@@ -124,22 +124,22 @@ Markdown(
124124#### Basic calling convention
125125
126126``` {code-cell} ipython3
127- afs = ts.allele_frequency_spectrum ()
128- print(afs ) # afs[1] gives number of singletons, afs[2] doubletons, etc
127+ pi = ts.diversity ()
128+ print(pi ) # Genetic diversity within the sample set
129129```
130130
131131#### Restrict to {ref}` sample sets<sec_stats_sample_sets> `
132132
133133``` {code-cell} ipython3
134- pi = ts.diversity(sample_sets=ts.samples(population=0))
135- print(pi ) # Genetic diversity within population 0
134+ pi_0 = ts.diversity(sample_sets=ts.samples(population=0))
135+ print(pi_0 ) # Genetic diversity within population 0
136136```
137137
138138#### Summarise in genomic {ref}` windows<sec_stats_windows> `
139139
140140``` {code-cell} ipython3
141- pi = ts.diversity(sample_sets=ts.samples(population=1), windows=[0, 400, 600, 1000])
142- print(pi ) # Genetic diversity within population 1 in three windows along the genome
141+ pi_window = ts.diversity(sample_sets=ts.samples(population=1), windows=[0, 400, 600, 1000])
142+ print(pi_window ) # Genetic diversity within population 1 in three windows along the genome
143143```
144144
145145#### Compare {ref}` between<sec_stats_sample_sets_multi_way> ` sample sets
@@ -238,7 +238,7 @@ the `node` statistics return one number **for each node** in the tree sequence (
238238There can be a lot of nodes in the tree sequence, so beware.
239239
240240Also remember that in a tree sequence the "sites" are usually just the ** variant** sites,
241- e.g., the sites of the SNPs. Although tree sequence may in principle have monomorphic
241+ e.g., the sites of the SNPs. Although the tree sequence may in principle have monomorphic
242242sites, those produced by simulation usually don't.
243243
244244
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