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Method map

dask/dataframe/dask_expr/_collection.py:4727–4750  ·  view source on GitHub ↗

Note that this method clears any known divisions. If your mapping function is monotonically increasing then use `is_monotonic` to apply the mapping function to the old divisions and assign the new divisions to the output.

(self, arg, na_action=None, meta=None, is_monotonic=False)

Source from the content-addressed store, hash-verified

4725
4726 @derived_from(pd.Index)
4727 def map(self, arg, na_action=None, meta=None, is_monotonic=False):
4728 """
4729 Note that this method clears any known divisions.
4730
4731 If your mapping function is monotonically increasing then use `is_monotonic`
4732 to apply the mapping function to the old divisions and assign the new
4733 divisions to the output.
4734
4735 """
4736 if isinstance(arg, Series):
4737 if not expr.are_co_aligned(self.expr, arg.expr):
4738 if meta is None:
4739 warnings.warn(meta_warning(meta, method="map"))
4740 return new_collection(
4741 expr.MapIndexAlign(self, arg, na_action, meta, is_monotonic)
4742 )
4743 if meta is None:
4744 meta = expr.emulate(M.map, self, arg, na_action=na_action, udf=True)
4745 warnings.warn(meta_warning(meta, method="map"))
4746 return new_collection(
4747 expr.Map(
4748 self, arg=arg, na_action=na_action, meta=meta, is_monotonic=is_monotonic
4749 )
4750 )
4751
4752 def __dir__(self):
4753 o = set(dir(type(self)))

Callers 15

_divisionsMethod · 0.45
test_index_nullsFunction · 0.45
test_map_indexFunction · 0.45
test_series_map_metaFunction · 0.45
test_map_metaFunction · 0.45
test_mapFunction · 0.45
test_dataframe_mapFunction · 0.45

Calls 2

meta_warningFunction · 0.90
new_collectionFunction · 0.90

Tested by 15

test_index_nullsFunction · 0.36
test_map_indexFunction · 0.36
test_series_map_metaFunction · 0.36
test_map_metaFunction · 0.36
test_mapFunction · 0.36
test_dataframe_mapFunction · 0.36
test_index_nullsFunction · 0.36