File:Csv-bivariate-normal-distribution.svg
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Original file (SVG file, nominally 640 × 1,295 pixels, file size: 2.65 MB)
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Summary[edit]
| Description |
English: 5000 samples of a bivariate normal distribution with variances 1 and 4 and rho=0.7
Deutsch: 5000 Datenpunkte einer Bivariaten Normalverteilung mit der Kovarianzmatrix 1.0, 0.7, [0.7, 4.0] und dem mittelwertsvektor [0.0, 0.0] |
| Date | |
| Source | Own work |
| Author | MartinThoma |
W3C-validity not checked.
Source is available at github
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Create samples for bivariate distribution."""
from numpy.random import multivariate_normal, seed
def create_data(n):
means = [0.0, 0.0]
cov = [[1.0, 0.7], [0.7, 4.0]]
seed(0)
samples = multivariate_normal(means, cov, n)
with open("data.csv", "w") as f:
f.write("x,y\n")
for datapoint in samples:
f.write("%0.4f,%0.4f\n" % tuple(datapoint))
def get_parser():
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
parser = ArgumentParser(description=__doc__,
formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument("-n",
dest="n",
default=5000,
type=int,
help="Number of points to generate")
return parser
if __name__ == "__main__":
args = get_parser().parse_args()
create_data(args.n)
\documentclass[varwidth=true, border=2pt]{standalone}
\usepackage[utf8]{inputenc} % this is needed for umlauts
\usepackage[ngerman]{babel} % this is needed for umlauts
\usepackage[T1]{fontenc} % this is needed for correct output of umlauts in pdf
\usepackage[margin=2.5cm]{geometry} %layout
\usepackage{pgfplots}
\pgfplotsset{compat=newest}
\usetikzlibrary{plotmarks}
\begin{document}
\tikzset{mark options={line width=0.5pt}}
\begin{tikzpicture}
\begin{axis}[
width=7.5cm, height=15cm, % size of the image
enlarge x limits=0.05,
enlarge y limits=0.05,
xmin = -5,
xmax = 5,
ymin = -10,
ymax = 10,
% xlabel=x,
% ylabel=y
]
\addplot[scatter,
only marks,
mark=*,
mark size = 1,
point meta=1,
]
table [x=x, y=y, col sep=comma] {data.csv};
\end{axis}
\end{tikzpicture}
\end{document}
Licensing[edit]
I, the copyright holder of this work, hereby publish it under the following license:
 
|
This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication. |
| The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 14:52, 8 September 2015 | | 640 × 1,295 (2.65 MB) | MartinThoma (talk | contribs) | {{Information |Description ={{en|1=5000 samples of a bivariate normal distribution with variances 1 and 4 and rho=0.7}} {{de|1=5000 Datenpunkte einer Bivariaten Normalverteilung mit der Kovarianzmatrix 1.0, 0.7, [0.7, 4.0] und dem mittelwertsvek... |
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