numpy之填充为nan的数据为该列平均值

# coding=utf-8
import numpy as np

'''
填充nan的数据，为该列的平均值
'''
def fill_ndarray(t1):
    for i in range(t1.shape[1]):
        temp_col = t1[:,i]  #取每一列
        print(temp_col)
        nan_num =np.count_nonzero(temp_col!=temp_col) #判断该列存在不为0的数个数
        if( nan_num != 0 ):
            temp_not_nan_col = temp_col[temp_col==temp_col]
            temp_col[np.isnan(temp_col)] = temp_not_nan_col.mean()
    return t1

if __name__ == '__main__':
    t1 = np.random.randint(10, 18, (3, 4)).astype(float)
    print(t1)

    t1[1, 2:] = np.nan

    print(t1)
    t2 = fill_ndarray(t1)
    print(t2)