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Method map

dask/dataframe/dask_expr/_collection.py:4724–4747  ·  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

4722
4723 @derived_from(pd.Index)
4724 def map(self, arg, na_action=None, meta=None, is_monotonic=False):
4725 """
4726 Note that this method clears any known divisions.
4727
4728 If your mapping function is monotonically increasing then use `is_monotonic`
4729 to apply the mapping function to the old divisions and assign the new
4730 divisions to the output.
4731
4732 """
4733 if isinstance(arg, Series):
4734 if not expr.are_co_aligned(self.expr, arg.expr):
4735 if meta is None:
4736 warnings.warn(meta_warning(meta, method="map"))
4737 return new_collection(
4738 expr.MapIndexAlign(self, arg, na_action, meta, is_monotonic)
4739 )
4740 if meta is None:
4741 meta = expr.emulate(M.map, self, arg, na_action=na_action, udf=True)
4742 warnings.warn(meta_warning(meta, method="map"))
4743 return new_collection(
4744 expr.Map(
4745 self, arg=arg, na_action=na_action, meta=meta, is_monotonic=is_monotonic
4746 )
4747 )
4748
4749 def __dir__(self):
4750 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