API Reference

API Reference

File operations

FITSIO.FITSType.
FITS(filename::String, mode::String="r")

Open or create a FITS file. mode can be one of "r" (read-only), "r+" (read-write) or "w" (write). In "write" mode, any existing file of the same name is overwritten.

A FITS object is a collection of "Header-Data Units" (HDUs) and supports the following operations:

  • f[i]: Return the i-th HDU.

  • f[name] or f[name, ver]: Return the HDU containing the given the given EXTNAME (or HDUNAME) keyword (a String), and optionally the given EXTVER (or HDUVER) number (an Integer).

  • Iteration:

    for hdu in f
        ...
    end
source
Base.lengthMethod.
length(f::FITS)

Number of HDUs in the file.

source
Base.closeMethod.
close(f::FITS)

Close the file.

Subsequent attempts to operate on f will result in an error. FITS objects are also automatically closed when they are garbage collected.

source

Header operations

FITSIO.read_keyFunction.
read_key(hdu, key::String) -> (value, comment)

reads the HDU header record specified by keyword and returns a tuple where value is the keyword parsed value (of type String, Bool, Int, Float64 or Nothing), comment is the keyword comment (as a string). An error is thrown if key is not found.

read_key(hdu, key::Integer) -> (keyname, value, comment)

same as above but FITS card is specified by its position and returns a 3 element tuple where keyname is the keyword name (a string).

source
FITSIO.write_keyFunction.
write_key(hdu, key::String, value[, comment])

Write a keyword value the HDU's header. value can be a standard header type (String, Bool, Integer, AbstractFloat) or nothing, in which case the value part of the record will be empty. If the keyword already exists, the value will be overwritten. The comment will only be overwritten if given. If the keyword does not already exist, a new record will be appended at the end of the header.

source
FITSIO.read_headerFunction.
read_header(hdu) -> FITSHeader

Read the entire header from the given HDU and return a FITSHeader object. The value of each header record is parsed as Int, Float64, String, Bool or nothing according to the FITS standard.

If the value cannot be parsed according to the FITS standard, the value is stored as the raw unparsed String.

source
read_header(hdu, String) -> String

Read the entire header from the given HDU as a single string.

source
FITSHeader(keys::Vector{String}, values::Vector, comments::Vector{String})

An in-memory representation of the header of an HDU. It stores the (key, value, comment) information for each 80-character "card" in a header.

Note that this structure is not linked to a FITS file in any way; it is just a convenient structure for storing the header contents after reading from a file. (This is similar to how an Array returned by read(f[1]) is not linked to the FITS file f.) Manipulating a FITSHeader will therefore have no immediate impact on any file, even if it was created by read_header(::HDU). You can, however, write a FITSHeader to a file using the write(::FITS, ...) methods that append a new HDU to a file.

source
Base.lengthMethod.
length(hdr)

Number of records.

source
Base.haskeyMethod.
haskey(hdr)

Header keyword exists.

source
Base.keysMethod.
keys(hdr)

Array of keywords (not a copy).

source
Base.valuesMethod.
values(hdr)

Array of values (not a copy).

source
FITSIO.get_commentFunction.
get_comment(hdr, key)

Get the comment based on keyword or index.

source
FITSIO.set_comment!Function.
set_comment!(hdr, key, comment)

Set the comment baed on keyword or index.

source

Image operations

Base.writeMethod.
write(f::FITS, data::Array; header=nothing, name=nothing, ver=nothing)

Add a new image HDU to FITS file f with contents data. The following array element types are supported: UInt8, Int8, UInt16, Int16, UInt32, Int32, Int64, Float32, Float64. If a FITSHeader object is passed as the header keyword argument, the header will also be added to the new HDU.

source
Base.readMethod.
read(hdu::ImageHDU)
read(hdu::ImageHDU, range...)

Read the data array or a subset thereof from disk. The first form reads the entire data array. The second form reads a slice of the array given by the specified ranges or integers.

source
Base.ndimsMethod.
ndims(hdu::ImageHDU)

Get number of image dimensions, without reading the image into memory.

source
Base.sizeMethod.
size(hdu::ImageHDU)
size(hdu::ImageHDU, i)

Get image dimensions (or ith dimension), without reading the image into memory.

source
Base.lengthMethod.
length(hdu::ImageHDU)

Get total number of pixels in image (product of $size(hdu)$).

source
FITSIO.copy_sectionFunction.
copy_section(hdu, dest, r...)

Copy a rectangular section of an image and write it to a new FITS primary image or image extension in FITS object dest. The new image HDU is appended to the end of dest. All the keywords in the input image will be copied to the output image. The common WCS keywords will be updated if necessary to correspond to the coordinates of the section.

Examples

Copy the lower-left 200 x 200 pixel section of the image in hdu to an open file, f

copy_section(hdu, f, 1:200, 1:200)

Same as above but only copy odd columns in y:

copy_section(hdu, f, 1:200, 1:2:200)
source

Table operations

FITSIO.colnamesFunction.
colnames(hdu) -> Vector{String}

Return the names of columns in a table HDU.

source
Base.writeMethod.
write(f::FITS, data::Dict; hdutype=TableHDU, name=nothing, ver=nothing, header=nothing, units=nothing, varcols=nothing)

Create a new table extension and write data to it. If the FITS file is currently empty then a dummy primary array will be created before appending the table extension to it. data should be a dictionary with String keys (giving the column names) and Array values (giving data to write to each column). The following types are supported in binary tables: UInt8, Int8, UInt16, Int16, UInt32, Int32, Int64, Float32, Float64, Complex{Float32}, Complex{Float64}, String, Bool.

Optional inputs:

  • hdutype: Type of table extension to create. Can be either TableHDU (binary table) or ASCIITableHDU (ASCII table).
  • name: Name of extension.
  • ver: Version of extension (Int).
  • header: FITSHeader instance to write to new extension.
  • units: Dictionary mapping column name to units (as a string).
  • varcols: An array giving the column names or column indicies to write as "variable-length columns".
Variable length columns

Variable length columns allow a column's row entries to contain arrays of different lengths. They can potentially save diskspace when the rows of a column vary greatly in length, as the column data is all written to a contiguous heap area at the end of the table. Only column data of type Vector{String} or types such as Vector{Vector{UInt8}} can be written as variable length columns. In the second case, ensure that the column data type is a leaf type. That is, the type cannot be Vector{Vector{T}}, which would be an array of arrays having potentially non-uniform element types (which would not be writable as a FITS table column).

source
Base.writeMethod.
write(f::FITS, colnames, coldata; hdutype=TableHDU, name=nothing, ver=nothing, header=nothing, units=nothing, varcols=nothing)

Same as write(f::FITS, data::Dict; ...) but providing column names and column data as a separate arrays. This is useful for specifying the order of the columns. Column names must be Vector{String} and column data must be a vector of arrays.

source
Base.readMethod.
read(hdu, colname; case_sensitive=true)

Read a column as an array from the given table HDU.

The column name may contain wild card characters (*, ?, or #). The * wild card character matches any sequence of characters (including zero characters) and the ? character matches any single character. The # wildcard will match any consecutive string of decimal digits (0-9). The string must match a unique column. The optional boolean keyword case_sensitive, true by default, specifies whether the column name is to be considered case sensitive.

source

Miscellaneous

libcfitsio_version() -> VersionNumber

Return the version of the underlying CFITSIO library

Example

julia> FITSIO.libcfitsio_version()
v"3.37.0"
source