65106299a6514d849453339381d4cec2aa741268,python/examples/hypertools_demo-PPCA.py,,,#,6

Before Change

data1 = np.cumsum(np.random.multivariate_normal(np.zeros(10), K, 250), axis=0)
data2 = copy(data1)
sample_inds = np.random.choice(data2.shape[0], data2.shape[0]*.1)
for sample in sample_inds:
    data2[sample,:]=np.nan

print(data2[sample,0])
hyp.plot([data1,data2])

After Change

data2 = copy(data1)

missing = .1
inds = [(i,j) for i in range(data2.shape[0]) for j in range(data2.shape[1])]
missing_data = [inds[i] for i in np.random.choice(len(inds), len(inds)*missing)]
for i,j in missing_data:
    data2[i,j]=np.nan

hyp.plot([data1,data2],linestyle=["-",":"])

Instances