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I am new to Stack Overflow and Python as well. I am struggling to find if there is a way to save a plot or figure. Is this possible using this Pandas package? My plot displays ok and I am Python v 2.7.11. Code below and thanks 

#pg 73 from Python in Finance
import numpy as np
import pandas as pd
import pandas.io.data as web



sym1 = 'AAPL'
sym2 = 'FB'

symbol1 = web.DataReader(sym1, data_source='yahoo',start='1/1/2015', end='1/28/2016')
symbol2 = web.DataReader(sym2, data_source='yahoo',start='1/1/2015', end='1/28/2016')
ratio = symbol1; 
ratio['Close'] = symbol1['Close'] / symbol2['Close'];

#symbol1['Close'].plot(grid=True, figsize=(8, 5))
#symbol2['Close'].plot(grid=True, figsize=(8, 5))

ratio['Close'].plot(grid=True, figsize=(8, 5))

ratio['42d'] = np.round(pd.rolling_mean(ratio['Close'], window=42), 2)
ratio['252d'] = np.round(pd.rolling_mean(ratio['Close'], window=252), 2)
ratio[['Close', '42d', '252d']].plot(grid=True, figsize=(8, 5))
Bryan Downing
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    You can just drag the printout to your desktop. Or use savefig, ie. [one of many similar questions to yours](http://stackoverflow.com/q/16183462/896802). – samthebrand Jan 29 '16 at 04:27

2 Answers2

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pandas use matplotlib to draw so you can use this 

import matplotlib.pyplot as plt

plt.savefig('image.png') # save to png
plt.savefig('image.pdf') # save to pdf

in your code

#pg 73 from Python in Finance
import numpy as np
import pandas as pd
import pandas.io.data as web
import matplotlib.pyplot as plt

sym1 = 'AAPL'
sym2 = 'FB'

symbol1 = web.DataReader(sym1, data_source='yahoo',start='1/1/2015', end='1/28/2016')
symbol2 = web.DataReader(sym2, data_source='yahoo',start='1/1/2015', end='1/28/2016')
ratio = symbol1; 
ratio['Close'] = symbol1['Close'] / symbol2['Close'];

#symbol1['Close'].plot(grid=True, figsize=(8, 5))
#symbol2['Close'].plot(grid=True, figsize=(8, 5))

ratio['Close'].plot(grid=True, figsize=(8, 5))

ratio['42d'] = np.round(pd.rolling_mean(ratio['Close'], window=42), 2)
ratio['252d'] = np.round(pd.rolling_mean(ratio['Close'], window=252), 2)
ratio[['Close', '42d', '252d']].plot(grid=True, figsize=(8, 5))

plt.savefig('foo.png') # save to png
plt.savefig('foo.png') # save to pdf
# plt.show() shows image

EDIT: see: https://stackoverflow.com/a/25588487/1832058

You can use 

ax = df.plot() # your plot
fig = ax.get_figure()
fig.savefig('image.png')
Community
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furas
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import matplotlib.pyplot as plt

plt.savefig('image.png')
Danila Ganchar
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Rich
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