Matplotlib Visual Studio Code

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Installing matplotlib

Execute it (either selecting the code or using the Run cell code lens). The result is a static graph displayed in the Results window #%% import matplotlib.pyplot as plt import matplotlib as mpl import numpy as np x = np.linspace(0, 20, 100) plt.plot(x, np.sin(x)) plt.show Interactive Plot using D3js. Paste the following code in a python file. If you have trouble installing matplotlib using pip, try leaving off the -user flag. Installing matplotlib on Windows. To install matplotlib on Windows you’ll first need to install Visual Studio, which will help your system install the packages that matplotlib depends on. Matplotlib doesn’t display correctly in Visual Studio Code. 29th March 2021 Uncategorised. I am trying to create a plot made of 5 subplots made of simple line graphs using Matplotlib and Pandas on Visual Studio code. However, for some reason the image always looks very small and clumped up even if I make the figure very big. Visual Studio Code and the Python extension provide a great editor for data science scenarios. With native support for Jupyter notebooks combined with Anaconda, it's easy to get started. In this section, you will create a workspace for the tutorial, create an Anaconda environment with the data science modules needed for the tutorial, and create.

Installing matplotlib

There are many different ways to install matplotlib to your system. In this section, I’ll recommend one method for each operating system. If you’d like to see the kinds of visualizations you can make with matplotlib, see the official matplotlib sample gallery. When you click a visualization in the gallery, you can see the code used to generate the plot.

Checking if matplotlib is already installed

First, check if matplotlib is already installed on your system:

If you don’t see an error message, then matplotlib is already installed on your system and you should be able to get started right away on this chapter’s projects. If you get an error message, read the appropriate section below for help installing matplotlib on your operating system.

Simple installation with pip

The matplotlib developers have been working hard to simplify the installation process, and sometimes you can install it using just pip. Try this and see if works on your system:

If you need help using pip, see the instructions in Chapter 12. If this doesn’t work, try leaving off the --user flag.

If the installation seems to run without errors, try importing matplotlib:

If the import runs successfully, you’re finished and you can start using matplotlib. If the import statement fails, look at the appropriate section below for your operating system.

Installing matplotlib on Linux

If you’re using the version of Python that came with your system, you can use your system’s package manager to install matplotlib in one line. For Python 3, this is:

Matplotlib Inline Visual Studio Code

If you’re using Python 2.7, this is:

Visual Studio Code Matplotlib Intellisense

If you installed a newer version of Python, you’ll have to install several libraries that matplotlib depends on:

Then use pip to install matplotlib:

If you need help using pip, see the instructions in Chapter 12.

Installing matplotlib on OS X

Aple includes matplotlib with its standard Python installation, so make sure you check if it’s already installed before installing it yourself.

If matplotlib is not already installed and you used Homebrew to install Python, install it like this:

If you need help using pip, see the instructions in Chapter 12. If you have trouble installing matplotlib using pip, try leaving off the --user flag.

Installing matplotlib on Windows

F# Interactive Visual Studio

To install matplotlib on Windows you’ll first need to install Visual Studio, which will help your system install the packages that matplotlib depends on. Go to https://dev.windows.com/, click Downloads, and look for Visual Studio Community. This is a free set of developer tools for Windows. Download and run the installer.

Next you’ll need an installer for matplotlib. Go to https://pypi.python.org/pypi/matplotlib/ and look for a wheel file (a file ending in .whl) that matches the version of Python you’re using. For example, if you’re using a 32-bit version of Python 3.5, you’ll need to download matplotlib-1.4.3-cp35-none-win32.whl.

If you don’t see a file matching your installed version of Python, look at what’s available at http://www.lfd.uci.edu/~gohlke/pythonlibs/#matplotlib. This site tends to release installers a little earlier than the official matplotlib site.

Copy the .whl file to your project folder, open a command window, and navigate to the project folder. Then use pip to install matplotlib:

If you need help using pip, see the instructions in Chapter 12.

Installing Pygal

Pygal has been updated recently, which is a good thing; you’re learning a library that’s being steadily improved. This also means you have two choices about how to install Pygal. You can install version 1.7 which supports the code in the book exactly as it’s written, or you can install the most recent version of Pygal and modify some of the code in the book. If you install the most recent version there are some slight changes you’ll need to make for the code in chapter 16.

Running Pygal code exactly as it appears in the book

Pygal 1.7 allows the code to run exactly as it appears in the book. To do this, modify the command for installing pygal so pip will install version 1.7 (page 340):

On Windows, this would be:

If you’ve already installed Pygal you can see which version was installed by running the command pip freeze:

If you installed Pygal 2.0 or later and want to install 1.7 instead, uninstall Pygal first:

Install Matplotlib Visual Studio Code

Using the latest version of Pygal

The latest version of Pygal is version 2.2.3. This is the version that will be installed if you don’t specify a version for pip to install:

If you use the latest version, you’ll need to make some slight changes to the code in chapter 16:

Updates

Pygal has been updated to version 2; make sure you’ve read the notes about installing Pygal above.

On the latest version of Pygal, the code from Chapter 15 runs as it’s written in the book. In Pygal versions 2.0-2.1.1, there was a change to a default setting that caused tooltips not to appear. That change has been reverted, so the code in the book is still correct. If you’re using one of these versions you can upgrade your installation of Pygal:

This should upgrade your installation to the latest version of Pygal, and your code should work as it’s written.