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Getting Started
Installing nested-pandas
Contribution Guide
Quickstart Guide
Tutorials
Loading Data into Nested-Pandas
Fine Data Manipulation with Nested-Pandas
Lower-level interfaces
Using Nested-Pandas with Astronomical Spectra
Using GroupBy with Nested-Pandas
Using Numba JIT with Nested-Pandas map_rows
API Reference
NestedFrame
NestedFrame
nested_columns
base_columns
all_columns
join_nested
nest_lists
from_flat
from_lists
get_subcolumns
eval
query
dropna
sort_values
map_rows
drop
min
max
describe
explode
fillna
to_parquet
to_pandas
read_parquet
from_pyarrow
NestedSeries
NestedSeries
len
to_lists
explode
.nest Accessor
NestSeriesAccessor
len
to_lists
to_flat
to_flatten_inner
set_column
set_flat_column
set_list_column
set_filled_column
drop
query
Utility Functions
count_nested
generate_data
generate_parquet_file
NestedDtype
NestedDtype
construct_array_type
construct_from_string
from_columns
from_pandas_arrow_dtype
to_pandas_arrow_dtype
Nested Extension Array
NestedExtensionArray
dtype
nbytes
list_array
struct_array
pa_table
list_offsets
field_names
list_lengths
flat_length
num_chunks
to_numpy
isna
take
copy
equals
dropna
from_sequence
to_arrow_ext_array
to_pyarrow_scalar
get_list_index
iter_field_lists
view_fields
set_flat_field
set_list_field
fill_field_lists
pop_fields
is_input_pa_type_supported
Packer Functions
pack
pack_flat
pack_seq
pack_lists
About Nested-Pandas
Internal Representation of Nested Data
Performance Impact of Nested-Pandas
.rst
.pdf
len
Contents
NestSeriesAccessor.len()
len
#
NestSeriesAccessor.
len
(
)
→
list
[
int
]
[source]
#
Lengths of the list arrays
Contents
NestSeriesAccessor.len()