Search Results for "xy data plotting" - Page 2
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Showing 63 open source projects for "xy data plotting"
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plot.py
direct data plotting and evaluation
The Plot.py project tries to supply a measurement data visualization and treatment framework being easy to use while keeping the freedom for advanced users to execute additional data treatment algorithms. Plotting is done via gnuplot and the script used to produce the graphs can be exported for later use/changes. Many raw experimental data types (mostly of x-ray and neutron scattering experiments) are supported with more to be added on user request. ... -
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Scikit-plot
An intuitive library to add plotting functionality to scikit-learn
Single line functions for detailed visualizations. Scikit-plot is the result of an unartistic data scientist's dreadful realization that visualization is one of the most crucial components in the data science process, not just a mere afterthought. Gaining insights is simply a lot easier when you're looking at a colored heatmap of a confusion matrix complete with class labels rather than a single-line dump of numbers enclosed in brackets. Besides, if you ever need to present your results to... -
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Charting tools, backtesting tools, and data visualization tools for the most popular cryptocurrencies.
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xmgrace python interface
xmgrace and qtgrace plotting interface in python
This is a python module providing a nearly complete interface to the graphing program xmgrace and the new qtgrace (great project... grace works under windows, too, now!). It allows creation of grace plots from within python, which can be customized using python, or through grace after creation. -
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TEACUP
TCP Experiment Automation Controlled Using Python
...When multiple values are provided (e.g. for TCP congestion control algorithm), an experiment is made up of multiple tests. For each experiment and test, TEACUP collects a range of data, such as tcpdump files of traffic seen or TCP stack information (e.g. using Web10G). TEACUP also collects a variety of metadata from the end hosts and bottleneck router, such as the actual OS/kernel version(s) used. TEACUP also provides some simple tools for analysing the results of experiments, such as plotting a flow's experienced RTT over time. -
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i-Map - Plot Geolocation from Images
Automatically plots latitude, longitude from images on Google maps.
i-Map is a Photo metadata forensic tool for Geo-location analysis of images that are clicked from GPS enabled devices. In this tool, you can load 100s of images from a suspect's device and analyze them to know various locations where photos were clicked on mobile phone/tablet. After loading images, with a single click, iMap plots all the images on World Map to visually check where they have been captured, generate timeline and activity of suspect and match them with CDR (Call Detail... -
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colorview2d
Extendible 2D color plotting tool.
Visualize and analyze 3D data files using 2D colorplots. Inspired by spyview. Written in python. -
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pyEBSD-GUI
A free software to post-process EBSD data.
pyEBSD-GUI is a free software to post-process Electron Backscatter Diffraction (EBSD) data, inducing IPF mapping, image quality mapping, phase mapping etc, plotting pole figure, data segmentation, statistic analysis of the misorientation distribution etc. The software is written by python, and it supports both script and graphic user interface (GUI). pyEBSD V1.0 will be released soon. -
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2DFLT
Program for Normalization, Averaging and Editing of In Situ Data Sets
...source=directory). 2DFLT specifically was written to target in situ X-ray Powder Diffraction data from synchrotron measurements. Hence it can read CHI, XYE (TOPAS), FXYE(GSAS/ GSASII) and XY- files formats. However it can read general in situ data written into individual TXT or XY – files. -
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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... -
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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. This makes it ideal for someone learning data analysis or exploratory data visualization for the first time and needing concrete, runnable examples rather than abstract explanations. As the tutorial builds progressively, learners can gradually advance from simple static plots to more complex visualizations, learning how to control figure size, add multiple subplots, adjust plot aesthetics, and handle different data types. ... -
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Based on PyQwt (plotting widgets for PyQt4 graphical user interfaces) and on the scientific modules NumPy and SciPy, guiqwt is a Python library providing efficient 2D data-plotting features (curve/image visualization and related tools) for interactiv
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Astrophotography Lab
A collection of useful tools for astrophotographers
Astrophotography Lab (APLab) is a free program intended for anyone interested in astrophotography. It has two main purposes: - Interpreting data extracted from your astrophotos to produce useful information. - Using this information as a help for further improving your imaging results. The program consists of four main tools: an analyser tool, a calculator tool, a simulator tool and a plotting tool. The tools are connected, allowing you to transfer information between them, and easily go all the way from measuring your camera's sensor to finding the optimal settings for your next imaging session. ... -
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SCaVis
Scientific Computation and Visualization Environment
SCaVis is an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with Java and a number of scripting languages: Jython (Python), Groovy, JRuby, BeanShell. SCaVis can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential... -
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math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
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diCal-IBD
diCal-IBD predicts identical by descent tracts using sequence data
diCal-IBD can be used for predicting identical by descent (IBD) tracts in sequence data. It provides means for calculating the accuracy of the prediction, if the true tracts are available, plotting of the predicted tracts, their TMRCA (time to the most recent common ancestor) and corresponding posterior probabilities, and identification of putative recent positive selection through investigation of average IBD sharing -
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ScreenSifter
ScreenSifter is a unique tool for RNAi Screen analysis and management
...ScreenSifter, to perform the sequential, user friendly, guided, and advanced statistical analyses of RNAi screening results. User can upload their raw signal intensities and will avail complete quality control of screen, hit selection, plotting of hit genes with gene ontology, comparing of replicates or comparing of channels. In addition, ScreenSifter has visualization tools to plot specific genes or gene groups in the screen data. ScreenSifter also provides Gene Set Enrichment Analysis (GSEA), protein-protein interaction directly on the plot. Publication: ScreenSifter: analysis and visualization of RNAi screening data Pankaj Kumar, Germaine Goh, Sarawut Wongphayak, Dimitri Moreau and Frédéric Bard BMC Bioinformatics. 2013 Oct 3;14(1):290. ... -
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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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pygolem
Python API for the GOLEM Tokamak discharge database
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. -
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FreeCeilo is an interface for ceilometer CL31.A shell script is used for collecting data from the ceilometer and freeceilo is used for plotting the data.Tested and developed in SPACE ,Trivandrum
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This is a set of scripts that helps with processing of NMR pH titration data. These scripts allow for fitting (using R) and plotting of data of multiple residues. The program needs to be made more user friendly.
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Gnupylot is a GUI for gnuplot (the widely used multi-OS plotting utility). It's written in Python using PyQt4 libraries. With Gnupylot you can save your plots (even the datasets). It's still in Alpha stage.
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APLpy (the Astronomical Plotting Library in Python) is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. Visit http://aplpy.sourceforge.net/ for tutorials and documentation.
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Fitta is a program for making and plotting statistical fits, simple and weighted fit, high quality plots thanks to the matplotlib library
