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added more random data;added parameters to multivariate-random.py

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Martin Thoma 2014-08-24 19:01:10 -04:00
parent 80bfd7b9ca
commit 67feb2890d
3 changed files with 6044 additions and 4032 deletions
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8
tikz/csv-2d-gaussian-multivarate-distributions/csv-2d-gaussian-multivarate-distributions.tex
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@ -48,7 +48,7 @@
y label style={at={(axis description cs:-0.05,0.5)}, y label style={at={(axis description cs:-0.05,0.5)},
anchor=south, anchor=south,
rotate=90, rotate=90,
font=\boldmath\sansmath\sffamily\Large}, font=\boldmath\sansmath\sffamily\Large}
] ]
\addplot[ \addplot[
scatter, scatter,
@ -65,9 +65,9 @@ scatter,
only marks, only marks,
point meta=explicit symbolic, point meta=explicit symbolic,
scatter/classes={ scatter/classes={
b={mark=*,mark size=3pt,red!30!white,draw=black},% b={mark=*,mark size=4pt,red!30!white,draw=black},%
c={mark=*,mark size=3pt,cyan!30!white,draw=black},% c={mark=*,mark size=4pt,cyan!30!white,draw=black},%
a={mark=*,mark size=3pt,green!70!black,draw=black}}, a={mark=*,mark size=4pt,green!70!black,draw=black,pin=135:{\color{black}$(65, 35)$},label={(65, 35)}] {}}},
] ]
table[meta=label] { table[meta=label] {
x y label x y label

10000
tikz/csv-2d-gaussian-multivarate-distributions/data.csv
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18
tikz/csv-2d-gaussian-multivarate-distributions/multivariate-random.py
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@ -4,13 +4,15 @@ import matplotlib.pyplot as plt
import numpy import numpy
import csv import csv
cov = [[25, 20], [20, 25]] # diagonal covariance, points lie on x or y-axis
def main(n):
cov = [[25, 20], [20, 25]]
meanI = [70, 40] meanI = [70, 40]
datapointsI = 2000 datapointsI = n
meanII = [60, 20] meanII = [60, 20]
datapointsII = 2000 datapointsII = n
dataI = numpy.random.multivariate_normal(meanI, cov, datapointsI).T dataI = numpy.random.multivariate_normal(meanI, cov, datapointsI).T
x, y = dataI x, y = dataI
@ -38,3 +40,13 @@ with open("data.csv", 'wb') as csvfile:
quotechar='"', quoting=csv.QUOTE_MINIMAL) quotechar='"', quoting=csv.QUOTE_MINIMAL)
for datapoint in data: for datapoint in data:
spamwriter.writerow(datapoint) spamwriter.writerow(datapoint)
if __name__ == "__main__":
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
parser = ArgumentParser(description=__doc__,
formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument("-n",
dest="n", default=2000, type=int,
help="how many points should get generated")
args = parser.parse_args()
main(args.n)