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    "info": {
        "author": "Md Ashiqur Rahman",
        "author_email": "ashiqbuet14@gmail.com",
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            "License :: OSI Approved :: MIT License",
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        "description": "![alt text](https://miro.medium.com/max/640/0*AaKD-VocK5nHixGz.PNG)\n# Copula\nA python library for sampling and generating new Data points by multivariate Gaussian copulas.\n## Overview\nA python libray to build multivariate gaussian copula for given data points and sample arbitary number of new data points from input data distribution. In short *given some input data points, it can generate more  such data points which follow the input data distribution*\n\n## Installation\nInstall using pip\n```\npip install copula\n```\n\n## Usage\n\nIf you have some data points and distribution of this multivariate data points is not explicitly given. Then this library can be used to sample new points from this dritribution.\n*gendata()* funtion number of new samples to be generated as input\n```python\n>>>from copula import pyCopula\n>>>data = [[2,1,2,4],[3,1,7,4],[2,9,1,0],[3,6,1,6] ]\n>>>cop = pyCopula.Copula(data)\n>>>samples = cop.gendata(3)\n>>>print(samples)\n[2.697128268374179, 6.29726013955287, 2.983951810593502, 2.1149729235834496], [3.0, 1.0, 6.831369733333171, 4.631091408593663], [2.147377031275032, 6.75098812552581, 1.9789800708813163, 1.1200891337867478]]\n```\n\n## Assumptions\ndata provided to copula must be a 2D numeric array\n\nData must be clean (no null values)\n\nEvery row of input data must contain same number of columns\n\n\n",
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        "summary": "A python library for sampling and generating new Data points by multivariate Gaussian copulas.",
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