Metadata-Version: 2.1
Name: pylablib
Version: 1.4.4
Summary: Code for use in lab environment: experiment automation, data acquisition, device communication
Home-page: https://github.com/AlexShkarin/pyLabLib
Author: Alexey Shkarin
Author-email: pylablib@gmail.com
License: GPLv3
Project-URL: Documentation, https://pylablib.readthedocs.io
Project-URL: Source, https://github.com/AlexShkarin/pyLabLib/
Project-URL: Tracker, https://github.com/AlexShkarin/pyLabLib/issues
Description: ## Overview
        
        [![10.5281/zenodo.7324875](https://zenodo.org/badge/DOI/10.5281/zenodo.7324875.svg)](https://doi.org/10.5281/zenodo.7324875)
        
        PyLabLib aims to provide support for device control and experiment automation. It interfaces with lots of different [devices](https://pylablib.readthedocs.io/en/latest/devices/devices_root.html), including several different [camera interfaces](https://pylablib.readthedocs.io/en/latest/devices/cameras_root.html), [translational stages](https://pylablib.readthedocs.io/en/latest/devices/stages_root.html), [oscilloscopes](https://pylablib.readthedocs.io/en/latest/devices/Tektronix.html), [AWGs](https://pylablib.readthedocs.io/en/latest/devices/generic_awgs.html), [sensors](https://pylablib.readthedocs.io/en/latest/devices/basic_sensors_root.html), and more. The interface is implemented in a natural way through Python objects, and is easy to understand. For example, here is a complete script which steps Thorlabs KDC101 stage by 10000 steps ten times, and each time grabs a frame with Andor iXon camera:
        
        ```python
        
            from pylablib.devices import Thorlabs, Andor  # import the device libraries
            import numpy as np  # import numpy for saving
        
            # connect to the devices
            with Thorlabs.KinesisMotor("27000000") as stage, Andor.AndorSDK2Camera() as cam:
                # change some camera parameters
                cam.set_exposure(50E-3)
                cam.set_roi(0, 128, 0, 128, hbin=2, vbin=2)
                # start the stepping loop
                images = []
                for _ in range(10):
                    stage.move_by(10000)  # initiate a move
                    stage.wait_move()  # wait until it's done
                    img = cam.snap()  # grab a single frame
                    images.append(img)
        
            np.array(images).astype("<u2").tofile("frames.bin")  # save frames as raw binary
        ```
        
        The list of the devices is constantly expanding.
        
        Additional utilities are added to simplify data acquisition, storage, and processing:
        
        - Simplified data processing utilities: convenient [fitting](https://pylablib.readthedocs.io/en/latest/dataproc.html#fitting), [filtering](https://pylablib.readthedocs.io/en/latest/dataproc.html#filtering-and-decimation), [feature detection](https://pylablib.readthedocs.io/en/latest/dataproc.html#feature-detection), [FFT](https://pylablib.readthedocs.io/en/latest/dataproc.html#fourier-transform) (mostly wrappers around NumPy and SciPy).
        - Universal multi-level [dictionaries](https://pylablib.readthedocs.io/en/latest/storage.html#multi-level-dictionary) which are convenient for [storing](https://pylablib.readthedocs.io/en/latest/storage.html#dictionary-files) heterogeneous data and settings in human-readable format.
        - Assorted functions for dealing with [file system](https://pylablib.readthedocs.io/en/latest/misc_utils.html#file-system) (creating, moving and removing folders, zipping/unzipping, path normalization), [network](https://pylablib.readthedocs.io/en/latest/misc_utils.html#network) (simplified interface for client and server sockets), [strings](https://pylablib.readthedocs.io/en/latest/misc_utils.html#strings) (conversion of various Python objects to and from string), and more.
        
        The most recent version of the library is available on GitHub (https://github.com/AlexShkarin/pyLabLib), and the documentation can be found at https://pylablib.readthedocs.io/ .
        
        
        ## Requirements
        
        - Python 3 (tested with 3.6+)
        - Most extensively tested with Windows 10 and 64-bit Python. Linux is, in principle, supported, but devices which require manufacturer-provided DLLs (mostly cameras) might, potentially, have problems.
        - Basic version only needs numpy, SciPy and pandas. Advanced device communication packages (such as [PyVISA](https://pyvisa.readthedocs.io/en/latest/) and [pySerial](https://pythonhosted.org/pyserial/)) are automatically installed, but can be avoided if necessary.
        - Some devices might require [additional software](https://pylablib.readthedocs.io/en/latest/devices/devices_basics.html#dependencies-and-external-software). If this is the case, the requirements are mentioned on the corresponding page.
        
        
        ## Installation
        
        You can install the library from PyPi:
        
            pip install pylablib
        
        More options are described in the [documentation](https://pylablib.readthedocs.io/en/latest/install.html).
        
        
        ## Related projects
        
        [Pylablib cam-control](https://github.com/AlexShkarin/pylablib-cam-control) - software for universal camera control and frames acquisition.
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: Microsoft :: Windows
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Description-Content-Type: text/markdown
Provides-Extra: devio-full
