datascience.tables.Table.to_df

Table.to_df()

Convert the table to a Pandas DataFrame.

Args:

None

Returns:

The Pandas DataFrame of the table

It just converts the table to Pandas DataFrame so that we can use DataFrame instead of the table at some required places.

Here’s an example of using the to_df() method:

>>> table = Table().with_columns({'name': ['abc', 'xyz', 'uvw'],
... 'age': [12,14,20],
... 'height': [5.5,6.0,5.9],
... })

>>> table
name | age  | height
abc  | 12   | 5.5
xyz  | 14   | 6
uvw  | 20   | 5.9

>>> table_df = table.to_df()

>>> table_df
  name  age  height
0  abc   12     5.5
1  xyz   14     6.0
2  uvw   20     5.9

>>> type(table)
<class 'datascience.tables.Table'>

>>> type(table_df)
<class 'pandas.core.frame.DataFrame'>