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Input and output
NumPy binary files (NPY, NPZ)
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      Load arrays or pickled objects from   | 
     
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      Save an array to a binary file in NumPy   | 
     
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      Save several arrays into a single file in uncompressed   | 
     
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      Save several arrays into a single file in compressed   | 
     
The format of these binary file types is documented in numpy.lib.format
Text files
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      Load data from a text file.  | 
     
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      Save an array to a text file.  | 
     
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      Load data from a text file, with missing values handled as specified.  | 
     
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      Construct an array from a text file, using regular expression parsing.  | 
     
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      A new 1-D array initialized from text data in a string.  | 
     
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      Write array to a file as text or binary (default).  | 
     
Return the array as an   | 
     
Raw binary files
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      Construct an array from data in a text or binary file.  | 
     
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      Write array to a file as text or binary (default).  | 
     
String formatting
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      Return a string representation of an array.  | 
     
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      Return the string representation of an array.  | 
     
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      Return a string representation of the data in an array.  | 
     
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      Format a floating-point scalar as a decimal string in positional notation.  | 
     
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      Format a floating-point scalar as a decimal string in scientific notation.  | 
     
Memory mapping files
Create a memory-map to an array stored in a binary file on disk.  | 
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      Open a .npy file as a memory-mapped array.  | 
     
Text formatting options
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      Set printing options.  | 
     
Return the current print options.  | 
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      Set a Python function to be used when pretty printing arrays.  | 
     
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      Context manager for setting print options.  | 
     
Base-n representations
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      Return the binary representation of the input number as a string.  | 
     
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      Return a string representation of a number in the given base system.  | 
     
Data sources
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      A generic data source file (file, http, ftp, …).  | 
     
Binary Format Description
Binary serialization  | 
     
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 https://numpy.org/doc/1.20/reference/routines.io.html