Saving Data

The best way to save Dataset is through the method Dataset.to_pickle(). Likewise, you can load saved Dataset with the pandas function read_pickle().

Below we create and save a dataset

In [1]: import BPt as bp

In [2]: data = bp.Dataset()

In [3]: data['a1'] = [1, 2, 3]

In [4]: data['a2'] = [1, 2, 3]

In [5]: data['t'] = [1, 1, 1]

In [6]: data = data.add_scope('a', 'custom_scope')

In [7]: data['custom_scope']
Out[7]: 
   a1  a2
0   1   1
1   2   2
2   3   3

In [8]: data.to_pickle('my_data.pkl')

In [9]: del data

Now we can try loading it:

In [10]: data = bp.read_pickle('my_data.pkl')

In [11]: data['custom_scope']
Out[11]: 
   a1  a2
0   1   1
1   2   2
2   3   3

And delete it when we are done

In [12]: import os

In [13]: os.remove('my_data.pkl')