paguro.Dataset.is_unique - Paguro

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Paguro

paguro.Dataset.is_unique

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bernardodionisi/paguro

Installation
Tutorials
API

Paguro

bernardodionisi/paguro

Installation
Installation
- Getting Started
Tutorials
Tutorials
- User Guide
API
API
- Validation
  Validation
- Dataset
  Dataset
  - C Dataset
    
    Dataset
    
    Constructors
    
    Constructors
    
    M __init__
    
    Validation + Model
    
    Validation + Model
    
    Validation
    
    Validation
    
    M with_validation
    
    P validation
    
    M validate
    
    Model
    
    Model
    
    P vcol
    
    P model
    
    M with_model
    
    M without_model
    
    M collect_model_blueprint
    
    Information
    
    Information
    
    M with_info
    
    M with_name
    
    EDA
    
    EDA
    
    M skim
    
    Export
    
    Export
    
    M to_polars
    
    M to_dataframe
    
    M to_lazyframe
    
    Polars Methods
    
    Polars Methods
    
    Adapted
    
    Adapted
    
    M write_parquet
    
    M lazy
    
    M group_by
    
    M group_by_dynamic
    
    M rolling
    
    M join
    
    M join_asof
    
    M join_where
    
    M merge_sorted
    
    M vstack
    
    M rename
    
    Delegated
    
    Delegated
    
    M set_sorted
    
    M approx_n_unique
    
    M bottom_k
    
    M cast
    
    M clear
    
    M clone
    
    M collect_schema
    
    P columns
    
    M corr
    
    M count
    
    M describe
    
    M drop
    
    M drop_in_place
    
    M drop_nans
    
    M drop_nulls
    
    P dtypes
    
    M equals
    
    M estimated_size
    
    M explode
    
    M extend
    
    M fill_nan
    
    M fill_null
    
    M filter
    
    P flags
    
    M fold
    
    M gather_every
    
    M get_column
    
    M get_column_index
    
    M get_columns
    
    M glimpse
    
    M hash_rows
    
    M head
    
    P height
    
    M hstack
    
    M insert_column
    
    M interpolate
    
    M is_duplicated
    
    M is_empty
    
    M is_unique
    
    M item
    
    M iter_columns
    
    M iter_rows
    
    M iter_slices
    
    M limit
    
    M map_columns
    
    M map_rows
    
    M match_to_schema
    
    M max
    
    M max_horizontal
    
    M mean
    
    M mean_horizontal
    
    M median
    
    M melt
    
    M min
    
    M min_horizontal
    
    M n_chunks
    
    M n_unique
    
    M null_count
    
    M partition_by
    
    M pipe
    
    M pivot
    
    P plot
    
    M product
    
    M quantile
    
    M rechunk
    
    M remove
    
    M replace_column
    
    M reverse
    
    M row
    
    M rows
    
    M rows_by_key
    
    M sample
    
    P schema
    
    M select
    
    M select_seq
    
    P shape
    
    M shift
    
    M shrink_to_fit
    
    M slice
    
    M sort
    
    M sql
    
    M std
    
    P style
    
    M sum
    
    M sum_horizontal
    
    M tail
    
    M top_k
    
    M transpose
    
    M unique
    
    M unnest
    
    M unpivot
    
    M unstack
    
    M update
    
    M upsample
    
    M var
    
    P width
    
    M with_columns
    
    M with_columns_seq
    
    M with_row_count
    
    M with_row_index
    
    M write_avro
    
    M write_clipboard
    
    M write_csv
    
    M write_database
    
    M write_delta
    
    M write_excel
    
    M write_iceberg
    
    M write_ipc
    
    M write_ipc_stream
    
    M write_json
    
    M write_ndjson
    
    M to_arrow
    
    M to_dict
    
    M to_dicts
    
    M to_dummies
    
    M to_init_repr
    
    M to_jax
    
    M to_numpy
    
    M to_pandas
    
    M to_series
    
    M to_struct
    
    M to_torch
  - C LazyDataset
    
    LazyDataset
    
    Constructors
    
    Constructors
    
    M __init__
    
    Validation + Model
    
    Validation + Model
    
    Validation
    
    Validation
    
    M with_validation
    
    Model
    
    Model
    
    M without_model
    
    Export
    
    Export
    
    M to_polars
    
    Polars Methods
    
    Polars Methods
    
    Adapted
    
    Adapted
    
    M sink_parquet
    
    M collect
    
    M group_by
    
    M group_by_dynamic
    
    M rolling
    
    M join
    
    M join_asof
    
    M join_where
    
    M merge_sorted
    
    M rename
    
    Delegated
    
    Delegated
    
    M set_sorted
    
    M lazy
    
    M approx_n_unique
    
    M bottom_k
    
    M cache
    
    M cast
    
    M clear
    
    M clone
    
    M collect_async
    
    M collect_batches
    
    M collect_schema
    
    P columns
    
    M count
    
    M describe
    
    M drop
    
    M drop_nans
    
    M drop_nulls
    
    P dtypes
    
    M explain
    
    M explode
    
    M fetch
    
    M fill_nan
    
    M fill_null
    
    M filter
    
    M first
    
    M gather_every
    
    M head
    
    M inspect
    
    M interpolate
    
    M last
    
    M limit
    
    M map_batches
    
    M match_to_schema
    
    M max
    
    M mean
    
    M median
    
    M melt
    
    M min
    
    M null_count
    
    M pipe
    
    M pipe_with_schema
    
    M profile
    
    M quantile
    
    M remote
    
    M remove
    
    M reverse
    
    P schema
    
    M select
    
    M select_seq
    
    M shift
    
    M show_graph
    
    M sink_batches
    
    M sink_csv
    
    M sink_ipc
    
    M sink_ndjson
    
    M slice
    
    M sort
    
    M sql
    
    M std
    
    M sum
    
    M tail
    
    M top_k
    
    M unique
    
    M unnest
    
    M unpivot
    
    M update
    
    M var
    
    P width
    
    M with_columns
    
    M with_columns_seq
    
    M with_context
    
    M with_row_count
    
    M with_row_index
    
    Properties
    
    Properties
    
    P vcol
    
    P model
    
    Methods
    
    Methods
    
    M with_model
    
    M with_info
    
    M with_name
- Collection
  Collection
  - C Collection
    
    Collection
    
    Constructors
    
    Constructors
    
    M __init__
    
    Config
    
    Config
    
    M set_scope
    
    M set_scope_by_index
    
    Delegated
    
    Delegated
    
    M set_sorted
    
    M approx_n_unique
    
    M bottom_k
    
    M cast
    
    M clear
    
    M clone
    
    M collect_model_blueprint
    
    M collect_schema
    
    M corr
    
    M count
    
    M describe
    
    M drop
    
    M drop_in_place
    
    M drop_nans
    
    M drop_nulls
    
    M equals
    
    M estimated_size
    
    M explode
    
    M extend
    
    M fill_nan
    
    M fill_null
    
    M filter
    
    M fold
    
    M gather_every
    
    M get_column
    
    M get_column_index
    
    M get_columns
    
    M glimpse
    
    M hash_rows
    
    M head
    
    M hstack
    
    M insert_column
    
    M interpolate
    
    M is_duplicated
    
    M is_empty
    
    M is_unique
    
    M item
    
    M iter_columns
    
    M iter_rows
    
    M iter_slices
    
    M limit
    
    M map_columns
    
    M map_rows
    
    M match_to_schema
    
    M max
    
    M max_horizontal
    
    M mean
    
    M mean_horizontal
    
    M median
    
    M melt
    
    M merge_sorted
    
    M min
    
    M min_horizontal
    
    M n_chunks
    
    M n_unique
    
    M null_count
    
    M partition_by
    
    M pipe
    
    M pivot
    
    M product
    
    M quantile
    
    M rechunk
    
    M remove
    
    M rename
    
    M replace_column
    
    M reverse
    
    M row
    
    M rows
    
    M rows_by_key
    
    M sample
    
    M select
    
    M select_seq
    
    M shift
    
    M shrink_to_fit
    
    M skim
    
    M slice
    
    M sort
    
    M sql
    
    M std
    
    M sum
    
    M sum_horizontal
    
    M tail
    
    M top_k
    
    M transpose
    
    M unique
    
    M unnest
    
    M unpivot
    
    M unstack
    
    M update
    
    M upsample
    
    M var
    
    M vstack
    
    M with_columns
    
    M with_columns_seq
    
    M with_name
    
    M with_row_count
    
    M with_row_index
    
    M without_model
    
    M to_arrow
    
    M to_dataframe
    
    M to_dummies
    
    M to_init_repr
    
    M to_jax
    
    M to_lazyframe
    
    M to_numpy
    
    M to_pandas
    
    M to_polars
    
    M to_series
    
    M to_struct
    
    M to_torch
    
    Methods
    
    Methods
    
    M lazy
    
    M items
    
    M keys
    
    M values
    
    M concat
    
    M group_by
    
    M join
    
    Properties
    
    Properties
    
    P columns
    
    P dtypes
    
    P flags
    
    P height
    
    P model
    
    P plot
    
    P schema
    
    P shape
    
    P style
    
    P vcol
    
    P width
    
    Export
    
    Export
    
    M to_dict
  - C LazyCollection
    
    LazyCollection
    
    Constructors
    
    Constructors
    
    M __init__
    
    Delegated
    
    Delegated
    
    M set_sorted
    
    M collect
    
    M approx_n_unique
    
    M bottom_k
    
    M cache
    
    M cast
    
    M clear
    
    M clone
    
    M collect_async
    
    M collect_batches
    
    M collect_model_blueprint
    
    M collect_schema
    
    M count
    
    M describe
    
    M drop
    
    M drop_nans
    
    M drop_nulls
    
    M explain
    
    M explode
    
    M fetch
    
    M fill_nan
    
    M fill_null
    
    M filter
    
    M first
    
    M gather_every
    
    M head
    
    M inspect
    
    M interpolate
    
    M last
    
    M limit
    
    M map_batches
    
    M match_to_schema
    
    M max
    
    M mean
    
    M median
    
    M melt
    
    M merge_sorted
    
    M min
    
    M null_count
    
    M pipe
    
    M pipe_with_schema
    
    M profile
    
    M quantile
    
    M remote
    
    M remove
    
    M rename
    
    M reverse
    
    M select
    
    M select_seq
    
    M shift
    
    M show_graph
    
    M skim
    
    M slice
    
    M sort
    
    M sql
    
    M std
    
    M sum
    
    M tail
    
    M top_k
    
    M unique
    
    M unnest
    
    M unpivot
    
    M update
    
    M var
    
    M with_columns
    
    M with_columns_seq
    
    M with_context
    
    M with_name
    
    M with_row_count
    
    M with_row_index
    
    M without_model
    
    M to_dataframe
    
    M to_lazyframe
    
    M to_polars
    
    Properties
    
    Properties
    
    P columns
    
    P dtypes
    
    P model
    
    P schema
    
    P vcol
    
    P width
- …
  …
  - Validation
    
    Validation
    
    Base Models
    
    Base Models
    
    C VFrameModel
    
    Validators
    
    Validators
    
    C ValidColumn
    
    ValidColumn
    
    Settings
    
    Settings
    
    M with_name
    
    Validation
    
    Validation
    
    M validate
    
    Methods
    
    Methods
    
    M gather_predicates
    
    Information
    
    Information
    
    M with_info
    
    Export
    
    Export
    
    M serialize
    
    M to_schema
    
    C ValidFrame
    
    ValidFrame
    
    Settings
    
    Settings
    
    M with_name
    
    M with_columns_policy
    
    Information
    
    Information
    
    M with_info
    
    Transformations
    
    Transformations
    
    M transform
    
    Validation
    
    Validation
    
    M validate
    
    Methods
    
    Methods
    
    M gather_predicates
    
    C ValidRelations
    
    ValidRelations
    
    Validation
    
    Validation
    
    M validate
    
    Exceptions
    
    Exceptions
    
    ValidationError
  - Read/Scan
    
    Read/Scan
    
    Read
    
    Read
    
    F read_parquet
    
    F read_ipc
    
    F read_avro
    
    F read_csv
    
    F read_database_uri
    
    F read_delta
    
    F read_json
    
    F read_excel
    
    F read_ndjson
    
    F read_ods
    
    Scan
    
    Scan
    
    F scan_parquet
    
    F scan_ipc
    
    F scan_csv
    
    F scan_delta
    
    F scan_ndjson
    
    F scan_iceberg
    
    F scan_pyarrow_dataset
  - Utilities
    
    Utilities
    
    C Config
    
    Config
    
    Constructors
    
    Constructors
    
    M __init__
    
    Display
    
    Display
    
    M set_dataset_ashi_repr
    
    Representation
    
    Representation
    
    M set_width_chars
    
    M set_styled
    
    Validation
    
    Validation
    
    M set_auto_validation_mode
    
    M set_auto_validation_limit
    
    Settings
    
    Settings
    
    M load
    
    M load_from_file
    
    M restore_defaults
    
    M save
    
    M save_to_file
    
    M state
    
    Special methods
    
    Special methods
    
    M __call__
    
    F show_versions
  - Typing
    
    Typing
    
    V ValidationMode
    
    V ValidatorOrExpr
    
    V IntoValidators
    
    V IntoValidation
    
    V FieldsValidators
    
    V IntoKeepColumns
    
    V OnSuccess
    
    V OnFailure
    
    V OnFailureExtra

paguro.Dataset[VFM: paguro.models.vfm.vfmodel.VFrameModel]].is_unique() → polars.Series: See is_unique

© Copyright 2025, Bernardo Dionisi.

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