Search Results for "matplotlib" - Page 4
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Showing 123 open source projects for "matplotlib"
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DSTK - DataScience ToolKit
DSTK - DataScience ToolKit for All of Us
...We have also created plugins for more statistical functions, and Big Data Analytics with Microsoft Azure HDInsights (Spark Server) with Livy. License: R, RStudio, NLTK, SciPy, SKLearn, MatPlotLib, Weka, ... each has their own licenses. -
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KS Workbench
a set of scripts that helps you analyze physiology datasets
For the analyses of patch-clamp data (obtained from Igor/MME) using Python. The following modules are the minimum requirements: - Scipy (including numpy, matplotlib) - h5py In addition, following modules are required in order to fully make use of KS Workbench: - scikit-learn (for some fitting algorithms) - rpy2 (for some statistical analyses) -
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GPSFileViewer
Application to browse and visualize your GPS files
... * Quickly navigate your GPS files using embedded file/track/metadata browser * Works with gpx, kml, and csv files * Show overview map of all tracks in directory * Filter tracks in browser based on metadata, location, and path * Color code track overview based on metadata, e.g., overall distance, start time * Simultaneously view one or more tracks on map while graphing detailed metadata (e.g., speed, elevation, hill gradient) * Quickly determine distance and duration for portions of tracks by mousing or dragging in the graph. Use this to see exactly how different routes compare in time and distance Written in WxPython+Matplotlib. Windows executable available; Mac and Linux can be run via script. -
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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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Matplotlib tutorial
Matplotlib tutorial for beginner
The Matplotlib tutorial repository is designed as a hands-on learning resource to help users — especially Python beginners — get started with Matplotlib for creating plots and charts. It provides a sequence of example scripts and notebooks that cover fundamental plotting tasks: line graphs, histograms, scatter plots, bar charts, customizing axes, labels, legends, and styling. -
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Explore InSAR data and more
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visual debugger
image visual debugger
Visualize the in-memory images when you are debugging an OpenCV C/C++ program. It uses the GDB's Python interface, and works in multiply platforms. -
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SciEnPlot
Data Plotting and Analysis for Science and Engineering
... - Implemented a 3d surface plot (GLSurface) based on OpenGL (ScienPlot v1.3.2 and above) - ColorMap surface, trisurface, Pie, Polar plots, and 3D height field, 3dBar, scatter plots (under developing), and more - Column by column plotting/calculation - LaTex commands enclosed by $ symbols can be used for the labels in Graph - Accept txt(Text) and csv(Comma separated values) formatted data - Save, copy, print Graph - Use spread sheets to display data - Textboard to organize the results - Graphs in a publishable quality - Source codes based on: Python Numpy Scipy Matplotlib WxPython Visvis etc. - Special functions - Drag and drop data files - Python console is back (since v1.3.3), capable of reusing column data - Debye and Guinier models for SANS / SAX data - More apps in our Web below -
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Salstat2
statistical package designed for the end user, multiplatform
Salstat2 is an statistical package written in python and designed for the end user It has a graphical user interface and also it is scriptable, It's multiplatform, It has a graphic system inherited from matplotlib, It allows you to use different libraries like numpy - for numerical calculations, it also lets you to interact with Microsoft Excel (R) by using a com client under windows(R) platform and finally you can create your own dialogs by using the interactive shell or the script panel. -
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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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MatplotlibAsHtmlHelp
MatPlotLib documentation as Html Help
The MatPlotLib documentation is available from the their web site as a PDF file and online as html. I reformatted the PDF data as Html and emf and created a compressed html help file (dot chm). The hopeful outcome is a renewed interest in Html Help. -
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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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pyttools
Useful python scripts for windows automation
Basic requirements: - Python 2.7 http://www.python.org/download/releases/2.7/ - pywin32 https://sourceforge.net/projects/pywin32/ - pyHook http://pyhook.sourceforge.net - PIL https://pypi.python.org/pypi/PIL Debug requirements: - matplotlib https://pypi.python.org/pypi/matplotlib * pyparsing https://pypi.python.org/pypi/pyparsing/ + setuptools https://pypi.python.org/pypi/setuptools * dateutil https://pypi.python.org/pypi/python-dateutil -
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scichoplot
Discontinued. Look for http://sourceforge.net/projects/scienplot/
... - LaTex commands enclosed by $ symbols can be used for the labels in Graph - Accept txt(Text) and csv(Comma separated values) format data - Save, copy, print Graph - Save and open a Work/Project file - Use spread sheets to display data - TextPad to organize the results - Python shell for Python users: No need to install Python interpreter. - Graphs generated by matplotlib in a publishable quality. - Source codes based on Python, numpy, scipy, matplotlib, wxPython, etc. - Source codes originated from SasView - Drag and drop files -
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BriPy
A BRIC-seq data analysis package written in Python.
...In the future, it will provide several useful modules(e.g. calculating RPKM of each transcript from BAM file or ELAND output file). -Prerequisites To use BriPy package, you will need Python and the following extension packages. Python2.7 or higher NumPy SciPy Matplotlib -
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ntcpcalc.py
python based ntcp calculation (LKB model, relative seriality model)
.../ntcpcalc.py userinp output would be as follows: NTCP=1.3% finished: - currently a number of different LKB (Lyman-Kutcher-Burman) model parameters and relative seriality models implemented - reads in differential DVH (dose-volume-histogram in ASCII format) - nine different LKB parameter sets for lung NTCP - two different LKB parameter sets for heart NTCP - three different relative-seriality-model parameter sets for lung NTCP - four different relative-seriality-model parameter sets for heart NTCP further to be implemented: -easy processing of an unlimited number of dose-volume datasets -implement plotting of dvh (comparing datasets and NTCP values) via matplotlib -add further biological models for different organs (e.g.TCP) -
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WorldMap
Plot national-level historical data
Python package for plotting national-level historical data, 1946-2011. Uses cshapes, Basemap, matplotlib, and a few others. Intended for people without much experience using Python mapping tools. -
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PyInstaller
Converts (packages) Python programs into stand-alone executables
...You'll never be required to look for tricks in wikis and apply custom modification to your files or your setup scripts. As an example, libraries like PyQt, Django or matplotlib are fully supported, without having to handle plugins or external data files manually. -
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XYmath
XYmath is a GUI that creates, documents and explores y=f(x) curve fits
...After fitting, XYmath will find roots, minima, maxima, derivatives or integrals of the curve. It will generate source code that documents and evaluates the fit in python, FORTRAN or EXCEL. Configurable plots are created using matplotlib that are of publication quality. Click on XYWiki above for more information. If a recent version of pythonxy is installed, then XYmath can be installed with no additional dependencies. XYmath was developed with python 2.7 requires modules: matplotlib / pylab numexpr numpy PIL / Image scipy win32com / win32clipboard -
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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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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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FortGrapher
InLine Plot with Fortran
This is a Fortran Module that merges the performance of the computation of the Fortran with the power of a Python Package called Matplotlib plot the data computed by your fortran code. It allows you to divide you data into groups of datafiles and each group is stored on its own directory. It allows you to create different types of plotting files such as, PNG file for each datafile and PDF and MPEG files for each group of datafiles. It works with FORMATTED and UNFORMATTED fortran datafiles. ... -
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pyShotDetect
(Auto-)Detect Video Scene Changes, output an edit list
...Given a .dv file automatically detect scene changes within that file (best performance on cuts and fade through/to black). Write a .kino file with each of the scenes for post-processing. Dependencies: (Python) openCV matplotlib Tkinter
