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Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. To get started with Matplotlib, you need to import the pyplot submodule, which provides a MATLAB-like interface for plotting.
Example
import matplotlib.pyplot as pltimport numpy as np# Sample datax = np.linspace(0, 2 * np.pi, 200)y = np.sin(x)# Create a plotfig, ax = plt.subplots()ax.plot(x, y)# Display the plotplt.show()Copié !✕CopierIn this example, we import matplotlib.pyplot as plt and numpy as np. We then create sample data using numpy and plot it using Matplotlib.
Installation
To install Matplotlib, you can use either pip or conda:
pip install matplotlibCopié !✕Copieror
conda install -c conda-forge matplotlibCopié !✕CopierImportant Considerations
Quick start guide — Matplotlib 3.10.8 documentation
Quick start guide # This tutorial covers some basic usage patterns and best practices to help you get started with Matplotlib.
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Tutorials
Tutorials # This page contains a few tutorials for using Matplotlib. For the old …
Matplotlib Tutorial - W3Schools
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An Introduction to Matplotlib for Beginners - Simplilearn
Afficher plus sur simplilearn.comA bar graph presents data with heights and lengths proportional to the values they present. Syntax: ax.bar(x, height, width, bottom, align) Example: Fig: Bar graph-matplotlib tutorial The axes label is a region of the image with data space. An axes object is added to figure by the add_axes() method. The syntax for the axes object is: ax = fig.add_a...Matplotlib Tutorial for Beginners (Python) - YouTube
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Tutorials # This page contains a few tutorials for using Matplotlib. For the old tutorials, see below. For shorter examples, see our examples page. You can also …
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17 août 2023 · Matplotlib is a popular data visualization library for Python that provides a wide range of tools for creating various types of plots and charts. In this tutorial, we'll cover 15 key concepts of …
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