Descriptive#

DataFrame.approx_n_unique()

Approximate count of unique values.

DataFrame.describe([percentiles, interpolation])

Summary statistics for a DataFrame.

DataFrame.estimated_size([unit])

Return an estimation of the total (heap) allocated size of the DataFrame.

DataFrame.glimpse(*[, max_items_per_column, ...])

Return a dense preview of the DataFrame.

DataFrame.is_duplicated()

Get a mask of all duplicated rows in this DataFrame.

DataFrame.is_empty()

Returns True if the DataFrame contains no rows.

DataFrame.is_unique()

Get a mask of all unique rows in this DataFrame.

DataFrame.n_chunks([strategy])

Get number of chunks used by the ChunkedArrays of this DataFrame.

DataFrame.n_unique([subset])

Return the number of unique rows, or the number of unique row-subsets.

DataFrame.null_count()

Create a new DataFrame that shows the null counts per column.