Access table still updating

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argument that allows the array data of each HDU to be accessed with mmap, rather than being read into memory all at once.This is particularly useful for working with very large arrays that cannot fit entirely into physical memory.However, there is a common convention to store unsigned integers as signed integers, along with a .

It should be noted that Astropy is using zero-based indexing when referring to HDUs and header cards, though the FITS standard (which was designed with FORTRAN in mind) uses one-based indexing.See the Numpy documentation for more details on Python-style array indexing and slicing.The next example of array manipulation is to convert the image data from counts to flux: Note that performing an operation like this on an entire image requires holding the entire image in memory.The The headers will still be accessible after the HDUList is closed.The data may or may not be accessible depending on whether the data are touched and if they are memory-mapped, see later chapters for detail.

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