import matplotlib.pyplot as plt for grp in list_groups: plt.figure() plt.plot(grp) plt.show() Then python will plot different frames.

Jul 28, 2015 · To generate a new figure, you can add plt.figure() before any plotting that your program does. import matplotlib.pyplot as plt import numpy as np def make_plot(slope): x = …

matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a …

Oct 27, 2023 · This article shows how to dynamically update a Matplotlib (a data visualization library for Python programming language) plot as the data changes. It provides two methods to …

Aug 23, 2016 · import matplotlib.pylab as plt import numpy as np n = 10 x1 = np.arange(n) y1 = np.arange(n) fig1 = plt.figure() ax1 = fig1.add_subplot(111) ax1.plot(x1,y1) fig1.show() x2 = …

matplotlib.pyplot.plot# matplotlib.pyplot. plot (* args, scalex = True, scaley = True, data = None, ** kwargs) [source] # Plot y versus x as lines and/or markers. Call signatures:

Jan 4, 2022 · Define the x-axis and corresponding y-axis values as lists. Plot them on canvas using .plot () function. Give a name to x-axis and y-axis using .xlabel () and .ylabel () functions. …

Typically, you'll create a new Figure through one of the following functions: subplots() and subplot_mosaic are convenience functions that additionally create Axes objects inside the …

Feb 24, 2025 · Pyplot is a submodule of the Matplotlib library in Python providing a beginner-friendly tool for creating visualizations with minimal code. It helps transform dull data into …

Dec 14, 2024 · Learn how to use plt.figure () in Matplotlib to create and customize figures. Control figure size, DPI, background color and create professional data visualizations.