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# cogent.align.weights.util.row_to_vote

All Samples(8)  |  Call(4)  |  Derive(0)  |  Import(4)

```from cogent.parse.tree import DndParser
from cogent.util.array import hamming_distance
from cogent.align.weights.util import Weights, number_of_pseudo_seqs,\
pseudo_seqs_exact, pseudo_seqs_monte_carlo, row_to_vote, distance_matrix,\
eigenvector_for_largest_eigenvalue, DNA_ORDER,RNA_ORDER,PROTEIN_ORDER,\
```
```        seq = array(seq, 'c')
temp = [hamming_distance(row, seq) for row in rows]
votes = row_to_vote(array(temp)) #change distances to votes
weights += votes #add to previous weights
weight_dict = Weights(dict(zip(aln_array.Names,weights)))
```
```        #profile to temp
temp = [seq_profiles[key].distance(r) for key in alignment.Names]
weight_dict = Weights(dict(zip(alignment.Names,weights)))
```

```from cogent.parse.tree import DndParser
from cogent.util.array import hamming_distance
from cogent.align.weights.util import Weights, number_of_pseudo_seqs,\
pseudo_seqs_exact, pseudo_seqs_monte_carlo, row_to_vote, distance_matrix,\
eigenvector_for_largest_eigenvalue, DNA_ORDER,RNA_ORDER,PROTEIN_ORDER,\
```
```        seq = array(seq, 'c')
temp = [hamming_distance(row, seq) for row in rows]
votes = row_to_vote(array(temp)) #change distances to votes
weights += votes #add to previous weights
weight_dict = Weights(dict(zip(aln_array.Names,weights)))
```
```        #profile to temp
temp = [seq_profiles[key].distance(r) for key in alignment.Names]
weight_dict = Weights(dict(zip(alignment.Names,weights)))
```

```from cogent.core.sequence import DnaSequence, RnaSequence
from cogent.core.moltype import DNA, RNA
from cogent.align.weights.util import Weights, number_of_pseudo_seqs,\
pseudo_seqs_exact, pseudo_seqs_monte_carlo, row_to_vote, distance_matrix,\
eigenvector_for_largest_eigenvalue, DNA_ORDER,RNA_ORDER,PROTEIN_ORDER,\
```

```from cogent.core.sequence import DnaSequence, RnaSequence