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August 29, 2015 14:05
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kata - python data analysis
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| import sys | |
| import pandas as pd | |
| import matplotlib.pylab as plt | |
| pd.options.display.mpl_style = 'default' | |
| mpl_stylesheet = {'interactive':False} | |
| plt.rcParams.update(mpl_stylesheet) | |
| df = pd.read_csv( 'gold.csv') | |
| df.date = pd.to_datetime(df.date, format='%d/%M/%Y') | |
| df.set_index('date',inplace=True) | |
| df[sys.argv[1]:sys.argv[2]].price.plot(label='price', title='gold price over time') | |
| plt.legend(loc='best') | |
| plt.show() |
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Es mucho mas interesante de lo que pensaba el libro1. Gracias!