导入数据：
import tushare as ts
df=ts.get_k_data('300038', start='2018-01-01')
print(df.head(5))
数据：
date open close high low volume code
0 2018-05-14 15.57 15.57 16.88 15.57 713429.0 300038
1 2018-05-15 15.31 14.82 15.32 14.23 626289.0 300038
2 2018-05-16 14.38 15.12 15.44 14.30 640795.0 300038
3 2018-05-17 14.97 14.11 14.97 13.71 596847.0 300038
4 2018-05-18 14.20 13.66 14.34 13.51 378173.0 300038
*** 设置索引为日期序列
df = df.set_index(pd.to_datetime(df['date']))
df.drop('date', axis=1, inplace=True)
*** 查询上涨超过4%
print(df[(df['close'] - df['open'])/df['close'] > 0.04])
**** 查询上涨超过4%的日期
print(df[(df['close'] - df['open'])/df['close'] > 0.04].index)
*** 最后一天收盘价
print(df['close'].values[-1])
*** 股价分月加和，显示最后一天
print(df.resample('M').sum())
*** 每月第一天股价
print(df.resample('MS').first())
*** 每年第一天股价
print(df.resample('YS').first())
print(df.resample('AS').first())
*** 每年最后一天股价
print(df.resample('Y').first())
print(df.resample('A').first())
print(df.resample('Y').first()[:-1]) #最近一年还没到最后一天，去掉