【資料分析可視化】 股票市場分析實戰之資料擷取

股票資料來源雅虎

資料抓取

安裝抓取環境

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

pip下載下傳

pip install pandas-datareader

bin/conda install pandas_datareader

           

使用datareader擷取雅虎

## 資料預覽
```python
import pandas_datareader as pdr
# 擷取阿裡股票資料
alibaba = data = pdr.get_data_yahoo('BABA')
           

data.head() 
           

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

alibaba.shape
           

(1259, 6)
           

alibaba.tail()
           

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

alibaba.describe()
           

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

alibaba.info()
           

<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