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import opengrid as og
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# list available datasets
og.datasets.list_available()
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# load the hourly gas consumption for 2016
df = og.datasets.get('gas_2016_hour')
df.info()
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%matplotlib inline
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = 12, 6
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# use the pandas wrapper for matplotlib plot
df.plot()
df.plot(subplots=True)
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# Create monthly data and plot
df_month = df.resample(rule='MS').sum()/1000 # from Wh to kWh
df_month.plot(kind='bar')
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