These functions parse rectangular files (like csv or fixed-width format) into tibbles. They specify the overall structure of the file, and how each line is divided up into fields.

read_delim read_csv read_csv2 read_tsv

Read a delimited file (including csv & tsv) into a tibble

read_fwf fwf_empty fwf_widths fwf_positions fwf_cols

Read a fixed width file into a tibble

read_log

Read common/combined log file into a tibble

read_table read_table2

Read whitespace-separated columns into a tibble

## Column specification

The column specification describes how each column is parsed from a character vector in to a more specific data type. readr does make an educated guess about the type of each column, but you’ll need override those guesses when it gets them wrong.

problems stop_for_problems

Retrieve parsing problems

cols cols_only

Create column specification

cols_condense spec

Examine the column specifications for a data frame

spec_delim spec_csv spec_csv2 spec_tsv spec_table

Generate a column specification

## Column parsers

Column parsers define how a single column is parsed, or a parse a single vector. Each parser comes in two forms: parse_xxx() which is used to parse vectors that already exist in R and col_xxx() which is used to parse vectors as they are loaded by a read_xxx() function.

parse_logical parse_integer parse_double parse_character col_logical col_integer col_double col_character

Parse logicals, integers, and reals

parse_datetime parse_date parse_time col_datetime col_date col_time

Parse date/times

parse_factor col_factor

Parse factors

parse_guess col_guess guess_parser

Parse using the "best" type

parse_number col_number

Parse numbers, flexibly

col_skip

Skip a column

## Locale controls

The “locale” controls all options that vary from country-to-country or language-to-language. This includes things like the character used as the decimal mark, the names of days of the week, and the encoding. See vignette("locales") for more details.

locale default_locale

Create locales

date_names date_names_lang date_names_langs

Create or retrieve date names

## Write rectangular files

Despite its name, readr also provides a number of functions to write data frames to disk, or to convert them to in-memory strings.

format_delim format_csv format_tsv

Convert a data frame to a delimited string

write_delim write_csv write_excel_csv write_excel_csv2 write_tsv

Write a data frame to a delimited file

## Low-level IO and debugging tools

These functions can be used with non-rectangular files, binary data, and to help debug rectangular files that fail to parse.

read_file read_file_raw write_file

read_lines read_lines_raw write_lines

count_fields

Count the number of fields in each line of a file

guess_encoding

Guess encoding of file

type_convert

Re-convert character columns in existing data frame

## Chunked API

The chunked API allows you to read in files that are larger than memory, processing a chunk at a time. The API experimental: please try it out but be aware that it may change in the future.

callback

Callback classes

read_delim_chunked read_csv_chunked read_csv2_chunked read_tsv_chunked

Read a delimited file by chunks

read_lines_chunked

Read lines from a file or string by chunk.