left : DataFrame
right : DataFrame
on : label
Field name to join on. Must be found in both DataFrames. The data MUST be ordered. Furthermore this must be a numeric column, such as datetimelike, integer, or float. On or left_on/right_on must be given.
left_on : label
Field name to join on in left DataFrame.
right_on : label
Field name to join on in right DataFrame.
left_index : boolean
Use the index of the left DataFrame as the join key.
New in version 0.19.2.
right_index : boolean
Use the index of the right DataFrame as the join key.
New in version 0.19.2.
by : column name or list of column names
Match on these columns before performing merge operation.
left_by : column name
Field names to match on in the left DataFrame.
New in version 0.19.2.
right_by : column name
Field names to match on in the right DataFrame.
New in version 0.19.2.
suffixes : 2-length sequence (tuple, list, ...)
Suffix to apply to overlapping column names in the left and right side, respectively.
tolerance : integer or Timedelta, optional, default None
Select asof tolerance within this range; must be compatible with the merge index.
allow_exact_matches : boolean, default True
- If True, allow matching with the same ‘on’ value (i.e. less-than-or-equal-to / greater-than-or-equal-to)
- If False, don’t match the same ‘on’ value (i.e., stricly less-than / strictly greater-than)
direction : ‘backward’ (default), ‘forward’, or ‘nearest’
Whether to search for prior, subsequent, or closest matches.
New in version 0.20.0.
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