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Add magic partition_info keyword to dd.map_partitions function #3707

@mrocklin

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@mrocklin

In dask.array we allow user provided functions to get a special keyword, block_info with information about the array and where the block that they're operating in that array lives:

dask/dask/array/core.py

Lines 656 to 674 in 5b2ecf4

Your block function get information about where it is in the array by
accepting a special ``block_info`` keyword argument.
>>> def func(block, block_info=None):
... pass
This will receive the following information:
>>> block_info # doctest: +SKIP
{0: {'shape': (1000,),
'num-chunks': (10,),
'chunk-location': (4,),
'array-location': [(400, 500)]}}
For each argument and keyword arguments that are dask arrays (the positions
of which are the first index), you will receive the shape of the full
array, the number of chunks of the full array in each dimension, the chunk
location (for example the fourth chunk over in the first dimension), and
the array location (for example the slice corresponding to ``40:50``).

We might consider doing the same for dask.dataframe.map_partitions. We have a bit less information to provide, but can probably include:

  1. The number of partitions in the dataframe
  2. Which partition we're on specifically

This requires using the dask.base.has_keyword function to inspect the user provided function, and then manipulating the task graph a bit to add the extra keyword argument.

Inspired by this stack overflow question: https://stackoverflow.com/questions/51135739/how-to-modify-values-on-specific-dask-dataframe-partiton

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