Skip to main content

Python interface to SyncroSim

Project description

pysyncrosim

The Python interface to SyncroSim

Installation

pysyncrosim can be installed using either the conda or pip package managers. conda is a general package manager capable of installing packages from many sources, but pip is strictly a Python package manager. While the installation instructions below are based on a Windows 10 operating system, similar steps can be used to install pysyncrosim for Linux.

Before beginning the installation of pysyncrosim, make sure you have the latest release of SyncroSim installed.

Dependencies

pysyncrosim v2.0 was tested and developed using Python 3.12 and SyncroSim 3.0.9. Because pysyncrosim uses rasterio for integrating spatial data, it also requires a C library dependency: GDAL >=3.7.

python=3.12

pandas=2.2.2

numpy=2.1.0

rasterio=1.3.10

Using conda

Follow these steps to get started with conda and use conda to install pysyncrosim.

  1. Install conda using the Miniconda or Anaconda installer (in this tutorial we use Miniconda). To install Miniconda, follow this link and under the Latest Miniconda Installer Links, download Miniconda for your operating system. Open the Miniconda installer and follow the default steps to install conda. For more information, see the conda documentation.

  2. To use conda, open the command prompt that was installed with the Miniconda installer. To find this prompt, type "anaconda prompt" in the Windows Search Bar. You should see an option appear called Anaconda Prompt (miniconda3). Select this option to open a command line window. All code in the next steps will be typed in this window.

  3. You can either install pysyncrosim and its dependencies into your base environment, or set up a new conda environment (recommended). Run the code below to set up and activate a new conda environment called "myenv" that uses Python 3.12.

# Create new conda environment
conda create -n myenv python=3.12

# Activate environment
conda activate myenv

You should now see that "(base)" has been replaced with "(myenv)" at the beginning of each prompt.

  1. Set the package channel for conda. To be able to install the dependencies for pysyncrosim, you need to access the conda-forge package channel. To configure this channel, run the following code in the Anaconda Prompt.
# Set conda-forge package channel
conda config --add channels conda-forge
  1. Install pysyncrosim using conda install. Installing pysyncrosim will also install its dependencies: pandas, numpy, and rasterio.
# Install pysyncrosim
conda install pysyncrosim

pysyncrosim should now be installed and ready to use!

Using pip

Use pip to install pysyncrosim to your default python installation. You can install Python from https://www.python.org/downloads/. You can also find information on how to install pip from the pip documentation.

Install pysyncrosim using pip install. Installing pysyncrosim will also install its dependencies: pandas, numpy, and rasterio.

# Make sure you are using the latest version of pip
pip install --upgrade pip

# Install pysyncrosim
pip install pysyncrosim

Usage

Getting Started

For a basic usage example with the helloworldSpatialPy package, see the spatial_demo.py and input-raster.tif in the examples folder. To download the spatial_demo.py file, view the file on GitHub and select Raw. From the raw view, right-click and select Save As.... To run the spatial demo, you will also need to install the matplotlib Python package. You can install this package using the following code.

# Install matplotlib
conda install matplotlib

SyncroSim Package Development

If you wish to design SyncroSim packages using python and pysyncrosim, you can follow the Creating a Package and Enhancing a Package tutorials on the SyncroSim documentation website. Note that SyncroSim v2.3.10 is required to develop python-based SyncroSim packages.

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

pysyncrosim-2.1.2.tar.gz (42.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pysyncrosim-2.1.2-py3-none-any.whl (46.0 kB view details)

Uploaded Python 3

File details

Details for the file pysyncrosim-2.1.2.tar.gz.

File metadata

  • Download URL: pysyncrosim-2.1.2.tar.gz
  • Upload date:
  • Size: 42.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for pysyncrosim-2.1.2.tar.gz
Algorithm Hash digest
SHA256 7d3fff5d1ba8d333e85dd1b01fd552f8687a57d7a6ec68ae629cef089fca6940
MD5 56c48a0a838bcc2cd826a53d47fc9d44
BLAKE2b-256 ef932f64a0def7622de7ee2181674a6b6b56da049841e90e95b597a7f1c90873

See more details on using hashes here.

File details

Details for the file pysyncrosim-2.1.2-py3-none-any.whl.

File metadata

  • Download URL: pysyncrosim-2.1.2-py3-none-any.whl
  • Upload date:
  • Size: 46.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for pysyncrosim-2.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 fa321b148d90ae8076c9a2dd0a903cbea8dfb0a2b61570e39e5a1b1b1d9ce3ca
MD5 de8f80e602d4c5409acd46367b73edee
BLAKE2b-256 845d00cb2541283b79e07606fe5c885f7d26aad7a6747a185040c2df06030d35

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page