How can I filter a Dask DataFrame?

How can I filter a Dask DataFrame?

You can filter a Dask DataFrame using boolean indexing. For example, if you have a DataFrame df, you can filter it like this: df[df['column_name'] > value].

Can I filter based on multiple conditions?

Yes, you can use the & operator for 'and' conditions and the | operator for 'or' conditions. For example: df[(df['col1'] > value1) & (df['col2'] < value2)].

What if I want to filter using a function?

You can use the map_partitions method to apply a function across partitions. For example: df.map_partitions(lambda df: df[df['column_name'] > value]).

Is there a way to filter and compute at the same time?

Yes, you can chain operations. For instance, you can filter and then compute the mean: df[df['column_name'] > value].mean().