![Matplotlib Matplotlib](https://www.ubuntupit.com/wp-content/uploads/2019/07/matplotlib.jpg)
Posted on February 25, 2017 by Paul
Updated 26 January 2020 https://exoyellow802.weebly.com/how-to-sync-ipod-music-to-itunes-library-on-mac.html.
This is a short tutorial about installing Python 3 with NumPy, SciPy and Matplotlib on Windows. Native instruments kontakt 5 factory library v1.3.0 update mac.
Mac doesn’t have a preinstalled package manager, but there are a couple of popular package managers you can install. For Python 3.5 with Macports, execute this command in a terminal: sudo port install py35 - numpy py35 - scipy py35 - matplotlib py35 - ipython + notebook py35 - pandas py35 - sympy py35 - nose. The dynamically linking occurs when tkinter (Python 3) or Tkinter (Python 2) is first imported (specifically, the internal tkinter C extension module). By default, the macOS dynamic linker looks first in /Library/Frameworks for Tcl and Tk frameworks with the proper major version. This is the standard location for third-party or built from.
There is also a video version of this tutorial:
We’ll start by installing the latest stable version of Python 3, which at the time of this writing is 3.8. Head over to https://www.python.org/downloads/ and download the installer. The default Python Windows installer is 32 bits and this is what I will use in this article. If you need the 64 bits version of Python, check the Looking for a specific release? section from the above page.
Start the installer and select Customize installation. On the next screen leave all the optional features checked. Finally, on the Advanced Options screen make sure to check Install for all users, Add Python to environment variables and Precompile standard library. Optionally, you can customize the install location. I’ve used C:Python38. You should see something like this:
Press the Install button and in a few minutes, depending on the speed of your computer, you should be ready. On the last page of the installer, you should also press the Disable path length limit:
Now, to check if Python was correctly installed, open a Command Prompt (or a PowerShell) window. Press and hold the SHIFT key and right click with your mouse somewhere on your desktop, select Open command window here. Alternatively, on Windows 10, use the bottom left search box to search for cmd.
Write python in the command window and press Enter, you should see something like this:
Exit from the Python interpreter by writing quit() and pressing the Enter key.
Now, open a cmd window like before. Use the next set of commands to install NumPy, SciPy and Matplotlib:
![Matplotlib library python Matplotlib library python](https://i.ytimg.com/vi/S3srAo52rZI/maxresdefault.jpg)
After each of the above commands you should see Successfully installed ….
Launch Python from a cmd window and check the version of Scipy, you should see something like this:
Let’s try something a bit more interesting now, let’s plot a simple function with Matplotlib. First, we’ll import SciPy and Matplotlib with:
Next, we can define some points on the (0, 1) interval with:
Now, let’s plot a parabola defined by the above interval:
You should see something like this:
If you want to learn more about Python and Matplotlib, I recommend reading Python Crash Course by Eric Matthes. The book is intended for beginners, but has a nice Data Visualization intro to Matplotlib chapter:
Another good Python book, for more advanced users, which also uses Matplotlib for some of the book projects is Python Playground by Mahesh Venkitachalam:
Posted on October 4, 2016 by Paul
Updated 26 January 2020
In this article, I will show you how to install Python 3 with NumPy, SciPy and Matplotlib on macOS Catalina.
There is also a video version of this tutorial:
MacOS comes by default with Python 2.7 which, at this point, receives only bug fixes and will be EOL by 2020. Python 3.x is the future and it is supported by all major Python libraries. In this tutorial, we’ll use Python 3.8.
Start by installing the Command Line Tools for macOS. Please note, that you will need the Command Line Tools even if you’ve already installed Xcode. Open a Terminal and write:
Once the Command Line Tools are installed, we can install Python.
The official installer of Python is a pkg file that will start a GUI installer which will guide you through the installation. You can also check the video version of this tutorial if you want to see how I did it.
As a side note, you can have multiple Python 3 versions installed on your macOS machine. If this is the case, you can select which version you want to use by specifying the version number, e.g.:
Matplotlib Examples
or:
After the above, you can invoke Python 3.8 using the python3.8 command. python3 will also invoke the latest installer version of Python 3. This is what I see if I run python3.8 on my machine:
Next, let’s follow best practices and create a new Python environment in which we can install NumPy, SciPy and Matplotlib:
At this point, your prompt should indicate that you are using the work environment. You can read more about Python environment in the documentation.
Once an environment is activated, all the install commands will apply only to the current environment. By default, if you close your Terminal, the environment is deactivated. If you want to be able to use it, use the source work/bin/activate command.
We can install NumPy, SciPy and Matplotlib with:
As a side note, when you are in an active environment you can use the python command to invoke the Python interpreter, no need to use the version number.
Fire up Python, import scipy and print the version of the installed library. This is what I see on my machine:
Let’s try something a bit more interesting now, let’s plot a simple function with Matplotlib. First, we’ll import SciPy and Matplotlib with:
Next, we can define some points on the (0, 1) interval with:
Now, let’s plot a parabola defined on the above interval:
You should see something like this:
As you’ve probably noticed, plt.show() is a blocking command. You won’t be able to use the interpreter until you close Figure 1.
There is also an interactive mode in which you can plot functions. Close Figure 1 and write:
Matplotlib Library Python
This is what you should see:
At any point you can disable the interactive plot mode with:
after which you will need to use the plt.show() function in order to actually see the result of the plt.plot function.
If you want to learn more about Python and Matplotlib, I recommend reading Python Crash Course by Eric Matthes. The book is intended for beginners, but has a nice Data Visualization intro to Matplotlib chapter:
Another good Python book, for more advanced users, which also uses Matplotlib for some of the book projects is Python Playground by Mahesh Venkitachalam: