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Time Series Data - matplotlib series

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	`1`	`+Date,Open,High,Low,Close,Adj Close,Volume`
	`2`	`+2019年05月18日,7266.080078,8281.660156,7257.259766,8193.139648,8193.139648,723011166`
	`3`	`+2019年05月19日,8193.139648,8193.139648,7591.850098,7998.290039,7998.290039,637617163`
	`4`	`+2019年05月20日,7998.290039,8102.319824,7807.770020,7947.930176,7947.930176,357803946`
	`5`	`+2019年05月21日,7947.930176,8033.759766,7533.660156,7626.890137,7626.890137,424501866`
	`6`	`+2019年05月22日,7626.890137,7971.259766,7478.740234,7876.500000,7876.500000,386766321`
	`7`	`+2019年05月23日,7876.500000,8165.450195,7801.569824,7996.399902,7996.399902,413162746`
	`8`	`+2019年05月24日,7996.399902,8140.819824,7948.680176,8059.129883,8059.129883,179206342`
	`9`	`+2019年05月25日,8059.129883,8779.000000,7894.529785,8726.230469,8726.230469,483663699`
	`10`	`+2019年05月26日,8726.230469,8931.530273,8668.459961,8785.169922,8785.169922,507164714`
	`11`	`+2019年05月27日,8785.169922,8818.709961,8562.200195,8718.849609,8718.849609,360752199`
	`12`	`+2019年05月28日,8718.849609,8760.480469,8444.099609,8664.559570,8664.559570,380343928`
	`13`	`+2019年05月29日,8664.559570,9065.889648,8027.209961,8276.250000,8276.250000,815525590`
	`14`	`+2019年05月30日,8276.250000,8570.780273,8116.000000,8560.080078,8560.080078,500141087`
	`15`	`+2019年05月31日,8550.629883,8576.339844,8459.650391,8504.980469,8504.980469,69915456`

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	`1`	`+from matplotlib import pyplot as plt`
	`2`	`+from matplotlib import dates as mpl_dates`
	`3`	`+import pandas as pd`
	`4`	`+`
	`5`	`+plt.style.use('seaborn')`
	`6`	`+`
	`7`	`+data = pd.read_csv('data.csv')`
	`8`	`+`
	`9`	`+data['Date'] = pd.to_datetime(data['Date'])`
	`10`	`+data.sort_values('Date', inplace=True)`
	`11`	`+`
	`12`	`+price_date = data['Date']`
	`13`	`+price_close = data['Close']`
	`14`	`+`
	`15`	`+plt.plot_date(price_date, price_close, linestyle='solid')`
	`16`	`+plt.gcf().autofmt_xdate()`
	`17`	`+`
	`18`	`+plt.title('Bitcoin Prices')`
	`19`	`+plt.xlabel('Date')`
	`20`	`+plt.ylabel('Closing Price')`
	`21`	`+plt.tight_layout()`
	`22`	`+`
	`23`	`+plt.savefig('plot.png')`
	`24`	`+plt.show()`

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