pandas.Index.repeat   Index.repeat(repeats, axis=None)[source]
 
Repeat elements of a Index. Returns a new Index where each element of the current Index is repeated consecutively a given number of times.  Parameters 
 
repeats:int or array of ints


The number of repetitions for each element. This should be a non-negative integer. Repeating 0 times will return an empty Index.  
axis:None


Must be None. Has no effect but is accepted for compatibility with numpy.    Returns 
 
repeated_index:Index


Newly created Index with repeated elements.      See also  Series.repeat

Equivalent function for Series.  numpy.repeat

Similar method for numpy.ndarray.    Examples 
>>> idx = pd.Index(['a', 'b', 'c'])
>>> idx
Index(['a', 'b', 'c'], dtype='object')
>>> idx.repeat(2)
Index(['a', 'a', 'b', 'b', 'c', 'c'], dtype='object')
>>> idx.repeat([1, 2, 3])
Index(['a', 'b', 'b', 'c', 'c', 'c'], dtype='object')
  


    
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