pandas小節 pandas繪圖

import numpy as np
import pandas as pd
import	pandas_datareader.data	as	web
import matplotlib.pyplot as plt
           

all_data = {ticker:web.get_data_yahoo(ticker) for ticker in	['AAPL', 'IBM',	'MSFT',	'GOOG']}
price = pd.DataFrame({ticker:	data['Adj Close'] for ticker, data in all_data.items()})
volume	= pd.DataFrame({ticker:data['Volume'] for ticker, data in all_data.items()})
returns	= price.pct_change()
returns.tail()
           

AAPL	IBM	MSFT	GOOG
Date
2020-06-08	0.005912	0.027942	0.006197	0.005715
2020-06-09	0.031578	-0.028582	0.007645	0.006602
2020-06-10	0.025728	-0.015166	0.037092	0.006654
2020-06-11	-0.048010	-0.091322	-0.053698	-0.042303
2020-06-12	0.008634	0.033048	0.007892	0.006653

import	seaborn	as	sns
           

obj= np.random.normal(0,1,size=100)
obj2 = np.random.normal(10,2,size=100)
           

<matplotlib.axes._subplots.AxesSubplot at 0x236f2f88908>
           

<matplotlib.axes._subplots.AxesSubplot at 0x236ec07c5c0>
           

<matplotlib.axes._subplots.AxesSubplot at 0x236f11105f8>
           

sns.regplot('AAPL',	'IBM',	data=price)
plt.title('Changes in log %s versus log %s' % ('AAPL','IBM'))
           

Text(0.5, 1.0, 'Changes in log AAPL versus log IBM')