bigframes.pandas.DataFrame.transpose#

DataFrame.transpose() → DataFrame[source]#

Transpose index and columns.

Reflect the DataFrame over its main diagonal by writing rows as columns and vice-versa. The property T is an accessor to the method transpose().

All columns must be the same dtype (numerics can be coerced to a common supertype).

Examples:

Square DataFrame with homogeneous dtype

>>> d1 = {'col1': [1, 2], 'col2': [3, 4]}
>>> df1 = bpd.DataFrame(data=d1)
>>> df1
   col1  col2
0     1     3
1     2     4

[2 rows x 2 columns]

>>> df1_transposed = df1.T  # or df1.transpose()
>>> df1_transposed
      0  1
col1  1  2
col2  3  4

[2 rows x 2 columns]

When the dtype is homogeneous in the original DataFrame, we get a transposed DataFrame with the same dtype:

>>> df1.dtypes
col1    Int64
col2    Int64
dtype: object
>>> df1_transposed.dtypes
0    Int64
1    Int64
dtype: object

Returns:

The transposed DataFrame.

Return type:

bigframes.pandas.DataFrame