【数据分析可视化】股票市场分析实战之数据获取

股票数据来源雅虎

数据抓取

安装抓取环境

https://github.com/pydata/pandas-datareader

pip下载 pip install pandas-datareader

可以不通过命令直接安装

代码语言：javascript复制

bin/conda install pandas_datareader

使用datareader获取雅虎

``` import pandas_datareader as pdr pdr.get_data_fred(‘GS10’)

代码语言：javascript复制

## 数据预览
```python
import pandas_datareader as pdr
# 获取阿里股票数据
alibaba = data = pdr.get_data_yahoo('BABA')

代码语言：javascript复制

data.head()

	High	Low	Open	Close	Volume	Adj Close
Date
2015-05-11	87.669998	86.059998	86.699997	86.720001	19776900	86.720001
2015-05-12	87.500000	86.139999	87.050003	86.769997	16077800	86.769997
2015-05-13	88.470001	87.000000	87.080002	87.529999	19015900	87.529999
2015-05-14	88.480003	87.529999	87.739998	88.400002	12087900	88.400002
2015-05-15	88.959999	88.050003	88.510002	88.459999	13424600	88.459999

代码语言：javascript复制

alibaba.shape

代码语言：javascript复制

(1259, 6)

代码语言：javascript复制

alibaba.tail()

	High	Low	Open	Close	Volume	Adj Close
Date
2020-05-04	195.000000	189.529999	194.759995	191.149994	25709400	191.149994
2020-05-05	198.270004	194.199997	196.380005	195.020004	22957200	195.020004
2020-05-06	198.910004	194.929993	197.669998	195.169998	18598900	195.169998
2020-05-07	198.089996	194.779999	198.000000	196.490005	16164600	196.490005
2020-05-08	203.020004	198.679993	199.800003	201.190002	23819700	201.190002

代码语言：javascript复制

 alibaba.describe()

	High	Low	Open	Close	Volume	Adj Close
count	1259.000000	1259.000000	1259.000000	1259.000000	1.259000e 03	1259.000000
mean	141.759526	138.353728	140.171177	140.087427	1.671934e 07	140.087427
std	48.532706	47.441216	48.067582	47.999745	9.014614e 06	47.999745
min	58.650002	57.200001	57.299999	57.389999	3.775300e 06	57.389999
25%	90.514999	88.485001	89.110001	89.090000	1.098520e 07	89.090000
50%	156.000000	151.600006	154.320007	154.100006	1.476290e 07	154.100006
75%	182.567505	177.989998	180.660004	180.495003	1.996240e 07	180.495003
max	231.139999	227.039993	230.050003	230.479996	9.791410e 07	230.479996

代码语言：javascript复制

alibaba.info()

代码语言：javascript复制

<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 1259 entries, 2015-05-11 to 2020-05-08
Data columns (total 6 columns):
High         1259 non-null float64
Low          1259 non-null float64
Open         1259 non-null float64
Close        1259 non-null float64
Volume       1259 non-null int64
Adj Close    1259 non-null float64
dtypes: float64(5), int64(1)
memory usage: 68.9 KB

date volume

0 人点赞

【数据分析可视化】 股票市场分析实战之数据获取

股票数据来源雅虎

数据抓取

安装抓取环境

使用datareader获取雅虎

【数据分析可视化】股票市场分析实战之数据获取