| Name | uplot-python JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | Python wrapper for μPlot time series. |
| upload_time | 2024-10-29 15:41:09 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | None |
| keywords |
json
time
series
plot
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# uplot-python
Python wrapper for [μPlot](https://github.com/leeoniya/uPlot) 📈
## Installation
### From PyPI
```console
pip install uplot-python
```
## Usage
The `plot` function has the same API as µPlot's `uPlot.plot`:
```py
import numpy as np
import uplot
t = np.linspace(0.0, 1.0, 10)
data = [t, np.exp(0.42 * t)]
opts = {
"width": 1920,
"height": 600,
"title": "Example with plot",
"series": [{}, { "stroke": "red", }, ],
}
uplot.plot(opts, data)
```
For convenience, the library also provides a `plot2` function with additional defaults aimed at time series and line plots, for an experience closer to `matplotlib.pyplot.plot`:
```py
import numpy as np
import uplot
t = np.linspace(0.0, 1.0, 10)
uplot.plot2(
t,
[np.exp(0.1 * t), np.exp(-10.0 * t), np.cos(t)],
title="Example with plot2",
left_labels=["exp(A t)", "exp(-B t)", "cos(t)"],
)
```
## See also
- [µPlot](https://github.com/leeoniya/uPlot): A small (~45 KB min), fast chart for time series, lines, areas, ohlc & bars.
- [Matplotlib](https://matplotlib.org/stable/): Comprehensive library for creating static, animated, and interactive visualizations.
- [matplotlive](https://github.com/stephane-caron/matplotlive): Stream live plots to a Matplotlib figure.
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