pandas.DataFrame

1. 使用DataFrame

from pandas as pd

2. 创建DataFrame对象

参考: http://www.cnblogs.com/jinhaolin/p/5980932.html

参考: http://blog.csdn.net/u014607457/article/details/51290582

dates = ['2017-08-01', '2017-08-02', '2017-08-03', '2017-08-04']
d = {
    'a': [1, 2, 3, 4],
    'b': [11, 12, 13, 14],
    'c': ['a', 'b', 'c', 'd']
}
df = pd.DataFrame(d, index=dates, columns=['a', 'b', 'c'])

 

2.1 通过tushare获得DataFrame对象

df = ts.get_tick_data('000001', date='2017-09-01')

OK, 我们就拿df对象来演示

 

3. 一个df是由n个pandas.core.series.Series对象构成。

type(df.time)  ==> pandas.core.series.Series

type(a.price.values) ==> numpy.ndarray

 

4. reindex

reindex重新修改索引的(顺序)，

DOC: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.reindex.html