dask.dataframe.Series.sample

dask.dataframe.Series.sample¶

Series.sample(n=None, frac=None, replace=False, random_state=None)¶

Random sample of items

Parameters

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) * frac items 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 np.random.RandomState: If an int, we create a new RandomState with this as the seed; Otherwise we draw from the passed RandomState.