In [1]:
#SKIP_COMPARE_OUTPUT
import pixiedust
In [2]:
data = [(2010, 'Camping Equipment', 3),
(2010, 'Golf Equipment', 1),
(2010, 'Mountaineering Equipment', 1),
(2010, 'Outdoor Protection', 2),
(2010, 'Personal Accessories', 2),
(2011, 'Camping Equipment', 4),
(2011, 'Golf Equipment', 5),
(2011, 'Mountaineering Equipment',2),
(2011, 'Outdoor Protection', 4),
(2011, 'Personal Accessories', 2),
(2012, 'Camping Equipment', 5),
(2012, 'Golf Equipment', 5),
(2012, 'Mountaineering Equipment', 3),
(2012, 'Outdoor Protection', 5),
(2012, 'Personal Accessories', 3),
(2013, 'Camping Equipment', 8),
(2013, 'Golf Equipment', 5),
(2013, 'Mountaineering Equipment', 3),
(2013, 'Outdoor Protection', 8),
(2013, 'Personal Accessories', 4)]
columns = ["year","zone","unique_customers"]
In [3]:
#TARGET=SPARK
sqlContext = SQLContext(sc)
dd = sqlContext.createDataFrame( data, columns)
dd.count()
Out[3]:
In [4]:
#TARGET=PLAIN
import pandas
dd = pandas.DataFrame( data, columns=columns )
In [ ]:
#SKIP_COMPARE_OUTPUT
display(dd, no_gen_tests='true')
In [6]:
display(dd,cell_id='2850507A33444756801B43A74E3E6A56',no_gen_tests='true',showLegend='true',staticFigure='false',aggregation='SUM',rowCount='100',handlerId='pieChart',valueFields='unique_customers',rendererId='matplotlib',stacked='true',keyFields='zone',nostore_cw='1098',nostore_pixiedust='true',nostore_bokeh='false',prefix='ae087e77')
In [7]:
display(dd,cell_id='2850507A33444756801B43A74E3E6A56',no_gen_tests='true',showLegend='true',staticFigure='false',aggregation='SUM',rowCount='100',handlerId='barChart',valueFields='unique_customers',rendererId='matplotlib',stacked='true',keyFields='zone',nostore_cw='1098',nostore_pixiedust='true',nostore_bokeh='false',prefix='2e7ed979')
In [8]:
import pandas
d = {'col1': [None, 2, 1, 7, 1], 'col2': [6, None, 5, 9, 3], 'col3': ['ice cream', 'cookies', None, 'cake', 'pie']}
pdf2 = pandas.DataFrame(data=d)
pdf2.shape[0]
Out[8]:
In [9]:
display(pdf2,nostore_bokeh='false',cell_id='20499543AE4446FAA9707357577DE951',table_showrows='All',org_params='nostore_pixiedust',prefix='4046ac43',nostore_cw='1098',handlerId='tableView',nostore_vh='1050',nostore_pixiedust='true')
In [10]:
display(pdf2,nostore_bokeh='false',cell_id='20499543AE4446FAA9707357577DE951',table_showrows='Missing values',org_params='nostore_pixiedust',prefix='446b0b5f',nostore_cw='1098',handlerId='tableView',nostore_vh='1050',nostore_pixiedust='true')
In [11]:
display(pdf2,nostore_bokeh='false',cell_id='20499543AE4446FAA9707357577DE951',table_showrows='Not missing values',org_params='nostore_pixiedust',prefix='0923d868',nostore_cw='1098',handlerId='tableView',nostore_vh='1050',nostore_pixiedust='true')
In [12]:
#TARGET=SPARK
d = [(1, 3, 'pie'), (None, 6, 'ice cream'), (2, None, 'cookies'), (1, 5, None), (7, 9, 'cake')]
pdf = sqlContext.createDataFrame(d, ['col1', 'col2', 'col3'])
pdf.count()
Out[12]:
In [13]:
#TARGET=SPARK
display(pdf,nostore_bokeh='false',cell_id='20499543AE4446FAA9707357577DE951',table_showrows='Not missing values',org_params='nostore_pixiedust',prefix='a148c8f6',nostore_cw='1098',handlerId='tableView',nostore_vh='1050',nostore_pixiedust='true')
In [14]:
#TARGET=SPARK
display(pdf,nostore_bokeh='false',cell_id='20499543AE4446FAA9707357577DE951',table_showrows='Missing values',org_params='nostore_pixiedust',prefix='a4c4be27',nostore_cw='1098',handlerId='tableView',nostore_vh='1050',nostore_pixiedust='true')
In [15]:
#TARGET=SPARK
display(pdf,nostore_bokeh='false',cell_id='20499543AE4446FAA9707357577DE951',org_params='nostore_pixiedust',prefix='49fe4045',nostore_cw='1098',handlerId='tableView',nostore_vh='1050',nostore_pixiedust='true')