t
Built-in Data Structures

Meaning

Returns a slice of the sequence from index 1 to the end, i.e., all elements except the first.

Primary Function

Extract a subsequence starting at index 1 and continuing to the end of the sequence.

Communicative Purpose

Indicates the intention to skip the first element of a sequence.

Pattern

<sequence>[1:]

Core Structure

<sequence>[start:] where start = 1

Função primária

Extract a subsequence starting at index 1 and continuing to the end of the sequence.

Propósito comunicativo

Indicates the intention to skip the first element of a sequence.

Situações de gatilho

Used when the first element is a header or metadata to be ignored, e.g., processing CSV rows after the header.

Contextos

Applicable to any sliceable Python sequence such as strings, lists, tuples, arrays, or custom sequences.

Padrão

<sequence>[1:]

Estrutura central

<sequence>[start:] where start = 1

Slots de substituição

<sequence>: any sliceable object; start index can be any integer (here fixed to 1)

Colocados típicos

  • list
  • string
  • tuple
  • numpy array
  • pandas Series

Substituições comuns

  • Start index can be omitted (defaults to 0) or any integer
  • stop omitted defaults to end
  • step omitted defaults to 1.

Erros comuns

Confusing t[1:] with t[:1] (first element only); forgetting that omitted stop means to the end; misinterpreting step.

Similar / contraste

t[:1] (first element only), t[:] (shallow copy), t[::-1] (reverse), t[2:] (skip first two).

Interferências

May be confused with substring indexing in other languages where syntax differs; ensure the object supports slicing.

Família do chunk

  • slice_syntax

Nuance

Produces a shallow copy; mutable elements inside the slice remain shared with the original.

Efeito pragmático

Signals the intent to ignore or discard the first element, often used to skip headers or metadata.

Dica de memória

Think 'skip first'.

Nota

Equivalent to slice(sequence, 1, None) or sequence.__getitem__(slice(1, None)).

Upgrade path

Learn slicing with step and negative indices, and advanced slicing with NumPy arrays.

Frequência: Very highFormulaicidade: Semi-fixedTipo de construção: slice expressionPrioridade de aquisição: Automatic productionPrioridade de output: BothTag de espaçamento: Immediate

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