Search results
Results from the WOW.Com Content Network
Kernel density estimation of 100 normally distributed random numbers using different smoothing bandwidths.. In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights.
The code fragment computes the kernel density estimate with the plug-in bandwidth matrix ^ = []. Again, the coloured contours correspond to the smallest region which contains the respective probability mass: red = 25%, orange + red = 50%, yellow + orange + red = 75%.
In statistics, adaptive or "variable-bandwidth" kernel density estimation is a form of kernel density estimation in which the size of the kernels used in the estimate are varied depending upon either the location of the samples or the location of the test point.
Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
Matplotlib, providing MATLAB-like plotting and mathematical functions (using NumPy). NumPy , a language extension that adds support for large and fast, multi-dimensional arrays and matrices Plotly is a scientific plotting library for creating browser-based graphs .
KmPlot is a mathematical function plotter for the KDE Desktop bundled with the rest of the KDE Applications. [1] The program is recommended for high school and college use. [ 2 ] KmPlot came bundled with Edubuntu .
In 2008, developers of LabPlot and SciDAVis (another Origin clone, forked from QtiPlot) "found their project goals to be very similar" and decided to merge their code into a common backend while maintaining two frontends: LabPlot, integrated with the KDE desktop environment (DE); and SciDAVis, written in DE-independent Qt with fewer dependencies for easier cross-platform use.
The KDE Frameworks bundle consists of over 70 packages. These existed as a single large package, called kdelibs, in KDE SC 4. Kdelibs was split into several individual frameworks, some of which are no longer part of KDE but were integrated into Qt 5.2. [14] KDE Frameworks are grouped in four different tiers according to dependency on other ...