Jupyter Data Science Workflow



In [1]:

    
import matplotlib.pyplot as plt
%matplotlib inline
plt.style.use('seaborn-notebook')



In [2]:

    
from jupyterworkflow.data import get_fremont_data



In [3]:

    
data = get_fremont_data()



In [4]:

    
data.plot();



In [5]:

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



In [6]:

    
ax = data.resample('D').sum().rolling(365).sum().plot();
ax.set_ylim(0, None);



In [7]:

    
data.groupby(data.index.time).sum().plot();



In [8]:

    
pivoted = data.pivot_table('Total', index = data.index.time, columns = data.index.date)



In [9]:

    
pivoted.iloc[:5,:5]



In [10]:

    
pivoted.plot(legend=False, alpha = 0.01);



In [11]:



In [ ]:

	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