evo-data-converters-xyz 0.0.3

Python data converters for XYZ files to Evo geoscience objects

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Evo

Evo is a unified platform for geoscience teams. It enables access, connection, computation, and management of subsurface data. This empowers better decision-making, simplified collaboration, and accelerated innovation. Evo is built on open APIs, allowing developers to build custom integrations and applications. Our open schemas, code examples, and SDK are available for the community to use and extend.

Evo is powered by Seequent, a Bentley organisation.

Pre-requisites

• Python virtual environment with Python 3.10, 3.11, or 3.12
• Git

Installation

pip install evo-data-converters-xyz

XYZ

XYZ (.xyz) is a simple ASCII file format where each line contains space- or comma-separated coordinate values. The converter automatically detects the file variant from the first data line. Header lines (any line not starting with a digit, ., +, or -) are automatically skipped. Sentinel values (*) are replaced with -1.0e32.

Supported file types

Type	Delimiter	Columns	Example
Points	comma	3 numeric (x, y, z)	10.2,10.2,10.3
Binary	comma	2 numeric (x, y)	12.2,12.3
Geochemistry (comma)	comma	label + 3 numeric (x, y, z)	C,10.1,10.2,10.3
Geochemistry (space)	space	label + 3 numeric (x, y, z)	C 10.1 10.2 10.3
Geosoft Binary XYZ	space	2 numeric (x, y); z set to 0.0	-0.69 -1.40
Geosoft Binary XYZ + Data	space	≥3 columns; x, y + data value; z set to 0.0	-0.69 -1.40 5.2
Geosoft XYZ Triplet	space	3 numeric (x, y, z)	-0.69 -1.40 0.20
Geosoft XYZ Triplet + Data	space	≥4 columns; x, y, z + data value	-0.69 -1.40 0.20 5.2

Type disambiguation for multi-column Geosoft files: when the file has ≥3 space-separated columns, the detected type depends on the z_index and data_index parameters passed to convert_xyz:

• data_index set, z_index = -1 → Geosoft Binary XYZ + Data (z forced to 0.0)
• data_index set, z_index set → Geosoft XYZ Triplet + Data
• neither set → Geosoft XYZ Triplet

Column index parameters

All index parameters default to -1, which means "use the natural column order". Pass explicit zero-based column indices to select different columns from the file. These are only used in the Geosoft types, being ignored for all the others.

Parameter	Default (-1)	Custom (≥ 0)
x_index	column 0	picks the specified column
y_index	column 1	picks the specified column
z_index	column 2 (or 0.0 for binary types)	picks the specified column; also promotes the type to Triplet + Data when data_index is also set
data_index	no attribute created	picks the specified column as a per-point data attribute on the pointset

Implementations

The XYZ converter currently supports:

• Reading – Parse a .xyz file into a NumPy float64 array of shape (N, 3) plus an optional list[float] of per-point data values.
• Type detection – Automatically identify the XYZ variant from the first data line, refined by the z_index/data_index parameters.
• Parquet export – Save the parsed coordinates to a Parquet file with three float64 columns (x, y, z). Per-point data values are saved to a separate Parquet file.
• Publishing – Import the XYZ file as a Pointset (schema pointset/1.3.0) into an Evo workspace. When data values are present they are attached as a ContinuousAttribute named data on the pointset locations.

Publish geoscience objects from an XYZ file(s)

The evo-sdk-common Python library can be used to sign in. After successfully signing in, the user can select an organisation, an Evo hub, and a workspace. Use evo-objects to get an ObjectAPIClient, and evo-data-converters-xyz to convert your file.

Have a look at the code-samples/convert-xyz.ipynb notebook for an example of how to publish XYZ files.

Code of conduct

We rely on an open, friendly, inclusive environment. To help us ensure this remains possible, please familiarise yourself with our code of conduct.

License

Evo data converters are open source and licensed under the Apache 2.0 license.

Copyright © 2026 Bentley Systems, Incorporated.

Licensed under the Apache License, Version 2.0 (the "License"). You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.