Drop row in pandas dataframe if any value in the row equals zero

Question

How do I drop a row if any of the values in the row equal zero?

I would normally use df.dropna() for NaN values but not sure how to do it with \"0\" values.

Answer 1

You could make a boolean frame and then use any:

>>> df = pd.DataFrame([[1,0,2],[1,2,3],[0,1,2],[4,5,6]])
>>> df
   0  1  2
0  1  0  2
1  1  2  3
2  0  1  2
3  4  5  6
>>> df == 0
       0      1      2
0  False   True  False
1  False  False  False
2   True  False  False
3  False  False  False
>>> df = df[~(df == 0).any(axis=1)]
>>> df
   0  1  2
1  1  2  3
3  4  5  6