Descriptive#

Series.chunk_lengths()

Get the length of each individual chunk.

Series.describe()

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_datelike()

Check if this Series datatype is datelike.

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()

Get a mask of the first unique 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_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_unique()

Get mask of all unique values.

Series.is_utf8()

Check if this Series datatype is a Utf8.

Series.len()

Length of this 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.value_counts([sort])

Count the unique values in a Series.