- Index.sample(n=None, frac=None, replace=False, random_state=None)¶
Random sample of items
- nint, optional
Number of items to return is not supported by dask. Use frac instead.
- fracfloat, optional
Approximate fraction of items to return. This sampling fraction is applied to all partitions equally. Note that this is an approximate fraction. You should not expect exactly
len(df) * fracitems to be returned, as the exact number of elements selected will depend on how your data is partitioned (but should be pretty close in practice).
- replaceboolean, optional
Sample with or without replacement. Default = False.
- random_stateint or
If an int, we create a new RandomState with this as the seed; Otherwise we draw from the passed RandomState.