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, fix_imports]) |
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 innumpy.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). |
| 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#
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#