BUG: max()/min() don't work on DataFrames constructed from scipy sparse matrix #40921
Description
Example:
import pandas as pd from scipy import sparse as sc import numpy as np np.random.seed(42) a = np.random.randint(0, 10, size=(200, 5)) a_sp = sc.coo_matrix(a) a_sp_pd = pd.DataFrame.sparse.from_spmatrix(a_sp) a_sp_pd.max()Expected output:
0 9 1 9 2 9 3 9 4 9 dtype: int64 Actual output:
Series([], dtype: float64) System info:
- numpy [required: >=1.17, installed: 1.20.2] - scipy [required: >=0.19.1, installed: 1.6.2] - pandas [required: >=1.0.0,<=1.1.4, installed: 1.2.4]