Search Results for "matplotlib-1.5.2"
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Showing 33 open source projects for "matplotlib-1.5.2"
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Science Plots
Matplotlib styles for scientific plotting
Matplotlib styles for scientific figures. This repo has Matplotlib styles to format your figures for scientific papers, presentations, and theses. -
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seaborn
Statistical data visualization in Python
...Its dataset-oriented, declarative API lets you focus on what the different elements of your plots mean, rather than on the details of how to draw them. Behind the scenes, seaborn uses matplotlib to draw its plots. For interactive work, it’s recommended to use a Jupyter/IPython interface in matplotlib mode, or else you’ll have to call matplotlib.pyplot.show() when you want to see the plot. -
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QuTiP
QuTiP: Quantum Toolbox in Python
QuTiP is open-source software for simulating the dynamics of open quantum systems. The QuTiP library depends on the excellent Numpy, Scipy, and Cython numerical packages. In addition, graphical output is provided by Matplotlib. QuTiP aims to provide user-friendly and efficient numerical simulations of a wide variety of Hamiltonians, including those with arbitrary time-dependence, commonly found in a wide range of physics applications such as quantum optics, trapped ions, superconducting circuits, and quantum nanomechanical resonators. QuTiP is freely available for use and/or modification on all major platforms such as Linux, Mac OSX, and Windows*. ... -
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Euler Math Toolbox
Numerical and Symbolic Math Tool
Euler is a powerful all-in-one numerical software and includes Maxima for seamless symbolic computations. Euler supports Latex for math display, Povray for photo-realistic 3D scenes, Python, Matplotlib and C for scripting, and contains a full programming language. Features include libraries for numerical algorithms, optimization, plotting in 2D and 3D, graphics export, a complete help system, tutorials and examples. Euler runs in Windows natively, or in Linux via Wine. It is completely free of royalties. The source is licensed under GPL. -
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Tellurium
Model, simulate, and analyze biochemical systems using one tool.
...It combines a number of existing libraries, including libSBML, libRoadRunner (including libStruct), libAntimony, and is extensible via tePlugins. In addition other tools kits such as matplotlib and NumPy are used to provide additional analysis and plotting support. -
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Sezioni
Python tool for section property evaluation and stress calculation
This software is a basic tool for section property evaluation and stress calculation, written in python. The section can be imported or input by points and then can be modified moved, rotated etc.. Area and section inertia can be exported. Loads can be applied (multiple load cases can be imported) and the related stresses are calculated by mean of De Saint Venant formulas. Results are plot with selectable color maps. Point results are listed and may be exported. Section can be also... -
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PyNanoLab
data analysis and Visualization with matplotlib
PyNanoLab contains a variety of tools to complete the data analysis, statistics, curve fitting, and basic machine learning application. Visualization in pynanolab is based on matplotlib. The setup tools is desinged to control and set-up all the details of the figure with a GUI. -
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ombakwarna
Spreadsheet based graphical and analysis software
OmbakWarna is a spreadsheet based graphical analysis software utilizing numpy and matplotlib as analysis and graphic tools. Its design is inspired by IgorPro software. It is licensed under GNU General Public License, version 2. This is still works in progress. Some widgets are without functionality. There is no manual yet, but a few videos were uploaded to the files section showing simple tutorials for some plotting capabilities. -
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Python4Proteomics Course
Python course for Proteomics analysis
Python course (in Spanish) for Proteomics analysis using basically Jupyter NoteBooks. For more information, you can have a look at the readme.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/p4p/code/ci/default/tree/readme.md -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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MCNPydE
MCNP data extraction and display software library
MCNPydE is a Python library for extracting data from MCNP output file. It requires Python, Matplotlib and Numpy. It is a data reduction tool for MCNP output for ease of results analysis and viewing. -
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Pydicom by examples
Basic and intermediate examples of DICOM library with Jupyter
Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/ -
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GEOMS2
Geostatistics and geosciences modeling software
...Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Petroleum.zip/download Download datasets for students of Geostatistics 2017 (Geology and Mining Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Mining.zip/download Old: http://sourceforge.net/projects/geoms2/files/SETS_geoestatistica2_2015.7z/download https://sites.google.com/site/cmrpsoftware/downloads/Quarry_sets.7z?... -
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Construct2D
COmputational fluid dyNamics STRUctured grid CreaTor for 2D airfoils
...Elliptic grid generation is still available also. Smooth airfoil surface spacing is handled automatically with user-controlled clustering parameters. Also included is a visualizer written in Python with matplotlib. -
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TekDS820
Drive your obsolete Tek oscilloscope remotely with python
Control a Tek TDS-820 remotely via a GPIB interface using linux-gpib, python, matplotlib and tkinter. The programming manual is used to generate an XML schema which is then used to assist in building extra functionality into the tkinter user interface. -
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S.E.E.R. 2 is a full featured SCADA / Historian / Aggregate Analysis System developed to work as a 'front end' for mod_openopc. Written in pure PHP (HTML 4.01 Transitional), and driven by a web-based user interface for universal deployment.
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MerDAQ
A DAQ solution in Python 2 for your Ardruino
MerDAQ is a data acquisition GUI and other tools for collecting and storing time dependent. Originally designed to collect 4 temperature data vs. time and plot one of the temperatures in real time with matplotlib. Ideal for use with Arduino. -
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PhaseSpace
Analyse dynamical systems, plot its phase space and critical points.
...PhaseSpace allows you to plot the phase space of the dynamical system you are studying, its critical points and the curves of slope zero and infinite.It can also plot the solutions of the system and it's vector field. To use PhaseSpace you'll need to have Python installed along with Matplotlib and Numpy. -
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Explore InSAR data and more
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WeatherMonitoringStation
WeatherMonitoringStation monitors environmental data
... * BeagleBone or similar (Angstrom v2011.12-core - Kernel 3.1.0+). * DB18B20 temperature sensor. * For the PC client, Python 3.3 or better is needed in addition to matplotlib. -
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Larch: Data Analysis for X-ray Spectra
Data Processing and Analysis for X-ray Spectroscopy and More
...Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources. Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py). -
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pyL1min
General purpose norm-1 minimization solver in Python
...You need to install Python, NumPy/SciPy and CVXOPT ( FFTW enabled) to use this software. The test.py program demonstrates a simple application in Compressive Sensing and shows how to use l1min module. You need to install matplotlib to plot diagrams. Note: pyL1min can handle complex as well as real vectors. -
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pyTRAX
ODEs solver with GUI
...The program runs on any Python-enabled platform, including GNU/Linux and MS\Windows OSs. To run the program you will need a python interpreter ver. 2.x and compatible versions of numpy, scipy and matplotlib libraries. See screenshot for usage reference. -
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pyisocalc
Isotopic pattern calculator in python 2.x
This is an isotopic pattern calculator written in python. It depends on re, sys, numpy, operator, itertools, and matplotlib. -
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PyParticles
PyParticles is an opensource particles simulation tool box entirely wr
PyParticles is an opensource particles simulation tool box entirely written in python. It support the most popular integrations methods and the most relevant forces model. It also offer a nice looking OpneGL interface or at your preference a Matplotlib based GUI. PyParticles as a forces models implements Gravity, spring, constant force and electrostatic and the user defined vector field force. As a integrations method it includes Euler, Midpoint, Runge Kutta, Störmer Verlet and Leap frog. -
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...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.
