NumPy: Input and output routines
Input and output routines
| NumPy binary files (NPY, NPZ) | ||
| Name | Description | Syntax |
|---|---|---|
| load() | Load arrays or pickled objects from .npy, .npz or pickled files. | numpy.load(file, mmap_mode=None, allow_pickle=True, fix_imports=True, encoding='ASCII') |
| save() | Save an array to a binary file in NumPy .npy format. | numpy.save(file, arr, allow_pickle=True, fix_imports=True) |
| savez() | Save several arrays into a single file in uncompressed .npz format. | numpy.savez(file, *args, **kwds) |
| savez_compressed() | Save several arrays into a single file in compressed .npz format. | numpy.savez_compressed(file, *args, **kwds) |
| Text files | ||
| Name | Description | Syntax |
| loadtxt() | Load data from a text file. | numpy.loadtxt(fname, dtype=<class 'float'>, comments='#', delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0, encoding='bytes') |
| savetxt() | Save an array to a text file. | numpy.savetxt(fname, X, fmt='%.18e', delimiter=' ', newline='\n', header='', footer='', comments='# ', encoding=None) |
| genfromtxt() | Load data from a text file, with missing values handled as specified. | numpy.genfromtxt(fname, dtype=<class 'float'>, comments='#', delimiter=None, skip_header=0, skip_footer=0, converters=None, missing_values=None, filling_values=None, usecols=None, names=None, excludelist=None, deletechars=None, replace_space='_', autostrip=False, case_sensitive=True, defaultfmt='f%i', unpack=None, usemask=False, loose=True, invalid_raise=True, max_rows=None, encoding='bytes') |
| fromregex() | Construct an array from a text file, using regular expression parsing. | numpy.fromregex(file, regexp, dtype, encoding=None) |
| fromstring() | A new 1-D array initialized from raw binary or text data in a string. | numpy.fromstring(string, dtype=float, count=-1, sep='') |
| ndarray.tofile() | Write array to a file as text or binary (default). | ndarray.tofile(fid, sep="", format="%s") |
| ndarray.tolist() | Return the array as a (possibly nested) list | ndarray.tolist() |
| Raw binary files | ||
| Name | Description | Syntax |
| fromfile() | Construct an array from data in a text or binary file. | numpy.fromfile(file, dtype=float, count=-1, sep='') |
| String formatting | ||
| Name | Description | Syntax |
| array2string() | Return a string representation of an array. | numpy.array2string(a, max_line_width=None, precision=None, suppress_small=None, separator=' ', prefix='', style=<no value>, formatter=None, threshold=None, edgeitems=None, sign=None, floatmode=None, suffix='', **kwarg) |
| array_repr() | Return the string representation of an array. | numpy.array_repr(arr, max_line_width=None, precision=None, suppress_small=None) |
| array_str() | Return a string representation of the data in an array. | numpy.array_str(a, max_line_width=None, precision=None, suppress_small=None) |
| format_float_positional() | Format a floating-point scalar as a decimal string in positional notation. | numpy.format_float_positional(x, precision=None, unique=True, fractional=True, trim='k', sign=False, pad_left=None, pad_right=None) |
| format_float_scientific() | Format a floating-point scalar as a decimal string in scientific notation. | numpy.format_float_scientific(x, precision=None, unique=True, trim='k', sign=False, pad_left=None, exp_digits=None) |
| Memory mapping files | ||
| Name | Description | Syntax |
| memmap() | Create a memory-map to an array stored in a binary file on disk. | class numpy.memmap |
| Text formatting options | ||
| set_printoptions() | Set printing options. | numpy.set_printoptions(precision=None, threshold=None, edgeitems=None, linewidth=None, suppress=None, nanstr=None, infstr=None, formatter=None, sign=None, floatmode=None, **kwarg) |
| get_printoptions() | Return the current print options. | numpy.get_printoptions() |
| set_string_function() | Set a Python function to be used when pretty printing arrays. | numpy.set_string_function(f, repr=True) |
| printoptions() | Context manager for setting print options. | numpy.printoptions(*args, **kwargs) |
| Base-n representations | ||
| Name | Description | Syntax |
| binary_repr() | Return the binary representation of the input number as a string. | numpy.binary_repr(num, width=None) |
| base_repr() | Return a string representation of a number in the given base system. | numpy.base_repr(number, base=2, padding=0) |
| Data sources | ||
| DataSource() | A generic data source file (file, http, ftp, ...). | class numpy.DataSource(destpath='.') |
| Binary Format Description | ||
| lib.format() | A simple format for saving numpy arrays to disk with the full information about them. | |
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://w3resource.com/numpy/input-and-output/index.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics