.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.7324875.svg :target: https://doi.org/10.5281/zenodo.7324875
PyLabLib aims to provide support for device control and experiment automation. It interfaces with lots of different of 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:
.. code-block:: 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 binaryThe list of the devices is constantly expanding.
Additional utilities are added to simplify data acquisition, storage, and processing:
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).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.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/ .
PyVISA <https://pyvisa.readthedocs.io/en/latest/> and pySerial <https://pythonhosted.org/pyserial/>) are automatically installed, but can be avoided if necessary.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.You can install the library from PyPi::
pip install pylablibMore options are described in the documentation <https://pylablib.readthedocs.io/en/latest/install.html>__.
Pylablib cam-control <https://github.com/AlexShkarin/pylablib-cam-control>__ - software for universal camera control and frames acquisition.