python - pandas delete the 0 appears most times -

i have dataframe this:

a   b   c   d 1   0   0   0 0   1   0   7 5   2   0   4 6   3   0   0 0   0   8   8 0   7   7   7 0   0   0   1

1: fow each row, if counts of 0 >90% of column counts(in case: mean: 0.9*4 ), delete row.

2: fow each column, if counts of 0 >90% of row counts(in case: mean: 0.9*7 ), delete column.

i guess want like:

mask_rows = pd.dataframe.sum(df == 0, axis=1) > 0.9*len(df.columns) mask_cols = pd.dataframe.sum(df == 0, axis=0) > 0.9*len(df.columns)

this creates mask following interpretation of question...

M16