Search Results for "matplotlib" - Page 5

...Although written for this specific task it is easy to adopt for any experimental task which changes hardware parameters and waits for a specific condition before proceeding. The graphical interface (QT4) includes plotting (matplotlib), instrument configuration/monitoring and a program step creator. The communication with the hardware is independent of the GUI and any number of devices can be selected. To modify the code for any other task only the hardware interface needs to be redefined.

This simple Python API aims to provide a simple and easy to understand access to the discharge database of the GOLEM Tokamak. The scipy, numpy and matplotlib Python libraries are used for data analysis and plotting.

...Modeled after the general linux pipeline tools such as awk, grep, and sed, the kit provides powerful tools for selecting/combining data, performing statistics, and visualizing results. The tools are all written in python and in many instances provide a command-line API to basic python and numpy/scipy/matplotlib routines.

Echoproc is a piece of scientific analysis software used to extract physical ice sheet characteristics from radio echograms from experiments like the Center for the Remote sensing of ice sheets (https://www.cresis.ku.edu/)

Tool for processing astronomical spectra: raw images and extracted vectors.

Fitta is a program for making and plotting statistical fits, simple and weighted fit, high quality plots thanks to the matplotlib library

jltk is a library for quickly creating GUIs, specifically for scientific applications, using Python. It is based on wxPython, and integrates plotting using matplotlib.

Ascetic is a Python and Matplotlib based Solaris monitoring and charting tool. The tool may also be run in an offline mode on any major operating system.

This is a set of Python classes that can be used to simulate dynamic multi-body systems. It used to be a project for studies. Now it is not being worked on anymore, but it is completely GPLized.

Python standard library + numpy + scipy + matplotlib + ipython + mercurial distribution that can be built from source on most Linux machines. SAGE-PyRuntime is based on customized and stripped version of SAGE (http://www.sagemath.org).

...Yes, TrafficControl. I'm using RED and HTB as it basis qdisc. It's a project for my final essay in college. Just extract it and run main.py as root. don't forget to have matplotlib and GTK.

3D seismic body wave and surface wave tomography program written in python based on Madagascar, Seismic Unix, using numpy, matplotlib and pyQt.

Provides a graphical user interface to the xcms module for R used primarily for processing mass spectrometry data. The primary python modules used are PyQt4, matplotlib, rpy2, and pytables for HDF5 support.

Set of python scripts that can be used for the calculations of equilibrium fractionation factors from experiments and from statistical mechanics theory. python scripts use Scipy/Numpy/Matplotlib/WxPython for calculations, plotting and the GUI

A small simulator for Mendelian genetics, genetic drift, natural selection and random mutations, built on matplotlib and wxpython. A graph will be generated that traces the distribution of genotypes at successive generations.

PyMaTi is a simple and easy to use GUI for numerical and scientific computing in Python. It surrounds well know packages NumPy and Matplotlib and provides possibility to immediately play with numerical python from intuitive user interface.

PyPlotSuite aims to provide immediate, easy-to-use, GUI tools to display, analyze and create publication-quality 2D plots of 1D data series, images, 2D arrays. This project is based on (and would not exist without) pygtk, matplotlib and numpy.

anasig is signal analyzer with an open architecture. It uses modules SciPy and matplotlib.

QME-DEV Workbench (wxScipy) is a data analysis workbench based on Python, SciPy, Numpy and MatPlotLib(PyLab) and uses wxPython for the GUI. It can be used for non-linear analysis with a large set of experimental or generated data. Load/Acquire / Save/ Gr

...Running the Code: To run the code on your standard Python 3.6 Installation, you must install the dependencies by following this: pip install cmake pip install scipy numpy matplotlib scikit-learn pip install opencv-contrib-python pip install imutils pip install dlib pip install playsound

...For install it, download/clone this repository or download suitable binary file from releases. Not working yet! The first release comming soon... Requirements numpy matplotlib PyAstronomy pymc Installation is possible from source code or using build installation binary file (only for OS Windows). The following procedure is only for installation from the source code. Extract files and go to new-created folder. Running script setup.py the installation will be done: python setup.py install

...With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve, allowing researchers to focus on the applicative aspect of Machine Learning rather than their implementation details. It provides algorithms for unsupervised and supervised learning, which may be done with continuous or discrete labels. ...