迭代大熊猫中的值

Question

i have a matrix in pandas

print reducedMatrix
       0      1     3      4
    1  2  99991     0      0
    2  0      4     0      1
    3  3      0  9991      2
    4  1      0     2  99989

and want to iterate over it and print i and j for zero values, I use:

for i,rows in reducedMatrix.iterrows():
        for j,cols in reducedMatrix.iteritems():
            if (reducedMatrix[i][j] == 0): #here we check all zero values
                print i,j

but it does not work

the expected output

1,3
1,4
2,0
2,3
3,0
4,1

It's essential to save row and col names

how do I achieve that?

Thanks in advance for any help!

Answer 1

I would recommend using numpy's where function.

np.where(df.values == 0)

will return the indices of rows and columns that match the condition. In order to retrieve the original row and column names:

rows, cols = np.where(df.values == 0)
list(zip(df.index[rows], df.columns[cols]))