Descriptive#

Series.chunk_lengths()

Get the length of each individual chunk.

Series.describe([percentiles, interpolation])

Quick summary statistics of a Series.

Series.estimated_size([unit])

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

Series.has_validity()

Return True if the Series has a validity bitmask.

Series.is_boolean()

Check if this Series is a Boolean.

Series.is_duplicated()

Get mask of all duplicated values.

Series.is_empty()

Check if the Series is empty.

Series.is_finite()

Returns a boolean Series indicating which values are finite.

Series.is_first()

Return a boolean mask indicating the first occurrence of each distinct value.

Series.is_first_distinct()

Return a boolean mask indicating the first occurrence of each distinct value.

Series.is_float()

Check if this Series has floating point numbers.

Series.is_in(other)

Check if elements of this Series are in the other Series.

Series.is_infinite()

Returns a boolean Series indicating which values are infinite.

Series.is_integer([signed])

Check if this Series datatype is an integer (signed or unsigned).

Series.is_last()

Return a boolean mask indicating the last occurrence of each distinct value.

Series.is_last_distinct()

Return a boolean mask indicating the last occurrence of each distinct value.

Series.is_nan()

Returns a boolean Series indicating which values are not NaN.

Series.is_not_nan()

Returns a boolean Series indicating which values are not NaN.

Series.is_not_null()

Returns a boolean Series indicating which values are not null.

Series.is_null()

Returns a boolean Series indicating which values are null.

Series.is_numeric()

Check if this Series datatype is numeric.

Series.is_sorted(*[, descending])

Check if the Series is sorted.

Series.is_temporal([excluding])

Check if this Series datatype is temporal.

Series.is_unique()

Get mask of all unique values.

Series.is_utf8()

Check if this Series datatype is a String.

Series.len()

Return the number of elements in the Series.

Series.lower_bound()

Return the lower bound of this Series' dtype as a unit Series.

Series.n_chunks()

Get the number of chunks that this Series contains.

Series.n_unique()

Count the number of unique values in this Series.

Series.null_count()

Count the null values in this Series.

Series.unique_counts()

Return a count of the unique values in the order of appearance.

Series.upper_bound()

Return the upper bound of this Series' dtype as a unit Series.

Series.value_counts(*[, sort, parallel])

Count the occurrences of unique values.