898814fabc83a5ddbff15697890f642333dd894f3
BLAKE2b-256 checksum
How to use checksums
ac2accde15e8d585e209a3329921f12deead2eca822eee41c9540da695811cec
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log

Release history Release notifications | RSS feed

2.0.0

2 release files

1.4.0

2 release files

This release

1.3.0 This release

2 release files

1.2.1

2 release files

1.2.0

2 release files

1.1.0

2 release files

1.0.0

2 release files

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