cudf.Series.empty#

property Series.empty[source]#

Indicator whether DataFrame or Series is empty.

True if DataFrame/Series is entirely empty (no items), meaning any of the axes are of length 0.

Returns:
outbool

If DataFrame/Series is empty, return True, if not return False.

Examples

>>> import cudf
>>> df = cudf.DataFrame({'A' : []})
>>> df
Empty DataFrame
Columns: [A]
Index: []
>>> df.empty
True

If we only have null values in our DataFrame, it is not considered empty! We will need to drop the null’s to make the DataFrame empty:

>>> df = cudf.DataFrame({'A' : [None, None]})
>>> df
      A
0  <NA>
1  <NA>
>>> df.empty
False
>>> df.dropna().empty
True

Non-empty and empty Series example:

>>> s = cudf.Series([1, 2, None])
>>> s
0       1
1       2
2    <NA>
dtype: int64
>>> s.empty
False
>>> s = cudf.Series([])
>>> s
Series([], dtype: float64)
>>> s.empty
True

Pandas Compatibility Note

DataFrame.empty, Series.empty

If DataFrame/Series contains only null values, it is still not considered empty. See the example above.