Documentation Index
Fetch the complete documentation index at: https://numpyts.dev/llms.txt
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arange
Return evenly spaced values within a given interval. When called with a single argument, it is treated as stop and start defaults to 0.
function arange(start: number, stop?: number, step?: number, dtype?: DType): NDArray
| Name | Type | Default | Description |
|---|
start | number | 0 | Start of the interval (inclusive). If stop is omitted, this value is used as stop and start becomes 0. |
stop | number | - | End of the interval (exclusive). |
step | number | 1 | Spacing between values. |
dtype | DType | 'float64' | Data type of the output array. |
NDArray — 1-D array of evenly spaced values.
import * as np from 'numpy-ts';
const a = np.arange(5);
// array([0, 1, 2, 3, 4])
const b = np.arange(2, 10, 2);
// array([2, 4, 6, 8])
const c = np.arange(0, 1, 0.25);
// array([0, 0.25, 0.5, 0.75])
linspace
Return evenly spaced numbers over a specified interval. Unlike arange, the stop value is included by default.
function linspace(
start: number,
stop: number,
num?: number,
dtype?: DType
): NDArray
| Name | Type | Default | Description |
|---|
start | number | - | Start value of the sequence. |
stop | number | - | End value of the sequence (inclusive). |
num | number | 50 | Number of samples to generate. |
dtype | DType | 'float64' | Data type of the output array. |
NDArray — 1-D array of num evenly spaced values from start to stop.
import * as np from 'numpy-ts';
const a = np.linspace(0, 1, 5);
// array([0, 0.25, 0.5, 0.75, 1])
const b = np.linspace(0, 10, 3);
// array([0, 5, 10])
logspace
Return numbers spaced evenly on a log scale. In the default base 10, start and stop are exponents: the sequence runs from base**start to base**stop.
function logspace(
start: number,
stop: number,
num?: number,
base?: number,
dtype?: DType
): NDArray
| Name | Type | Default | Description |
|---|
start | number | - | base**start is the starting value of the sequence. |
stop | number | - | base**stop is the final value of the sequence. |
num | number | 50 | Number of samples to generate. |
base | number | 10.0 | The base of the log space. |
dtype | DType | 'float64' | Data type of the output array. |
NDArray — 1-D array of num samples, equally spaced on a log scale.
import * as np from 'numpy-ts';
const a = np.logspace(0, 2, 3);
// array([1, 10, 100]) -- 10^0, 10^1, 10^2
const b = np.logspace(0, 3, 4, 2);
// array([1, 2, 4, 8]) -- 2^0, 2^1, 2^2, 2^3
geomspace
Return numbers spaced evenly on a log scale (a geometric sequence). Unlike logspace, start and stop are the actual start/stop values, not exponents.
function geomspace(
start: number,
stop: number,
num?: number,
dtype?: DType
): NDArray
| Name | Type | Default | Description |
|---|
start | number | - | The starting value of the sequence. Must be non-zero. |
stop | number | - | The final value of the sequence. Must be non-zero and same sign as start. |
num | number | 50 | Number of samples to generate. |
dtype | DType | 'float64' | Data type of the output array. |
NDArray — 1-D array of num samples, equally spaced on a geometric (log) scale.
Throws: Error if start or stop is zero, or if they have different signs.
import * as np from 'numpy-ts';
const a = np.geomspace(1, 1000, 4);
// array([1, 10, 100, 1000])
const b = np.geomspace(1, 256, 9);
// array([1, 2, 4, 8, 16, 32, 64, 128, 256])
