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Plot live data that updates in real time using matplotlib backend

Project description

live_plotter

Plot live data that updates in real time using matplotlib backend

Installing

Install:

pip install live_plotter

Usage

In this library, we have LivePlotter and FastLivePlotter. LivePlotter is more flexible and dynamic, but this results in slower updates. FastLivePlotter requires that the user specify the figure's shape from the beginning, but this allows it to update faster by modifying an existing plot rather than creating a new plot from scratch. Please refer to the associated example code for more details.

Live Plotter

python live_plotter.py

live_plotter

Fast Live Plotter

python fast_live_plotter.py

fast_live_plotter

Example Usage

import matplotlib.pyplot as plt
import numpy as np

from live_plotter import LivePlotterGrid

live_plotter_grid = LivePlotterGrid(default_title="sin")
x_data = []
x_data2 = []
for i in range(25):
    x_data.append(i)
    x_data2.append(i)

    live_plotter_grid.plot_grid(
        x_data_list=[np.array(x_data), np.array(x_data2)],
        y_data_list=[np.sin(x_data), np.cos(x_data2)],
        n_rows=2,
        title=["sin", "cos"],
    )
import matplotlib.pyplot as plt
import numpy as np

from live_plotter import FastLivePlotterGrid

live_plotter_grid = FastLivePlotterGrid(title="sin cos", n_rows=2, n_cols=1)
x_data = []
x_data2 = []
for i in range(25):
    x_data.append(i)
    x_data2.append(i)

    live_plotter_grid.plot_grid(
        x_data_list=[np.array(x_data), np.array(x_data2)],
        y_data_list=[np.sin(x_data), np.cos(x_data2)],
    )
import matplotlib.pyplot as plt
import numpy as np

from live_plotter import FastLivePlotterGrid

NUM_DATAS = 7
live_plotter_grid = FastLivePlotterGrid.from_desired_n_plots(
    title="exp", desired_n_plots=NUM_DATAS
)
x_data_list = [[] for _ in range(NUM_DATAS)]
y_data_list = [[] for _ in range(NUM_DATAS)]
for i in range(25):
    # Add new data
    for j in range(NUM_DATAS):
        x_data_list[j].append(i)
        y_data_list[j].append(np.exp(-j / 10 * i))

    live_plotter_grid.plot_grid(
        x_data_list=[np.array(x_data) for x_data in x_data_list],
        y_data_list=[np.array(y_data) for y_data in y_data_list],
    )

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