This is the first release of uplot-python, a Python wrapper for μPlot 📈
Installation
pip install uplot-python
Usage
The plot
function has the same API as µPlot's uPlot.plot
:
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 uplot.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
:
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 uplot.plot2",
left_labels=["exp(A t)", "exp(-B t)", "cos(t)"],
)
See also
- µPlot: A small (~45 KB min), fast chart for time series, lines, areas, ohlc & bars.
- Matplotlib: Comprehensive library for creating static, animated, and interactive visualizations.
- matplotlive: Stream live plots to a Matplotlib figure.