Demonstration of Use Case

Users can enter step by step explanations of changes made to a SciSheet in a Jupyter notebook

Load necessary packages



In [1]:

    
import json

import numpy as np
import pandas as pd

from jupyter_scisheets_widget import scisheets_widget

Load data into the notebook



In [2]:

    
income_data = pd.read_csv('income_data.csv', sep=';')
income_data



In [3]:

    
tbl2 = scisheets_widget.HandsonDataFrame(income_data)
tbl2.show()









    





 
 










    



data is being changed
data is being changed



In [5]:

    
tbl2._df



In [6]:

    
tbl2._widget._model_data









    Out[6]:





u'[["04000US01","Alabama",37150,37952,42212,44476,39980,40933,42590,43464,41381],["04000US02","Alaska",55891,"kjknsdf",62993,63989,61604,57848,57431,63648,61137],["04000US04","Arizona",45245,46657,47215,46914,45739,46896,48621,47044,50602],["04000US05","Arkansas",36658,37057,40795,39586,36538,"sdf",41302,39018,39919],["04000US06","California",51755,55319,55734,57014,56134,54283,53367,57020,57528]]'



In [7]:

    
tbl2._widget._model_header









    Out[7]:





u'["GEOID","State","2005","2006","2007","2008","2009","2010","2011","2012","2013"]'



In [ ]:

	GEOID	State	2005	2006	2007	2008	2009	2010	2011	2012	2013
0	04000US01	Alabama	37150	37952	42212	44476	39980	40933	42590	43464	41381
1	04000US02	Alaska	55891	56418	62993	63989	61604	57848	57431	63648	61137
2	04000US04	Arizona	45245	46657	47215	46914	45739	46896	48621	47044	50602
3	04000US05	Arkansas	36658	37057	40795	39586	36538	38587	41302	39018	39919
4	04000US06	California	51755	55319	55734	57014	56134	54283	53367	57020	57528

Demonstration of Use Case

Load necessary packages

Load data into the notebook

Display the loaded data as a scisheet widget