Now, let us have a look at how the closing values of YAHOO data look like.
Below defined is the plotter function which extracts the close values, reshapes the data into columnar data, and uses that to plots the data.
Copy-paste the code to view the closing prices visualized for YAHOO stock.
def plotter(code):
global closing_stock
plt.subplot(211)
company_close = modified_df[modified_df['symbol']==code]
company_close = company_close.close.values.astype('float32')
company_close = company_close.reshape(-1, 1)
closing_stock = company_close
plt.xlabel('Time')
plt.ylabel(code + " close stock prices")
plt.title('prices Vs Time')
plt.grid(True)
plt.plot(company_close , 'b')
plt.show()
plotter("YHOO")
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