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<pandas, Python, sentdex> Python Programming for Finance

pandas Python sentdex

www.youtube.com

やってみた。

In [1]: import datetime as dt

In [2]: import matplotlib.pyplot as plt

In [3]: from matplotlib import style

In [4]: import pandas as pd

In [5]: import pandas_datareader.data as web

In [6]: style.use('ggplot')

In [7]: s = dt.datetime(2000,1,1)

In [8]: e = dt.datetime(2016,12,31)

In [9]: df = web.DataReader('TSLA', 'yahoo', s, e)

In [10]: df.head()
Out[10]: 
                 Open   High        Low      Close    Volume  Adj Close
Date                                                                   
2010-06-29  19.000000  25.00  17.540001  23.889999  18766300  23.889999
2010-06-30  25.790001  30.42  23.299999  23.830000  17187100  23.830000
2010-07-01  25.000000  25.92  20.270000  21.959999   8218800  21.959999
2010-07-02  23.000000  23.10  18.709999  19.200001   5139800  19.200001
2010-07-06  20.000000  20.00  15.830000  16.110001   6866900  16.110001

ふーん、なるほど。

www.youtube.com

続いてその3もやった。

In [11]: df['100ma'] = df['Adj Close'].rolling(window=100, min_periods=0).mean()

In [12]: df.head()
Out[12]: 
                 Open   High        Low      Close    Volume  Adj Close  \
Date                                                                      
2010-06-29  19.000000  25.00  17.540001  23.889999  18766300  23.889999   
2010-06-30  25.790001  30.42  23.299999  23.830000  17187100  23.830000   
2010-07-01  25.000000  25.92  20.270000  21.959999   8218800  21.959999   
2010-07-02  23.000000  23.10  18.709999  19.200001   5139800  19.200001   
2010-07-06  20.000000  20.00  15.830000  16.110001   6866900  16.110001   

                100ma  
Date                   
2010-06-29  23.889999  
2010-06-30  23.860000  
2010-07-01  23.226666  
2010-07-02  22.220000  
2010-07-06  20.998000  

In [13]: ax1 = plt.subplot2grid((6,1), (0,0), rowspan=5, colspan=1)

In [14]: ax2 = plt.subplot2grid((6,1), (5,0), rowspan=1, colspan=1, sharex=ax1)

In [15]: ax1.plot(df.index, df['Adj Close'])
Out[15]: [<matplotlib.lines.Line2D at 0xb9c5c88>]

In [16]: ax1.plot(df.index, df['100ma'])
Out[16]: [<matplotlib.lines.Line2D at 0xb463f98>]

In [17]: ax2.bar(df.index, df['Volume'])
Out[17]: <Container object of 1640 artists>

In [18]: plt.show()

f:id:nekoyukimmm:20170228145110p:plain