Input and output#

NumPy binary files (npy, npz)#

`load`(file[,mmap_mode,allow_pickle,...])	Load arrays or pickled objects from `.npy`, `.npz` or pickled files.
`save`(file,arr[,allow_pickle])	Save an array to a binary file in NumPy `.npy` format.
`savez`(file,*args[,allow_pickle])	Save several arrays into a single file in uncompressed `.npz` format.
`savez_compressed`(file,*args[,allow_pickle])	Save several arrays into a single file in compressed `.npz` format.
`lib.npyio.NpzFile`(fid)	A dictionary-like object with lazy-loading of files in the zipped archive provided on construction.

The format of these binary file types is documented in numpy.lib.format

Text files#

`loadtxt`(fname[,dtype,comments,delimiter,...])	Load data from a text file.
`savetxt`(fname,X[,fmt,delimiter,newline,...])	Save an array to a text file.
`genfromtxt`(fname[,dtype,comments,...])	Load data from a text file, with missing values handled as specified.
`fromregex`(file,regexp,dtype[,encoding])	Construct an array from a text file, using regular expression parsing.
`fromstring`(string[,dtype,count,like])	A new 1-D array initialized from text data in a string.
`ndarray.tofile`(fid,/[,sep,format])	Write array to a file as text or binary (default).
`ndarray.tolist`()	Return the array as an `a.ndim`-levels deep nested list of Python scalars.

Raw binary files#

`fromfile`(file[,dtype,count,sep,offset,like])	Construct an array from data in a text or binary file.
`ndarray.tofile`(fid,/[,sep,format])	Write array to a file as text or binary (default).

String formatting#

`array2string`(a[,max_line_width,precision,...])	Return a string representation of an array.
`array_repr`(arr[,max_line_width,precision,...])	Return the string representation of an array.
`array_str`(a[,max_line_width,precision,...])	Return a string representation of the data in an array.
`format_float_positional`(x[,precision,...])	Format a floating-point scalar as a decimal string in positional notation.
`format_float_scientific`(x[,precision,...])	Format a floating-point scalar as a decimal string in scientific notation.

Memory mapping files#

`memmap`(filename[,dtype,mode,offset,...])	Create a memory-map to an array stored in a binary file on disk.
`lib.format.open_memmap`(filename[,mode,...])	Open a .npy file as a memory-mapped array.

Text formatting options#

Text formatting settings are maintained in a context variable, allowing different threads or async tasks to have independent configurations. For more information, see Thread Safety.

`set_printoptions`([precision,threshold,...])	Set printing options.
`get_printoptions`()	Return the current print options.
`printoptions`(args,*kwargs)	Context manager for setting print options.

Base-n representations#

`binary_repr`(num[,width])	Return the binary representation of the input number as a string.
`base_repr`(number[,base,padding])	Return a string representation of a number in the given base system.

Data sources#

lib.npyio.DataSource([destpath])

A generic data source file (file, http, ftp, ...).

Binary format description#

lib.format

Binary serialization

numpy.piecewise

numpy.load