python - 如果所有列都为空字符串，则从 pandas 数据框中删除行

Question

我有一个数据框如下

    Name Age
0    Tom  20
1   nick  21
2           
3  krish  19
4   jack  18
5           
6   jill  26
7   nick

期望的输出是

    Name Age
0    Tom  20
1   nick  21
3  krish  19
4   jack  18
6   jill  26
7   nick

索引不应更改，如果可能的话，如果我不必将空字符串转换为 NaN 会更好。仅当所有列都有 '' 空字符串

时才应将其删除

Answer 1

你可以这样做:

# df.eq('') compare every cell of `df` to `''`
# .all(1) or .all(axis=1) checks if all cells on rows are True
# ~ is negate operator.
mask = ~df.eq('').all(1)

# equivalently, `ne` for `not equal`, 
# mask = df.ne('').any(axis=1)

# mask is a boolean series of same length with `df`
# this is called boolean indexing, similar to numpy's
# which chooses only rows corresponding to `True`
df = df[mask]

或者在一行中:

df = df[~df.eq('').all(1)]