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Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record. Each record consists of the same number of fields, and these are separated by commas in the ...
Comma-separated values (CSV) RFC author: Yakov Shafranovich — Myriad informal variants RFC 4180 (among others) No Yes No No No No Common Data Representation (CDR) Object Management Group — Yes General Inter-ORB Protocol: Yes No Yes Yes Ada, C, C++, Java, Cobol, Lisp, Python, Ruby, Smalltalk — D-Bus Message Protocol freedesktop.org — Yes ...
A stylistic depiction of values inside of a so-named comma-separated values (CSV) text file. The commas (shown in red) are used as field delimiters. A delimiter is a sequence of one or more characters for specifying the boundary between separate, independent regions in plain text, mathematical expressions or other data streams.
Any character may be used to separate the values, but the most common delimiters are the comma, tab, and colon. [2]: 113 [5] The vertical bar (also referred to as pipe) and space are also sometimes used. [2]: 113 Column headers are sometimes included as the first line, and each subsequent line is a row of data.
Python supports a wide variety of string operations. Strings in Python are immutable, so a string operation such as a substitution of characters, that in other programming languages might alter the string in place, returns a new string in Python. Performance considerations sometimes push for using special techniques in programs that modify ...
The TSV format is thus a delimiter-separated values format, similar to comma-separated values. TSV is a simple file format that is widely supported, so it is often used in data exchange to move tabular data between different computer programs that support the format.
Strings are represented in C literal style: "This is a plist string\n"; simpler, unquoted strings are allowed as long as they consist of alphanumericals and one of _$+/:.-. Binary data are represented as: < [hexadecimal codes in ASCII] >. Spaces and comments between paired hex-codes are ignored. Arrays are represented as: ( "1", "2", "3 ...
By default, a Pandas index is a series of integers ascending from 0, similar to the indices of Python arrays. However, indices can use any NumPy data type, including floating point, timestamps, or strings. [4]: 112 Pandas' syntax for mapping index values to relevant data is the same syntax Python uses to map dictionary keys to values.