def evolve_some_pops(w):
print ("starting!")
N=1000
rng = fp.GSLrng(101)
pops = fp.SpopVec(10,N)
nlist = np.array([N]*(10*N),dtype=np.uint32)
sampler = fp.NothingSampler(len(pops))
fp.evolve_regions_sampler_fitness(rng,pops,sampler,w,nlist,0.,0.0025,0.01,n,s,r,0)
dips1 = fp.view_diploids(pops,[0,1,2,3,4,5])
for i in dips1[0]:
print (i['w'])
for i in smuts:
if len(i) > 0:
smutsdf = pd.concat([smutsdf, pd.DataFrame(i, index=[ind] * len(i))])
ind += 1
# In[11]:
smutsdf.head()
# That's much better. We can use the index to figure out which individual has which mutations, and their effect sizes, etc.
#
# Finally, we can also take views of diploids. Let's get the first two diploids in each population:
# In[12]:
dips = [fp.view_diploids(i, [0, 1]) for i in pops]
# Again, the format here is ugly. Each diploid view is a dictionary:
# In[13]:
for key in dips[0][0]:
print(key)
# The values are:
#
# * chrom0, chrom1 are gamete views, just like what we dealt with above
# * g = genetic component of phenotype
# * e = random component of phenotype
# * w = fitness
# * n0 and n1 are the number of selected variants on chrom0 and chrom1, respectively.
smutsdf = pd.concat([smutsdf,pd.DataFrame(i,index=[ind]*len(i))])
ind += 1
# In[11]:
smutsdf.head()
# That's much better. We can use the index to figure out which individual has which mutations, and their effect sizes, etc.
#
# Finally, we can also take views of diploids. Let's get the first two diploids in each population:
# In[12]:
dips = [fp.view_diploids(i,[0,1]) for i in pops]
# Again, the format here is ugly. Each diploid view is a dictionary:
# In[13]:
for key in dips[0][0]:
print(key)
# The values are:
#
# * chrom0, chrom1 are gamete views, just like what we dealt with above
# * g = genetic component of phenotype
# * e = random component of phenotype
def testException1(self):
with self.assertRaises(IndexError):
fwdpy.view_diploids(pops[0],[pops[0].popsize()])
def testBigDips(self):
temp = fwdpy.view_diploids(pops[0],list(range(pops[0].popsize())))
self.assertEqual(len(temp),pops[0].popsize())
def testDipsize(self):
dips_single = fwdpy.view_diploids(pops[0],[0,1,2])
self.assertEqual(len(dips_single),3)
def testException1(self):
with self.assertRaises(IndexError):
fwdpy.view_diploids(pops[0], [pops[0].popsize()])
def testBigDips(self):
temp = fwdpy.view_diploids(pops[0], list(range(pops[0].popsize())))
self.assertEqual(len(temp), pops[0].popsize())
def testDipsize(self):
dips_single = fwdpy.view_diploids(pops[0], [0, 1, 2])
self.assertEqual(len(dips_single), 3)
