cudf.DataFrame.reindex#

DataFrame.reindex(labels=None, axis=None, index=None, columns=None, copy=True)#

Return a new DataFrame whose axes conform to a new index

DataFrame.reindex supports two calling conventions:

(index=index_labels, columns=column_names)
(labels, axis={0 or 'index', 1 or 'columns'})

Parameters

labelsIndex, Series-convertible, optional, default None
axis{0 or ‘index’, 1 or ‘columns’}, optional, default 0
indexIndex, Series-convertible, optional, default None: Shorthand for df.reindex(labels=index_labels, axis=0)
columnsarray-like, optional, default None: Shorthand for df.reindex(labels=column_names, axis=1)
copyboolean, optional, default True

Returns

A DataFrame whose axes conform to the new index(es)

Examples

>>> import cudf
>>> df = cudf.DataFrame()
>>> df['key'] = [0, 1, 2, 3, 4]
>>> df['val'] = [float(i + 10) for i in range(5)]
>>> df_new = df.reindex(index=[0, 3, 4, 5],
...                     columns=['key', 'val', 'sum'])
>>> df
   key   val
0    0  10.0
1    1  11.0
2    2  12.0
3    3  13.0
4    4  14.0
>>> df_new
   key   val   sum
0     0  10.0  <NA>
3     3  13.0  <NA>
4     4  14.0  <NA>
5  <NA>  <NA>  <NA>

cudf.DataFrame.equals

cudf.DataFrame.rename