Documentation Index
Fetch the complete documentation index at: https://numpyts.dev/llms.txt
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array2string
Return a string representation of an array with full control over formatting.
function array2string(a: ArrayLike, options?: { max_line_width?: number; precision?: number; suppress_small?: boolean; separator?: string; prefix?: string; suffix?: string; threshold?: number; edgeitems?: number; sign?: ' ' | '+' | '-'; floatmode?: 'fixed' | 'unique' | 'maxprec' | 'maxprec_equal'; }): string
| Parameter | Type | Default | Description |
|---|
a | ArrayLike | — | Input array. |
options | { max_line_width?: number; precision?: number; suppress_small?: boolean; separator?: string; prefix?: string; suffix?: string; threshold?: number; edgeitems?: number; sign?: ' ' | '+' | '-'; floatmode?: 'fixed' | 'unique' | 'maxprec' | 'maxprec_equal'; } | undefined | Formatting options. |
Returns: string — Formatted string representation of the array.
import { array, array2string } from 'numpy-ts';
const a = array([[1.123456, 2.789], [3.14159, 4.0]]);
array2string(a);
// '[[1.123456, 2.789 ],\n [3.14159 , 4. ]]'
array2string(a, { precision: 2, suppress: true });
// '[[1.12, 2.79],\n [3.14, 4. ]]'
array_repr
Return the string representation of an array, including the array(...) wrapper, dtype, and shape information. This is what toString() uses internally.
function array_repr(
a: ArrayLike,
max_line_width?: number,
precision?: number,
suppress_small?: boolean
): string
| Parameter | Type | Default | Description |
|---|
a | ArrayLike | — | Input array. |
max_line_width | number | 75 | Maximum number of characters per line. |
precision | number | 8 | Number of digits of precision for floating-point output. |
suppress_small | boolean | false | If true, numbers very close to zero are printed as 0.. |
Returns: string — A string like array([[1, 2], [3, 4]]).
import { array, array_repr } from 'numpy-ts';
const a = array([[1, 2], [3, 4]]);
array_repr(a);
// 'array([[1, 2],\n [3, 4]])'
array_repr(a, 40, 2);
// 'array([[1, 2],\n [3, 4]])'
array_str
Return a string representation of the data in an array, without the array(...) wrapper.
function array_str(
a: ArrayLike,
max_line_width?: number,
precision?: number
): string
| Parameter | Type | Default | Description |
|---|
a | ArrayLike | — | Input array. |
max_line_width | number | 75 | Maximum number of characters per line. |
precision | number | 8 | Floating-point precision. |
suppress_small | boolean | false | If true, suppress small floating-point values. |
Returns: string — The array data as a string without the array() prefix.
import { array, array_str } from 'numpy-ts';
const a = array([1.5, 2.5, 3.5]);
array_str(a);
// '[1.5, 2.5, 3.5]'
base_repr
Return the string representation of a number in the given base.
function base_repr(number: number, base?: number, padding?: number): string
| Parameter | Type | Default | Description |
|---|
number | number | — | The integer to convert. |
base | number | 2 | The base for the representation (2 through 36). |
padding | number | 0 | Minimum number of digits. Pads with leading zeros if needed. |
Returns: string — String representation in the specified base.
import { base_repr } from 'numpy-ts';
base_repr(10, 2); // '1010'
base_repr(255, 16); // 'FF'
base_repr(10, 8, 4); // '0012'
base_repr(42, 10); // '42'
binary_repr
Return the binary string representation of a number. Negative numbers use two’s complement notation.
function binary_repr(num: number, width?: null | number): string
| Parameter | Type | Default | Description |
|---|
num | number | — | The integer to convert. |
width | number | undefined | Total width of the binary string. For negative numbers, this determines the two’s complement width. |
Returns: string — Binary string representation.
import { binary_repr } from 'numpy-ts';
binary_repr(10); // '1010'
binary_repr(3); // '11'
binary_repr(-3, 8); // '11111101' (two's complement)
binary_repr(10, 8); // '00001010' (zero-padded)
Format a floating-point scalar in positional (non-scientific) notation with fine-grained control.
function format_float_positional(
x: number,
precision?: null | number,
unique?: boolean,
fractional?: boolean,
trim?: '-' | '.' | '0' | 'k',
sign?: ' ' | '+' | '-',
pad_left?: null | number,
pad_right?: null | number,
min_digits?: null | number
): string
| Parameter | Type | Default | Description |
|---|
x | number | — | Value to format. |
precision | null | number | undefined | Maximum number of digits. |
unique | boolean | true | If true, use the minimum number of digits to uniquely represent the value. |
fractional | boolean | true | If true, precision refers to digits after the decimal point; otherwise total significant digits. |
trim | '-' | '.' | '0' | 'k' | 'k' | Controls trailing zero trimming. |
sign | ' ' | '+' | '-' | '-' | Sign formatting mode. |
pad_left | null | number | undefined | Pad with spaces on the left to this width. |
pad_right | null | number | undefined | Pad with spaces on the right to this width. |
min_digits | null | number | undefined | Minimum significant digits to emit. |
Returns: string — Formatted number string.
import { format_float_positional } from 'numpy-ts';
format_float_positional(3.14); // '3.14'
format_float_positional(3.14, 4); // '3.1400'
format_float_positional(3.14, 4, true, true, '-'); // '3.14'
format_float_positional(3.14, undefined, true, true, 'k', true); // '+3.14'
Format a floating-point scalar in scientific notation.
function format_float_scientific(
x: number,
precision?: null | number,
_unique?: boolean,
trim?: '-' | '.' | '0' | 'k',
sign?: ' ' | '+' | '-',
pad_left?: null | number,
exp_digits?: number,
min_digits?: null | number
): string
| Parameter | Type | Default | Description |
|---|
x | number | — | Value to format. |
precision | null | number | undefined | Number of digits of precision. |
_unique | boolean | true | If true, use minimal digits to uniquely represent the value. |
trim | '-' | '.' | '0' | 'k' | 'k' | Trailing zero trimming (same options as format_float_positional). |
sign | ' ' | '+' | '-' | '-' | Sign formatting mode. |
pad_left | null | number | undefined | Pad with spaces on the left to this width. |
exp_digits | number | undefined | Minimum number of digits in the exponent. |
min_digits | null | number | undefined | Minimum significant digits to emit. |
Returns: string — Formatted scientific notation string.
import { format_float_scientific } from 'numpy-ts';
format_float_scientific(1500.0); // '1.5e+03'
format_float_scientific(0.00123, 2); // '1.23e-03'
format_float_scientific(1500.0, 3, true, 'k', true, 3); // '+1.500e+003'
get_printoptions
Return the current default print options used by toString() and array2string.
function get_printoptions(): PrintOptions
Returns: PrintOptions — An object with the current settings including precision, threshold, edgeitems, linewidth, suppress, and nanstr.
import { get_printoptions } from 'numpy-ts';
const opts = get_printoptions();
console.log(opts.precision); // 8
console.log(opts.threshold); // 1000
console.log(opts.edgeitems); // 3
set_printoptions
Set the default print options globally. These affect all subsequent calls to toString(), array_repr, and array2string.
function set_printoptions(options: Partial<PrintOptions>): void
| Parameter | Type | Default | Description |
|---|
options | PrintOptions | — | An object with one or more print option keys: precision, threshold, edgeitems, linewidth, suppress, nanstr, infstr, sign, formatter. |
Returns: void
import { array, set_printoptions } from 'numpy-ts';
set_printoptions({ precision: 2, suppress: true });
const a = array([0.000123, 1.23456, 789.0]);
console.log(a);
// array([0. , 1.23, 789. ])
// Reset to defaults
set_printoptions({ precision: 8, suppress: false });
printoptions
Temporarily set print options and return a context object. This is useful as a scoped context manager for formatting.
function printoptions(options: Partial<PrintOptions>): { enter: () => void; exit: () => void; apply: <T>(fn: () => T) => T; _savedOptions: PrintOptions | null; }
| Parameter | Type | Default | Description |
|---|
options | Partial<PrintOptions> | — | Temporary print options to apply. |
Returns: { enter, exit, apply, _savedOptions } — Context helpers that apply and restore temporary print settings.
import { array, printoptions } from 'numpy-ts';
const a = array([1.23456789, 2.3456789]);
const ctx = printoptions({ precision: 2 });
ctx.enter();
console.log(a);
// array([1.23, 2.35])
ctx.exit();
console.log(a);
// array([1.23456789, 2.3456789 ])