Simple Plots

Simple plots take in a list and plot y-axis data against the number of items in the list. These can be line graphs or histograms and are demonstrated below

import dearpygui.dearpygui as dpg

dpg.create_context()

with dpg.window(label="Tutorial", width=500, height=500):
    dpg.add_simple_plot(label="Simpleplot1", default_value=(0.3, 0.9, 0.5, 0.3), height=300)
    dpg.add_simple_plot(label="Simpleplot2", default_value=(0.3, 0.9, 2.5, 8.9), overlay="Overlaying", height=180,
                        histogram=True)

dpg.create_viewport(title='Custom Title', width=800, height=600)
dpg.setup_dearpygui()
dpg.show_viewport()
dpg.start_dearpygui()
dpg.destroy_context()

You can change the simple plot’s data using set_value.

Here we are using a mouse move handler and each callback that runs will set the plot data to make it animated!

import dearpygui.dearpygui as dpg
from math import sin

dpg.create_context()


def update_plot_data(sender, app_data, plot_data):
    mouse_y = app_data[1]
    if len(plot_data) > 100:
        plot_data.pop(0)
    plot_data.append(sin(mouse_y / 30))
    dpg.set_value("plot", plot_data)


data = []
with dpg.window(label="Tutorial", width=500, height=500):
    dpg.add_simple_plot(label="Simple Plot", min_scale=-1.0, max_scale=1.0, height=300, tag="plot")

with dpg.handler_registry():
    dpg.add_mouse_move_handler(callback=update_plot_data, user_data=data)

dpg.create_viewport(title='Custom Title', width=800, height=600)
dpg.setup_dearpygui()
dpg.show_viewport()
dpg.start_dearpygui()
dpg.destroy_context()

Results