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Python 2021-10-13 02:20:05
sparse matrix representation python use
import numpy as np from scipy.sparse import csr_matrix # create a 2-D representation of the matrix A = np.array([[1, 0, 0, 0, 0, 0], [0, 0, 2, 0, 0, 1],\ [0, 0, 0, 2, 0, 0]]) print("Dense matrix representation: \n", A) # convert to sparse mat... Add solution -
Python 2021-09-10 16:03:03
how to convert a dense matrix into sparse matrix in python
# dense to sparse from numpy import array from scipy.sparse import csr_matrix # create dense matrix A = array([[1, 0, 0, 1, 0, 0], [0, 0, 2, 0, 0, 1], [0, 0, 0, 2, 0, 0]]) print(A) # convert to sparse matrix (CSR method) S = csr_matrix(A) print(S) # recon... Add solution -
Python 2021-09-06 23:39:02
todense()
from sklearn.feature_extraction.text import TfidfVectorizer tfidf = TfidfVectorizer(stop_words='english') description = df['tokens'].astype(str) dtm = tfidf.fit_transform(description) dtm = pd.DataFrame(dtm.todense(), columns = tfidf.get_feature_nam... Add solution