other : DataFrame, Series with name field set, or list of DataFrame
Index should be similar to one of the columns in this one. If a Series is passed, its name attribute must be set, and that will be used as the column name in the resulting joined DataFrame
on : column name, tuple/list of column names, or array-like
Column(s) in the caller to join on the index in other, otherwise joins index-on-index. If multiples columns given, the passed DataFrame must have a MultiIndex. Can pass an array as the join key if not already contained in the calling DataFrame. Like an Excel VLOOKUP operation
how : {‘left’, ‘right’, ‘outer’, ‘inner’}, default: ‘left’
How to handle the operation of the two objects.
- left: use calling frame’s index (or column if on is specified)
- right: use other frame’s index
- outer: form union of calling frame’s index (or column if on is specified) with other frame’s index, and sort it lexicographically
- inner: form intersection of calling frame’s index (or column if on is specified) with other frame’s index, preserving the order of the calling’s one
lsuffix : string
Suffix to use from left frame’s overlapping columns
rsuffix : string
Suffix to use from right frame’s overlapping columns
sort : boolean, default False
Order result DataFrame lexicographically by the join key. If False, the order of the join key depends on the join type (how keyword)
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