Module utils

Re-exports

• pub use arrow;
• pub use rayon;

Modules

• flatten

Structs

• NoNull
  Just a wrapper structure which is useful for certain impl specializations.
• SuperTypeFlags
• SuperTypeOptions
• TrustMyLength
• Wrap

Traits

• Container
• CustomIterTools
• CustomIterToolsSized
• FromTrustedLenIterator
• IntoVec
  Convenience for x.into_iter().map(Into::into).collect() using an into_vec() function.

Functions

• _set_partition_size
• accumulate_dataframes_horizontal
• accumulate_dataframes_vertical
  This takes ownership of the DataFrame so that drop is called earlier.
• accumulate_dataframes_vertical_unchecked
  This takes ownership of the DataFrame so that drop is called earlier. Does not check if schema is correct
• accumulate_dataframes_vertical_unchecked_optional
• align_chunks_binary
  Ensure the chunks in both ChunkedArrays have the same length.
• align_chunks_ternary
  Panics
• any_values_to_supertype
  Determine the supertype of a collection of AnyValue.
• any_values_to_supertype_and_n_dtypes
  Determine the supertype and the number of unique data types of a collection of AnyValue.
• binary_concatenate_validities
• coalesce_nulls
  ensure that nulls are propagated to both arrays
• coalesce_nulls_columns
• concat_df
  Concat the DataFrames to a single DataFrame.
• concat_df_unchecked
  Concat the DataFrames to a single DataFrame.
• dtypes_to_schema
  Convert a collection of DataType into a schema.
• dtypes_to_supertype
  Given multiple data types, determine the data type that all types can safely be cast to.
• get_numeric_upcast_supertype_lossless
  Returns a numeric supertype that l and r can be safely upcasted to if it exists.
• get_supertype
• get_supertype_with_options
  Given two data types, determine the data type that both types can safely be cast to.
• get_time_units
• handle_casting_failures
• materialize_dyn_int
• merge_dtypes_many
• operation_exceeded_idxsize_msg
• slice_slice
• split
  Splits, but doesn’t flatten chunks. E.g. a container can still have multiple chunks.
• split_and_flatten
  Split a Container in target elements. The target doesn’t have to be respected if not Deviation of the target might be done to create more equal size chunks.
• split_df_as_ref
  Split a DataFrame in target elements. The target doesn’t have to be respected if not strict. Deviation of the target might be done to create more equal size chunks.
• try_get_supertype
  Given two data types, determine the data type that both types can safely be cast to.
• try_get_supertype_with_options
• with_unstable_series
  A utility that allocates an AmortSeries. The applied function can then use that series container to save heap allocations and swap arrow arrays.