@@ -99,7 +99,7 @@ def _groupby_and_merge(by, on, left, right, _merge_pieces, check_duplicates=True
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left: left frame
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right: right frame
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_merge_pieces: function for merging
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- check_duplicates: boolean , default True
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+ check_duplicates: bool , default True
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should we check & clean duplicates
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"""
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@@ -339,9 +339,9 @@ def merge_asof(
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Field name to join on in left DataFrame.
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right_on : label
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Field name to join on in right DataFrame.
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- left_index : boolean
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+ left_index : bool
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Use the index of the left DataFrame as the join key.
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- right_index : boolean
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+ right_index : bool
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Use the index of the right DataFrame as the join key.
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by : column name or list of column names
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Match on these columns before performing merge operation.
@@ -352,10 +352,10 @@ def merge_asof(
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suffixes : 2-length sequence (tuple, list, ...)
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Suffix to apply to overlapping column names in the left and right
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side, respectively.
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- tolerance : integer or Timedelta, optional, default None
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+ tolerance : int or Timedelta, optional, default None
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Select asof tolerance within this range; must be compatible
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with the merge index.
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- allow_exact_matches : boolean , default True
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+ allow_exact_matches : bool , default True
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- If True, allow matching with the same 'on' value
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(i.e. less-than-or-equal-to / greater-than-or-equal-to)
@@ -1267,7 +1267,7 @@ def _get_join_indexers(left_keys, right_keys, sort=False, how="inner", **kwargs)
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----------
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left_keys: ndarray, Index, Series
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right_keys: ndarray, Index, Series
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- sort: boolean , default False
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+ sort: bool , default False
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how: string {'inner', 'outer', 'left', 'right'}, default 'inner'
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Returns
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