Which of the following is correct to import the matplotlib library

In this matplotlib library, What is matplotlib, How to use it and we shall also cover the following topics: • What is matplotlib • Features of matplotlib • Matplotlib environment setup • Importing matplotlib library • Matplotlib pyplot API • Types of plots in matplotlib • Image functions in matplotlib • Axis functions in matplotlib • Figure functions in matplotlib Table of Contents • • • • • • • • • What is matplotlib There are numerous libraries present in Python. And Matplotlib is one of the most successful and commonly used libraries, that provide various tools for data visualization in Python. It is one of the most powerful plotting libraries in Python. It is a cross-platform library that provides various tools to create 2D plots from the data in lists or arrays in python. It was created and coded by John D. Hunter in Python programming language in 2003. The current stable version of matplotlib is 3.4.2, that released on 8 May 2021. It makes use of NumPy, a library that provides the numerical mathematical extension for Python. It also provides an object-oriented API that enables it, in extending the functionality to put the static plots in applications by using various It provides a user to visualize data using a variety of different types of plots to make data understandable. You can use, these different types of plots (scatterplots, histograms, bar charts, errorcharts, boxplots, etc.) by writing few lines of code in python. You can use the matplotlib package in any P...

In this article Applies to: Visual Studio Visual Studio for Mac Visual Studio Code Previous step: The Python developer community has produced thousands of useful packages that you can incorporate into your own projects. Visual Studio provides a UI to manage packages in your Python environments. View environments • Select the View> Other Windows> Python Environments menu command. The Python Environments window opens as a peer to Solution Explorer and shows the different environments available to you. The list shows both environments that you installed using the Visual Studio installer and environments you installed separately. That includes global, virtual, and conda environments. The environment in bold is the default environment that's used for new projects. For more information about working with environments, see Note You can also use the Ctrl+K, Ctrl+` keyboard shortcut to open the Python Environments window from the Solution Explorer window. If the shortcut doesn't work and you can't find the Python Environments window in the menu, it's possible that you haven't installed the Python workload. See With a Python project open, you can open the Python Environments window from Solution Explorer. Right-click Python Environments and select View All Python Environments. • Now, create a new project with File> New> Project, selecting the Python Application template. • In the code file that appears, paste the following code, which creates a cosine wave like the previous tutorial...

python -m pip install -U pip python -m pip install -U matplotlib If this command results in Matplotlib being compiled from source and there's trouble with the compilation, you can add --prefer-binary to select the newest version of Matplotlib for which there is a precompiled wheel for your OS and Python. Note The following backends work out of the box: Agg, ps, pdf, svg Python is typically shipped with tk bindings which are used by TkAgg. For support of other GUI frameworks, LaTeX rendering, saving animations and a larger selection of file formats, you can install Optional dependencies. Third-party distributions Various third-parties provide Matplotlib for their environments. Conda packages Matplotlib is available both via the anaconda main channel conda install -c conda-forge matplotlib Python distributions Matplotlib is part of major Python distributions: • • • Linux package manager If you are using the Python version that comes with your Linux distribution, you can install Matplotlib via your package manager, e.g.: • Debian / Ubuntu: sudo apt-get install python3-matplotlib • Fedora: sudo dnf install python3-matplotlib • Red Hat: sudo yum install python3-matplotlib • Arch: sudo pacman -S python-matplotlib Installing a nightly build Matplotlib makes nightly development build wheels available on the pip by specifying scipy-wheels-nightly as the package index to query: python -m pip install \ --upgrade \ --pre \ --index-url https://pypi.anaconda.org/scipy-wheels-nightly/sim...

import matplotlib.pyplot as plt import numpy as np x = np . linspace ( 0 , 2 * np . pi , 200 ) y = np . sin ( x ) fig , ax = plt . subplots () ax . plot ( x , y ) plt . show () ( Source code, png) If a plot does not show up please check Troubleshooting. Where to go next • Check out Plot types to get an overview of the types of plots you can create with Matplotlib. • Learn Matplotlib from the ground up in the Quick-start guide.

I've been attempting to install Matplotlib for a graphing project in Python. In accordance with recommendation from the Matplotlib website, I installed Anaconda as a pre-packaged python distributor. Anaconda seems to have installed correctly. To install matplotlib, I typed in the command line: pip install matplotlib Which brings up multiple messages stating: "Requirement already satisfied." When in my python script I typed: import matplotlib.pyplot as plt I received an error message stating: ImportError: No module named matplotlib.pyplot I'm using an old Windows XP operating system. I've looked everywhere for help, and have tried installing matplotlib numerous times via the command line! Any help would be greatly appreciated... Thank you!! Make sure your version of pip corresponds to your version of python. One way to do this is the following: python -m pip install matplotlib The -m for module means that it will look in the site-packages for that python for the pip module. You can also do: >>> import sys >>> print("\n".join(sys.path)) to list the path as understood by python, then check whether matplotlib is indeed on one of the listed paths (usually site-packages). To find the locations of pip and python use the following on the Windows console: where python where pip From the path you should be able to determine whether pip and python are from the same package. If not, uninstall one of the python installations, or at least remove it from the PATH variable. Assuming you l...

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