cf.FieldList.transpose

FieldList.transpose(axes=None, i=False, **kwargs)[source]

For each field, permute the axes of the data array.

By default the order of the axes is reversed, but any ordering may be specified by selecting the axes of the output in the required order.

For each field, the axes are selected with the axes parameter.

See also

expand_dims, flip, squeeze, transpose, unsqueeze

Examples 1:

Reverse the order of the axes:

>>> g = f.transpose()

Specify a particular axes order:

>>> g = f.transpose(['T', 'X', 'Y'])

See also

axes, expand_dims, flip, squeeze, unsqueeze

Parameters:
axes, kwargs: optional

Select axes. The axes parameter may be one, or a sequence, of:

  • None. If no kwargs arguments have been set then all axes are selected. This is the default.

  • An integer. Explicitly selects the axis corresponding to the given position in the list of axes of the field’s data array.

    Example:

    To select the third data array axis: axes=2. To select the last axis: axes=-1.

  • A slice object. Explicitly selects the axes corresponding to the given positions in the list of axes of the field’s data array.

    Example:

    To select the last three data array axes: axes=slice(-3, None)

  • A domain axis identifier. Explicitly selects this axis.

    Example:

    To select axis “dim1”: axes='dim1'.

  • Any value accepted by the items parameter of the field’s items method. Used in conjunction with the kwargs parameters to select the axes which span the items that would be identified by this call of the field’s items method: f.items(items=axes, axes=None, **kwargs). See cf.Field.items for details.

    Example:

    To select the axes spanned by one dimensionsal time coordinates: f.transpose('T', ndim=1).

If axes is a sequence of any combination of the above then the selected axes are the union of those selected by each element of the sequence. If the sequence is empty then no axes are selected.

i: bool, optional

If True then update the field list in place. By default a new field list is created. In either case, a field list is returned.
Returns:
out: cf.FieldList

For each field, , the transposed field.
Examples 2: 
>>> f.items()
{'dim0': <CF DimensionCoordinate: time(12) noleap>,
 'dim1': <CF DimensionCoordinate: latitude(64) degrees_north>,
 'dim2': <CF DimensionCoordinate: longitude(128) degrees_east>,
 'dim3': <CF DimensionCoordinate: height(1) m>}
>>> f.data_axes()
['dim0', 'dim1', 'dim2']
>>> f.transpose()
>>> f.transpose(['Y', 'T', 'X'])
>>> f.transpose(['latitude', 'time', 'longitude'])
>>> f.transpose([1, 0, 2])
>>> f.transpose((1, 'time', 'dim2'))