Readme file for the IP4DI inversion. Two foldels coresponds for the 2.5D and 3D inversion. Start matlab. Set the present working directory to the folder you extracted the files. In both 2.5D and 3D case: Type start to read a file and run an inversion.
Type forwardmodeling to create a resistivity model and calculate the apparent resistivities. Type inversionresults to process and display the output inversion file. Type preprocessing to create the Active time constraind model.
Some demo files can be found inside the demodata subfolder.
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Index of Packages Matching 'numpy' Package Weight. Description 12 NumPy: array processing for numbers, strings, records, and objects. 9 Extract image data into a 3D numpy array from a set of DICOM files. 9 Application for Django projects that adds some utilities and integration tools with Numpy.
3d Resistivity Inversion Software Developers
9 A Python package which provides tools to convert files to and from IDX format (described at into numpy.ndarray. 9 Numpy extensions for set operations on nd-arrays, groupby operations, and related functionality 9 Missing NumPy functionalities 9 Ring buffer implementation for numpy 9 Sphinx extension to support docstrings in Numpy format 9 A Python utility library for working with expanded NumPy arrays.
8 A GPU-ready drop-in replacement for numpy 8 NumPy: array processing for numbers, strings, records, and objects. 8 Formats numpy matrices in an IPython Notebook 7 Gnumpy is a simple Python module that interfaces in a way almost identical to numpy, but does its computations on your computer's GPU, using Cudamat. 7 Toolbox for working with Numpy arrays. 7 NumPy: array processing for numbers, strings, records, and objects. 7 Numpy data serialization using msgpack 7 Nose plugin to set how floating-point errors are handled by numpy 7 more-reasonable core functionality for numpy 7 The interface between PYTHIA and NumPy 7 numpy recipe for python-for-android 7 The interface between ROOT and NumPy 7 Python functions for reading TOPAS result files 7 Wrapper of Numpy in Python3. 7 numpy array over zmq sockets 6 Module for converting directly from BSON to NumPy ndarrays and vice versa 6 Mapchete NumPy read/write extension 6 Utility functions for numpy, written in cython 6 A lightweight, pure Python, numpy compliant ndarray class 5 This project enables quering the Application Insights Analytics API while parsing the results for furthur processing using data analysis tools, such as numpy 5 Python package for splitting arrays into sub-arrays (i.e.
Rectangular-tiling and rectangular-domain-decomposition), similar to ``numpy.arraysplit``. 5 Write a (list of) NumPy array(s) to an (animated) GIF. 5 numpy array with labeled axes 5 A C and NumPy-compatible Python API for acquiring, processing and encoding video streams in real time 5 Save and load numpy arrays as PNG images 5 Numpy and nd4j interop 5 Alternative approach to defining and viewing NumPy's arrays 5 Implementation of the Observer pattern for NumPy arrays 5 Efficient python (NumPy) neural network library.
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5 Streaming operations on NumPy arrays 5 numpy-based multimedia library 5 Write numpy array(s) to a PNG or animated PNG file. 5 Library to make reading, writing and modifying both binary and ascii STL files easy.
5 5 A tiny bit of NumPy for Transcrypt using JavaScript typed arrays 5 Numpy extension module for efficient search of first array index that compares true 5 BMP image handler for Python (to numpy ndarray or PIL) native C.pyd 5 Easily create 1D and 2D films of NumPy arrays. 5 XPM image file loader for Python (to numpy ndarray or PIL) native C.pyd 5 Conversion between QImages and numpy.ndarrays. 5 A pickleable wrapper for sharing NumPy ndarrays between processes using POSIX shared memory.
5 Share numpy arrays between processes 5 Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy. 5 A Python module for reading and writing WAV files using numpy arrays. 5 Out-of-core NumPy arrays 5 Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot) 4 A fast python graph library based on numpy and scipy. 4 Lazy evaluation to treat functions as numpy arrays. 4 Generate country flags with numpy and pandas 4 cython cdef-class to facilitate numpy-arrays as attributes 4 NumPy arrays with named axes and named indices. 4 Create easy-to-use Query objects that can apply on NumPy structured arrays, astropy Table, and Pandas DataFrame.
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4 Package used for reading hyperspectral captures 4 Light weight numpy, scipy, and matplotlib wrapper 4 Adds support for generating datetime to Hypothesis 4 Subclass of numpy.matrix behaving as matrices in matlab. 4 Common 2-D NumPy operations. 4 4 Optimised tools for group-indexing operations: aggregated sum and more. 4 A very lightweight implementation of distributed arrays 4 Python and numpy port of Nicholas Higham's m.lab test matrices 4 Visualizes 3d NumPy arrays using Matplotlib and PyQt4. 3 Return Numpy arrays as formatted LaTeX arrays. 3 Fast Dot Products on Pretty Big Data (powered by Bcolz) 3 Bohrium NumPy 3 A non-distributed numpy-based analysis module focusing on the manipulation, grouping and filtering of data from various sources. Bops also has map-reduce functionality.
3 Fast NumPy array functions written in Cython 3 Fast NumPy array functions written in C 3 Library for converting python numpy datastructures to the ROOT output format. 3 Compute B-spline basis functions via Cox - de Boor algorithm.
3 2d color plotting tool 3 A minmax implementation in Cython for use with NumPy 3 Utility for exploring the dataset 3 A library to provide Table data constructs over SQLite Databases 3 decimalpy - A Decimal based version of numpy 3 A port of the Dual-Tree Complex Wavelet Transform MATLAB toolbox. 3 Cython interface between the numpy arrays and the Matrix/Array classes of the Eigen C library 3 The interface between FastJet and NumPy 3 What's the fastest way to sum a NumPy array? 3 FFVideo is a python extension makes possible to access to decoded frames at two format: PIL.Image or numpy.ndarray. Graphic design pdf portfolio. 3 A parallel and scalable library for matrix operations 3 ftz: flush denormal numbers in numpy arrays to zero 3 Numpy-based vectorized geospatial functions 3 GH Python Remote is a package to get Rhinoceros3D/Grasshopper and Python to collaborate better: connect an external python instance to Grasshopper, and vice-versa.
3 automatically load multi-dimensional Tiff and Gif files and file sequences as numpy arrays using PIL 3 A scientific image viewer and toolkit 3 Fast, scalable & beautiful scientific visualisation 3 Gnuplot-based plotting for numpy 3 HDF REST Server 3 2D particle playground 3 Extra features for Python's JSON: comments, order, numpy, pandas, datetimes, and many more! Simple but customizable.
3 Label the rows, columns, any dimension, of your NumPy arrays. Minelab explorer xs programs. 3 a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays. 3 python class that implements a general least-squares fit of a linear model using numpy matrix inversion 3 A wrapper for numpy arrays providing named axes, interpolation, iteration, disk persistence and numerical calcs 3 Statistical functions, goodness-of-fit tests and special and special distributions not implemented in scipy/numpy. 3 Pure NumPy practice with third-party operator integration. 3 MKL-based FFT transforms for NumPy arrays 3 Monary performs high-performance column queries on MongoDB 3 Convenience wrappers around numpy histograms 3 A multiple-tau algorithm for Python/NumPy. 3 Multivariate Polynomial fitting with NumPy 3 A package for science using numpy, matplotlib, readthedocs, etc.
3 A package for science using numpy, matplotlib, readthedocs, etc. 3 NamedMatrix, a numpy matrix wrapper class. 3 Library to parse Nanonis files. 3 Fast, discrete natural neighbor interpolation in 3D on a CPU. 3 Tools for numpy ndarray 3 Simple and powerfull neural network library for python 3 np = numpy: numpy with added convenience functionality 3 A Python package for working with NumPy arrays and ctypes arrays.
3 Deep Learning Library based on pure Numpy 3 nphelper - convenient numpy helper functions 3 A HUSL color space conversion library that works with numpy 3 Enhancements to Numpy 3 Cross-platform, NumPy based module for reading TDMS files produced by LabView. 3 numbyte - numerical bytearray - c numerical buffer interface extending bytearray into numpy-like, 2d array 3 Numcube extends the functionality of numpy multidimensional arrays by adding named and annotated axes. 3 An alternative OpenCV wrapper 3 Utility library for detecting and removing outliers from normally distributed datasets 3 A Python package extending NumPy and SciPy to allow specification of numbers and arrays with physical units. 3 Extra functions built on NumPy, SciPy, pandas, matplotlib, etc. 3 PyContracts is a Python package that allows to declare constraints on function parameters and return values. Contracts can be specified using Python3 annotations, in a decorator, or inside a docstring:type: and:rtype: tags.
PyContracts supports a basic type system, variables binding, arithmetic constraints, and has several specialized contracts (notably for Numpy arrays), as well as an extension API. 3 Pure Numpy Implementation of the Coherent Point Drift Algorithm 3 A fast and flexible numpy-based wrapper for CPLex's Optimization Suite. 3 Python wrapper for CULAtools 3 A DataFrame (table like datastructure) for Python, similar to R's dataframe based on numpy arrays 3 Allow numpy arrays as source of texture data for pyglet. 3 Pure Python geodesy tools 3 Python interface to the NCSA HDF4 library 3 it allows you to use ipopt (an optimization tool) via python 3 The interface between FastJet and NumPy 3 small nogil-compatible linear equation system solver 3 PyOpenCV - A Python wrapper for OpenCV 2.x using Boost.Python and NumPy 3 Python Solver via Sympy + SciPy/NumPy for Stochastic Differential Equations! 3 f2py and numpy based wrappers for SLALIB 3 An audio library based on PortAudio, CFFI and NumPy 3 An audio library based on libsndfile, CFFI and NumPy 3 A Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / Jupyter Notebook / LaTeX / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV. 3 Python-HDF4: Python interface to the NCSA HDF4 library. 3 Numpy/Scipy implementations of state-of-the-art image thresholding algorithms 3 Seamless Numpy-UBlas interoperability 3 Quantum Hilbert Space Tensors in Python and Sage 3 Support for physical quantities with units, based on numpy 3 ctypes utilities for faster and easier simulation programming in C and Python 3 Fast and direct raster I/O for use with Numpy and SciPy 3 Pure Python implementation of the Ramer-Douglas-Peucker algorithm 3 Python/NumPy implementation of IDL's rebin function.
Many tasks in applied geosciences cannot be solved by single measurements, but require the integration of geophysical, geotechnical and hydrological methods. Numerical simulation techniques are essential both for planning and interpretation, as well as for the process understanding of modern geophysical methods. These trends encourage open, simple, and modern software architectures aiming at a uniform interface for interdisciplinary and flexible modelling and inversion approaches. We present pyGIMLi (Python Library for Inversion and Modelling in Geophysics), an open-source framework that provides tools for modelling and inversion of various geophysical but also hydrological methods. The modelling component supplies discretization management and the numerical basis for finite-element and finite-volume solvers in 1D, 2D and 3D on arbitrarily structured meshes. The generalized inversion framework solves the minimization problem with a Gauss-Newton algorithm for any physical forward operator and provides opportunities for uncertainty and resolution analyses. More general requirements, such as flexible regularization strategies, time-lapse processing and different sorts of coupling individual methods are provided independently of the actual methods used.
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The usage of pyGIMLi is first demonstrated by solving the steady-state heat equation, followed by a demonstration of more complex capabilities for the combination of different geophysical data sets. A fully coupled hydrogeophysical inversion of electrical resistivity tomography (ERT) data of a simulated tracer experiment is presented that allows to directly reconstruct the underlying hydraulic conductivity distribution of the aquifer.
Another example demonstrates the improvement of jointly inverting ERT and ultrasonic data with respect to saturation by a new approach that incorporates petrophysical relations in the inversion. Potential applications of the presented framework are manifold and include time-lapse, constrained, joint, and coupled inversions of various geophysical and hydrological data sets.
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