dfshape1

dfshape1 is a term used in data science documentation and tutorials to refer to a conventional, example dataframe shape. It is not a standard library object or a universally defined data type; rather, it serves as a simple reference point for discussing dataframe operations and shape.

In its common usage, dfshape1 denotes a dataframe with one row and multiple columns, i.e., a 1 by n shape. This setup highlights column-wise attributes while keeping row count minimal, making it useful for illustrating selection, alignment, and column-oriented operations. Some guides may vary the exact interpretation, but the idea of a compact, easily manageable frame remains central.

Creating dfshape1 typically involves constructing a dataframe with a single row, such that each column holds a single value. The resulting data structure carries a shape attribute of (1, n), where n is the number of columns. This form is convenient for demonstrating how operations target individual columns or compare across columns, as well as for teaching concepts like broadcasting and transposition.

Applications of dfshape1 in tutorials include illustrating shape inspection, indexing by column, transposing a frame to switch rows and columns, and performing column-wise aggregations or comparisons. It serves as a straightforward example when explaining fundamental dataframe behaviors without the complexity of larger datasets.

See also: DataFrame, shape attribute, transpose, column operations, data alignment.