Pure-header, no dependency C/C++ code to write Numpy files (.npy)
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
commonblock
examples/CMSSW-with-C-interface
.gitignore
LICENSE
README.md
c2numpy.h
test.c

README.md

c2numpy

Write Numpy (.npy) files from C++ for analysis in Numpy, Scipy, Scikit-Learn, Pandas, etc.

Fills a collection of .npy files with a maximum size, a common prefix and a rotating number (like rotating log files). Each file contains one structured array, consisting of named, typed columns (numbers and fixed-size strings) and many rows. In Python, you access rows and columns with string and integer indexing:

myarray["column1"]   # one column, all rows
myarray[3:5]         # all columns, slice of rows
                     # etc.

This project does not support reading of Numpy files in C++.

Installation

Put c2numpy.h in your C++ project and compile. No libraries are required. Earlier versions of this worked with strict C99, but this project now requires C++.

For an example and testing, test.c is provided. Compile and run it with

gcc -std=c99 test.c -o testme && ./testme

and view the results with

python -c "import numpy; print numpy.load(open('testout0.npy'));"
python -c "import numpy; print numpy.load(open('testout1.npy'));"

C++ example

// declare writer
c2numpy_writer writer;

// initialize it and add columns
c2numpy_init(&writer, "testout", 5);
c2numpy_addcolumn(&writer, "one", C2NUMPY_INTC);
c2numpy_addcolumn(&writer, "two", C2NUMPY_FLOAT64);
c2numpy_addcolumn(&writer, "three", C2NUMPY_STRING + 5);

// first row
c2numpy_intc(&writer, 1);
c2numpy_float64(&writer, 1.1);
c2numpy_string(&writer, "ONE");

// second row
c2numpy_intc(&writer, 2);
c2numpy_float64(&writer, 2.2);
c2numpy_string(&writer, "TWO");

// third row
c2numpy_intc(&writer, 3);
c2numpy_float64(&writer, 3.3);
c2numpy_string(&writer, "THREE");

// close file
c2numpy_close(&writer);

C-like API

The original version of this project could be used in pure C projects, and hence it has a pure C API. However, now that the internals require C++, this API will be replaced by a C++ API. This documentation will always be in sync with the codebase (in the same branch of GitHub).

Enumeration constants for Numpy types: c2numpy_type

See number type definitions in the Numpy documentation.

C2NUMPY_BOOL        // Boolean (True or False) stored as a byte
C2NUMPY_INT         // Default integer type (same as C long; normally either int64 or int32)
C2NUMPY_INTC        // Identical to C int (normally int32 or int64)
C2NUMPY_INTP        // Integer used for indexing (same as C ssize_t; normally either int32 or int64)
C2NUMPY_INT8        // Byte (-128 to 127)
C2NUMPY_INT16       // Integer (-32768 to 32767)
C2NUMPY_INT32       // Integer (-2147483648 to 2147483647)
C2NUMPY_INT64       // Integer (-9223372036854775808 to 9223372036854775807)
C2NUMPY_UINT8       // Unsigned integer (0 to 255)
C2NUMPY_UINT16      // Unsigned integer (0 to 65535)
C2NUMPY_UINT32      // Unsigned integer (0 to 4294967295)
C2NUMPY_UINT64      // Unsigned integer (0 to 18446744073709551615)
C2NUMPY_FLOAT       // Shorthand for float64.
C2NUMPY_FLOAT16     // Half precision float: sign bit, 5 bits exponent, 10 bits mantissa
C2NUMPY_FLOAT32     // Single precision float: sign bit, 8 bits exponent, 23 bits mantissa
C2NUMPY_FLOAT64     // Double precision float: sign bit, 11 bits exponent, 52 bits mantissa
C2NUMPY_COMPLEX     // Shorthand for complex128.
C2NUMPY_COMPLEX64   // Complex number, represented by two 32-bit floats (real and imaginary components)
C2NUMPY_COMPLEX128  // Complex number, represented by two 64-bit floats (real and imaginary components)
C2NUMPY_STRING      = 100  // strings are C2NUMPY_STRING + their fixed size (up to 155)

Strings are fixed-width only, so the type for strings with 12 characters is C2NUMPY_STRING + 12.

Not currently supported:

  • C2NUMPY_FLOAT16
  • C2NUMPY_COMPLEX
  • C2NUMPY_COMPLEX64
  • C2NUMPY_COMPLEX128
  • strings 155 characters or longer

Writer object: c2numpy_writer

A writer contains the following fields. Some of them are internal, and all of them should be treated as read-only. Use the associated functions to manipulate.

typedef struct {
    char buffer[16];              // (internal) used for temporary copies in c2numpy_row

    FILE *file;                   // output file handle
    std::string outputFilePrefix; // output file name, not including the rotating number and .npy
    int64_t sizeSeekPosition;     // (internal) keep track of number of rows to modify before closing
    int64_t sizeSeekSize;         // (internal)

    int32_t numColumns;           // number of columns in the record array
    std::vector<std::string> columnNames;  // column names
    std::vector<c2numpy_type> columnTypes; // column types

    int32_t numRowsPerFile;       // maximum number of rows per file
    int32_t currentColumn;        // current column number
    int32_t currentRowInFile;     // current row number in the current file
    int32_t currentFileNumber;    // current file number
} c2numpy_writer;

Numpy description string from type: c2numpy_descr

const char *c2numpy_descr(c2numpy_type type);

Rarely needed by typical users; converts a c2numpy_type to the corresponding Numpy "descr" string. Returns NULL if the type is invalid.

Initialize a writer object: c2numpy_init

int c2numpy_init(c2numpy_writer *writer, const char *outputFilePrefix, int32_t numRowsPerFile);

This is the first function you should call on a new writer. After this, call c2numpy_addcolumn to add column descriptions.

  • writer: a new writer object.
  • outputFilePrefix: name of the output files, not including the rotating file number or the .npy suffix. This can include directories.
  • numRowsPerFile: number of rows to write before starting a new file.
  • returns: 0 if successful, -1 otherwise

Copies the string outputFilePrefix, so you are responsible for deleting the original if necessary.

Add a column to the writer: c2numpy_addcolumn

int c2numpy_addcolumn(c2numpy_writer *writer, const char *name, c2numpy_type type);

This is the second function you should call on a new writer. Call it once for each column you wish to add.

  • writer: the writer object, already initialized.
  • name: the name of the column to add.
  • type: the type of the column to add (see enumeration constants above).
  • returns: 0 if successful, -1 otherwise

Copies the string name, so you are responsible for deleting the original if necessary.

Optional open file: c2numpy_open

int c2numpy_open(c2numpy_writer *writer);

Open a file and write its header to disk. If you don't call this explicitly, writing data will automatically open the first file. You might want to call it before an expensive initialization to learn about I/O errors early, though.

Returns: 0 if successful and -1 otherwise.

Write an item of data: c2numpy_*

The following suite of functions push one datum (item in a row/column) to the writer. They check the requested data type against the expected data type for the current column, but cannot prevent column-misalignment if all data types are the same.

int c2numpy_bool(c2numpy_writer *writer, int8_t data);        // "bool" is just a byte
int c2numpy_int(c2numpy_writer *writer, int64_t data);        // Numpy's default int is 64-bit
int c2numpy_intc(c2numpy_writer *writer, int data);           // the built-in C int
int c2numpy_intp(c2numpy_writer *writer, size_t data);        // intp is Numpy's way of saying size_t
int c2numpy_int8(c2numpy_writer *writer, int8_t data);
int c2numpy_int16(c2numpy_writer *writer, int16_t data);
int c2numpy_int32(c2numpy_writer *writer, int32_t data);
int c2numpy_int64(c2numpy_writer *writer, int64_t data);
int c2numpy_uint8(c2numpy_writer *writer, uint8_t data);
int c2numpy_uint16(c2numpy_writer *writer, uint16_t data);
int c2numpy_uint32(c2numpy_writer *writer, uint32_t data);
int c2numpy_uint64(c2numpy_writer *writer, uint64_t data);
int c2numpy_float(c2numpy_writer *writer, double data);       // Numpy's "float" is a double
// int c2numpy_float16(c2numpy_writer *writer, ??? data);     // how to do float16 in C?
int c2numpy_float32(c2numpy_writer *writer, float data);
int c2numpy_float64(c2numpy_writer *writer, double data);
// int c2numpy_complex(c2numpy_writer *writer, ??? data);     // how to do complex in C?
// int c2numpy_complex64(c2numpy_writer *writer, ??? data);
// int c2numpy_complex128(c2numpy_writer *writer, ??? data);
int c2numpy_string(c2numpy_writer *writer, const char *data);

Returns: 0 if successful and -1 otherwise.

The string form, c2numpy_string, only writes the string data, so you are responsible for deleting the original if necessary. The full width of the string is written every time, even if this means writing uninitialized data past a termination character or truncating the string before its termination character.

Required close file: c2numpy_close

int c2numpy_close(c2numpy_writer *writer);

If you do not explicitly close the writer, your last file may be corrupted. Be sure to do this after your loop over data.

Returns: 0 if successful and -1 otherwise.

To do

  • Add convenience function to calculate number of rows for a target file size.
  • Compressed (.npz) files.
  • System independence (currently assumes little endian with 32-bit int and 64-bit size_t).
  • Faster guessing of header size and column types.
  • Float16 and complex numbers.
  • Distinct return values for different errors and documentation of those errors.
  • C++ API.