JupyterWF



In [1]:
%matplotlib inline

from jupyterwf.data import get_fremont_data

data =get_fremont_data()


data.resample('W').sum().plot()


Out[1]:
<matplotlib.axes._subplots.AxesSubplot at 0x7ff19e823320>

In [2]:
ax=data.resample('D').sum().rolling(365).sum().plot()
ax.set_ylim(0,None);



In [3]:
data.groupby(data.index.time).mean().plot();



In [4]:
pivoted = data.pivot_table('Total',index=data.index.time,columns=data.index.date)

In [5]:
pivoted.iloc[:5,:5]


Out[5]:
2012-10-03 2012-10-04 2012-10-05 2012-10-06 2012-10-07
00:00:00 13.0 18.0 11.0 15.0 11.0
01:00:00 10.0 3.0 8.0 15.0 17.0
02:00:00 2.0 9.0 7.0 9.0 3.0
03:00:00 5.0 3.0 4.0 3.0 6.0
04:00:00 7.0 8.0 9.0 5.0 3.0

In [6]:
pivoted.plot(legend=False,alpha=0.01)


Out[6]:
<matplotlib.axes._subplots.AxesSubplot at 0x7ff19b587d30>

In [ ]: