Search Results for "combine"

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn helps you explore and understand your data. 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...

SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.

...##### Find the most recent news and downloads at http://rkward.kde.org . RKWard aims to provide an easily extensible, easy to use IDE/GUI for R. RKWard tries to combine the power of the R-language with the (relative) ease of use of commercial statistics tools.

Its strange how the "sorted pointers" normalizing makes just about any random function, as long as it connects the inputs to the outputs on some path, vibrate as some nonlinear shape of wave. This could be used as a game interface for evolvable musical instruments or fluid puzzle games. Physicsmata is similar in effect to SmoothLife but simpler and pure Java. The cellular automata API takes a function to run at each point. Its parameters are sums of screen brightness (n color dimensions are...

VisualIntFactor will be an interactive educational and scientific tool demonstrating multiply, factor, conversion between unary counting and binary integers, all in the same grid of hexagons. This grid is based on pascals triangle, which is a 1d cellular automata that calculates (X choose Y) factorials by each cell being the sum of the 2 cells upleft and upright. Draw a binary integer from a cell going upright, then explore the allowed transforms which may lead you to a factored state in 2...

Draw 2D: function chart, data points chart, statistical bar chart. It's possible to combine all 3 types of chart into one. This is powerfull and easy tool, as it gives ability to manage many charts parameters. This may often compete with Gnuplot and oth

another extended algorithm for least square method. the main purpose of this algorithm is to combine both the least square method's and interpolation method's merit into one.

Preference (or approval) ballot tabulation to select winner(s) of election contests or rank decisions. Uses dropping cost minimization to combine two Condorcet methods: Cloneproof Schwartz Sequential Dropping and Tideman's Ranked Pairs.