Question 1

How to read a CSV file with a custom separator like semicolon in rapidcsv?

Accepted Answer

Use SeparatorParams with the desired character when constructing the Document, as demonstrated in the custom separator example with ';' for semi-colon files.

Question 2

Rapidcsv vs fast-cpp-csv-parser which is better for performance?

Accepted Answer

Fast-cpp-csv-parser is optimized for speed and memory efficiency, while rapidcsv focuses on simplicity and flexibility. Choose based on whether you prioritize ease-of-use or raw performance.

Question 3

How to handle empty cells or invalid numbers in rapidcsv without exceptions?

Accepted Answer

Configure ConverterParams to enable default values, setting it to true to use NaN for floats or zero for integers instead of throwing errors, as described in the section on reading files with invalid numbers.

Question 4

Can rapidcsv parse CSV data directly from a string without a file?

Accepted Answer

Yes, it supports input from streams or strings via std::stringstream, allowing in-memory parsing as shown in the example reading CSV from a const std::string.

Question 5

How to convert CSV rows to custom C++ structs using rapidcsv?

Accepted Answer

Implement custom conversion functions for your struct type, either globally or per call, as illustrated in the example with MyStruct and ConvMyStruct.

Question 6

Does rapidcsv support UTF-16 encoded CSV files?

Accepted Answer

Yes, but only if HAS_CODECVT is defined and the system supports it; otherwise, UTF-8 is the default, with automatic detection for UTF-16 LE/BE when enabled.

rapidcsv

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