Search Results for "mean"

...Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots. 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.

CalcPro with Function Plotter and ExpressionSolver arithmetic operations trigonometric operations calculations with hexadecimal numbers sum and mean calculator of number separated by | functions plotter (by assigning a value to x) astronomical functions statistic functions photography functions (ev calculator, lux calculator) datetime diff functions

smib is one of the smallest and simplest computer algebra system in the world, but simple does not mean simplistic. Using smib you can explore many branches of mathematics (e.g. number theory, algebra, calculus, numerical analysis, differential geometry, probability and stochastic calculus) and also some physics (e.g. electromagnetism and quantum mechanics).. By simple you can understand easy to program (smib is a dynamically typed language, with strong affinity to recursivity, programs are often short and powerful and maybe useful for teaching), and also easy to modify (source code is free, written in C language, and based on notions of stacks and lists). ...

PortOpt [Portfolio Optimizer] is a C++ program (with Python binding) implementing the Markowitz(1952) mean-variance model with agent's linear indifference curves toward risk in order to find the optimal assets portfolio under risk. You have to provide PortOpt (in text files or - if you use the api - using your own code) the variance/covariance matrix of the assets, their average returns and the agent risk preference. It returns the vector of assets' shares that composes the optimal portfolio. ...

The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too. The Universal Java Matrix Package provides various visualization methods, import and export filters for a large number of file formats, and even the possibility to link to JDBC databases. Multi-dimensional matrices as well as generic matrices with a specified object type are supported and very large matrices can be handled even when they do not fit into memory.

Diagonal can be used for: - getting descriptive statistics such as mean/median/mode with your program producing a sample - finding a root of an equation your program defines - calculating a fixed point of a function your program defines - detecting a cycle of a fuction your program defines as well as - decoding a VCDIFF file

QPNet (Quick Petri Net) is a fast Petri Nets' emulator, created by students of Moscow State Technical University of Radio Engineering, Electronics and Automation. It brings benefits for the educational process, while being under further development and extension. QPNet это быстрый эмулятор сетей Петри, созданный студентами МИРЭА. Он применяется в учебном процессе, а так же продолжает разрабатываться и эволюционировать.

Average is a simple and fast command-line Perl utility for calculating basic statistics on a list of numbers (one number per line). It works as a traditional Unix filter and can be used as part of those greatly useful chains of piped commands. It calculates average (arithmetic mean), standard deviation, median, total sum, minimum and maximum values present, and shows the number of processed numbers. Entry can by a text file (any column can be specified, default is the first) or directly in the terminal if Average is run without specifying a file -- in which case, input can be terminated by pressing Ctrl-D. ...

Statcato is a Java software application for elementary statistics. Its features include data and graph generation, probability distributions, descriptive statistics, confidence intervals, hypothesis tests, correlation, regression, and analysis of var

A lightweight C++ and Python library for finance, statistics and linear algebra. Finance features include compound rate present/future value, annuity, various present/future value coefficients ... Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition, svd, eigen values/vectors ... And some auxiliary features like random number generators, equation solution, numerical integration, permutation/combination and gcd/lcm etc. ...

MESH is a tool that measures distortion between two discrete surfaces (triangular meshes) using the Hausdorff distance to compute a maximum, mean and root-mean-square errors between two given surfaces. It also displays the error values on the surface.

... * tblred: compute ("reduce") aggregations (e.g., sum, average) over groups defined by key columns. * tbldesc: Summarize columns in file (e.g., proportion of character/numeric values, min/mean/median/max, missing values, correlation with a target column). * tbljoin: Relational join without the need of pre-sorting and column matching. * ... See HostedApps/MediaWiki for examples.

A cross-platform, text-interpreting calculator written in the Java programming language. Runs on any computer with Java 6 or higher installed. Functions much like a Ti-84, but without the graphing utility.

snlanalytic is a small Python script that takes a stem-and-leaf plot as input and returns basic statistics (sum, mean, median, mode) to the user.

Python program for fitting rate constants to primarily kinetic data as 1st or 2nd order kinetics or autocatalysis. It also allows specific noise cancelling, data smoothing by fourrier transform, box averaging and flowing mean. For Python 2.6 or earlier.

LibNav is a library providing general algorithms for navigation and positioning. It includes datum conversions, reference systems conversions, vector and matrix operations, Least-Mean-Squares, Kalman Filter, Runge-Kutta, statistical tools and more.

Software package for computing coresets that can be used for computationally effective approximation of solutions for k-mean, k-median and numerous other problems in computational geometry.

Implements the response of a gaussian function in dependency of abscissa, mean value and standard deviation. Further implementations will provide a Lookup-Table based solution to calculate exponential values without dependency to precompiled libraries.