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Reshaping a Pandas dataframe into a sparse matrix
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import pandas as pd | |
import scipy.sparse as sps | |
df = pd.DataFrame({'tag1': ['sean', 'udi', 'bogdan'], 'tag2': ['sean', 'udi', 'udi'], 'freq': [1,2,3]}) | |
# tag1 -> rows, tag2 -> columns | |
df.set_index(['tag1', 'tag2'], inplace=True) | |
mat = sps.coo_matrix((df.freq, (df.index.labels[0], df.index.labels[1]))) | |
print(mat.todense()) |
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