Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
390 views
in Technique[技术] by (71.8m points)

python - Convert sparse matrix (csc_matrix) to pandas dataframe

I want to convert this matrix into a pandas dataframe. csc_matrix

The first number in the bracket should be the index, the second number being columns and the number in the end being the data.

I want to do this to do feature selection in text analysis, the first number represents the document, the second being the feature of word and the last number being the TFIDF score.

Getting a dataframe helps me to transform the text analysis problem into data analysis.

See Question&Answers more detail:os

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Reply

0 votes
by (71.8m points)
from scipy.sparse import csc_matrix

csc = csc_matrix(np.array(
    [[0, 0, 4, 0, 0, 0],
     [1, 0, 0, 0, 2, 0],
     [2, 0, 0, 1, 0, 0],
     [0, 0, 0, 0, 0, 1],
     [4, 0, 3, 2, 0, 0]]))

# Return a Coordinate (coo) representation of the Compresses-Sparse-Column (csc) matrix.
coo = csc.tocoo(copy=False)

# Access `row`, `col` and `data` properties of coo matrix.
>>> pd.DataFrame({'index': coo.row, 'col': coo.col, 'data': coo.data}
                 )[['index', 'col', 'data']].sort_values(['index', 'col']
                 ).reset_index(drop=True)
   index  col  data
0      0    2     4
1      1    0     1
2      1    4     2
3      2    0     2
4      2    3     1
5      3    5     1
6      4    0     4
7      4    2     3
8      4    3     2

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
OGeek|极客中国-欢迎来到极客的世界,一个免费开放的程序员编程交流平台!开放,进步,分享!让技术改变生活,让极客改变未来! Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

...