help(pd.concat)

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

1. help(pd.concat)
2. Help on function concat in module pandas.tools.merge:
3. concat(objs, axis=0, join='outer', join_axes=None, ignore_index=False, keys=None, levels=None, names=None, verify_integrity=False, copy=True)
4.    Concatenate pandas objects along a particular axis with optional set logic
5.    along the other axes. Can also add a layer of hierarchical indexing on the
6.    concatenation axis, which may be useful if the labels are the same (or
7.    overlapping) on the passed axis number
8. 是按行组装多个表格的
9.    Parameters
10.    ----------
11.    objs : a sequence or mapping of Series, DataFrame, or Panel objects
12.        If a dict is passed, the sorted keys will be used as the `keys`
13.        argument, unless it is passed, in which case the values will be
14.        selected (see below). Any None objects will be dropped silently unless
15.        they are all None in which case a ValueError will be raised
16.    axis : {
    0, 1, ...}, default 0
17.        The axis to concatenate along
18.    join : {
    'inner', 'outer'}, default 'outer'
19.        How to handle indexes on other axis(es)
20.    join_axes : list of Index objects
21.        Specific indexes to use for the other n - 1 axes instead of performing
22.        inner/outer set logic
23.    verify_integrity : boolean, default False
24.        Check whether the new concatenated axis contains duplicates. This can
25.        be very expensive relative to the actual data concatenation
26.    keys : sequence, default None
27.        If multiple levels passed, should contain tuples. Construct
28.        hierarchical index using the passed keys as the outermost level
29.    levels : list of sequences, default None
30.        Specific levels (unique values) to use for constructing a
31.        MultiIndex. Otherwise they will be inferred from the keys
32.    names : list, default None
33.        Names for the levels in the resulting hierarchical index
34.    ignore_index : boolean, default False
35.        If True, do not use the index values along the concatenation axis. The
36.        resulting axis will be labeled 0, ..., n - 1. This is useful if you are
37.        concatenating objects where the concatenation axis does not have
38.        meaningful indexing information. Note the index values on the other
39.        axes are still respected in the join.
40.    copy : boolean, default True
41.        If False, do not copy data unnecessarily
42.    
43.    Notes
44.    -----
45.    The keys, levels, and names arguments are all optional
46.    
47.    Returns
48.    -------
49.    concatenated : type of objects

series 是一个有序的字典，因此索引即可是关键字，也可是下标序号

series 的索引不知是整数：

标签名　标签名的ｌｉst　标签名的切片（尾端包含）

下标　下标的list　下标的切片（尾端不包含）

布尔型数组

即一个有　一个没有的索引　运算和为nan