DataFrame

help(pd.concat)

Help on function concat in module pandas.tools.merge:

  
  
  
  

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

   
   
   
   

  
  
  
  
help(pd.concat)Help on function concat in module pandas.tools.merge:concat(objs, axis=0, join='outer', join_axes=None, ignore_index=False, keys=None, levels=None, names=None, verify_integrity=False, copy=True)    Concatenate pandas objects along a particular axis with optional set logic    along the other axes. Can also add a layer of hierarchical indexing on the    concatenation axis, which may be useful if the labels are the same (or    overlapping) on the passed axis number是按行組裝多個表格的    Parameters    ----------    objs : a sequence or mapping of Series, DataFrame, or Panel objects        If a dict is passed, the sorted keys will be used as the `keys`        argument, unless it is passed, in which case the values will be        selected (see below). Any None objects will be dropped silently unless        they are all None in which case a ValueError will be raised    axis : {0, 1, ...}, default 0        The axis to concatenate along    join : {'inner', 'outer'}, default 'outer'        How to handle indexes on other axis(es)    join_axes : list of Index objects        Specific indexes to use for the other n - 1 axes instead of performing        inner/outer set logic    verify_integrity : boolean, default False        Check whether the new concatenated axis contains duplicates. This can        be very expensive relative to the actual data concatenation    keys : sequence, default None        If multiple levels passed, should contain tuples. Construct        hierarchical index using the passed keys as the outermost level    levels : list of sequences, default None        Specific levels (unique values) to use for constructing a        MultiIndex. Otherwise they will be inferred from the keys    names : list, default None        Names for the levels in the resulting hierarchical index    ignore_index : boolean, default False        If True, do not use the index values along the concatenation axis. The        resulting axis will be labeled 0, ..., n - 1. This is useful if you are        concatenating objects where the concatenation axis does not have        meaningful indexing information. Note the index values on the other        axes are still respected in the join.    copy : boolean, default True        If False, do not copy data unnecessarily        Notes    -----    The keys, levels, and names arguments are all optional        Returns    -------    concatenated : type of objects

series 是一個有序的字典，所以索引便可是關鍵字，也但是下標序號

series 的索引不知是整數：

標籤名　標籤名的ｌｉst　標籤名的切片（尾端包含）

下標　下標的list　下標的切片（尾端不包含）

布爾型數組

即一個有　一個沒有的索引　運算和爲nan