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

tikz/csv-2d-gaussian-multivarate-distributions/csv-2d-gaussian-multivarate-distributions.tex

@@ -48,7 +48,7 @@
         y label style={at={(axis description cs:-0.05,0.5)},
                        anchor=south,
                        rotate=90,
-                       font=\boldmath\sansmath\sffamily\Large},
+                       font=\boldmath\sansmath\sffamily\Large}
         ]
 \addplot[
 scatter,
@@ -65,9 +65,9 @@ scatter,
 only marks,
 point meta=explicit symbolic,
 scatter/classes={
-b={mark=*,mark size=3pt,red!30!white,draw=black},%
-c={mark=*,mark size=3pt,cyan!30!white,draw=black},%
-a={mark=*,mark size=3pt,green!70!black,draw=black}},
+b={mark=*,mark size=4pt,red!30!white,draw=black},%
+c={mark=*,mark size=4pt,cyan!30!white,draw=black},%
+a={mark=*,mark size=4pt,green!70!black,draw=black,pin=135:{\color{black}$(65, 35)$},label={(65, 35)}] {}}},
 ]
 table[meta=label] {
     x   y   label

tikz/csv-2d-gaussian-multivarate-distributions/multivariate-random.py

@@ -4,13 +4,15 @@ import matplotlib.pyplot as plt
 import numpy
 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]
-datapointsI = 2000
+    datapointsI = n
 
     meanII = [60, 20]
-datapointsII = 2000
+    datapointsII = n
 
     dataI = numpy.random.multivariate_normal(meanI, cov, datapointsI).T
     x, y = dataI
@@ -38,3 +40,13 @@ with open("data.csv", 'wb') as csvfile:
                                 quotechar='"', quoting=csv.QUOTE_MINIMAL)
         for datapoint in data:
             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)