python

packages/python/examples/plot.yap

@@ -5,9 +5,35 @@ main :-
 	    Plt = matplotlib.pyplot,
 	:= import( Plt ),
 	:= (
-	    Plt.figure(figsize=(10,2.5))
+	    Plt.figure(figsize=(10,2.5)),
 	    Plt.plot([1,2,3,4]),
 	    Plt.ylabel(`some numbers`),
 	    Plt.show()
 	   ).
 
+
+main2 :-
+:= (	import( numpy),
+import( matplotlib.mlab),
+import( matplotlib.pyplot) ),
+NP = numpy,
+Mlab = matplotlib.mlab,
+Plt = matplotlib.pyplot,
+
+% example data
+mu := 100,  % mean of distribution,
+sigma := 15,  % standard deviation of distribution,
+x := mu + sigma * NP.random.randn(10000),
+
+num_bins := 50,
+% the histogram of the data
+(n, bins, patches) := Plt.hist(x, num_bins, normed=1, facecolor= `green`, alpha=0.5),
+% add a `best fit` line
+y := Mlab.normpdf(bins, mu, sigma),
+:= (Plt.plot(bins, y, `r--`),
+Plt.xlabel(`Smarts`),
+Plt.ylabel(`Probability`),
+Plt.title(`Histogram of IQ: $\\mu=100$, $\\sigma=15$`),
+% Tweak spacing to prevent clipping of ylabel,
+Plt.subplots_adjust(left=0.15),
+Plt.show()).