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Using Matplotlib With Jupyter Notebook GeeksforGeeks

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9 hours ago To install Matplotlib, open the Anaconda Prompt and type: conda install matplotlib Using Matplotlib with Jupyter Notebook After the installation is completed. Let’s start using Matplotlib with Jupyter Notebook. We will be plotting various graphs in the Jupyter Notebook using Matplotlib. Line Plot # importing matplotlib module

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Matplotlib In Jupyter Notebook Vegibit

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1 hours ago Matplotlib In Jupyter Notebook Matplotlib is a Python library that is used often with Jupyter Notebook. The module in matplotlib that is used is called pyplot. In this tutorial, we’ll learn a little bit about matplotlib and how to use it in Jupyter Notebook. Matplotlib.pyplot provides a MATLAB-like way of plotting.

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Using Matplotlib In Jupyter Notebooks — Comparing …

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7 hours ago If you want to add plots to your Jupyter notebook and are wondering on interactive vs non-interactive and other tricks this is a good place to start. just a random plot Before you start, please

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How To Produce Interactive Matplotlib Plots In Jupyter

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Just Now Leveraging the Jupyter interactive widgets framework, IPYMPL enables the interactive features of matplotlib in the Jupyter notebook and in JupyterLab. IPYMPL in Jupyter Lab To enable interactive visualization backend, you only need to use the Jupyter magic command: %matplotlib widget Now, let us visualize a matplotlib plot.

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Category: Jupyter notebook matplotlib inline

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GitHub Fperez/jupytermatplotlib: Matplotlib Jupyter

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4 hours ago jupyter-matplotlib Matplotlib Jupyter Extension. This repository contains code for the Matplotlib Jupyter widget, stripped out of the main matplotlib repository. It requires matplotlib 2.0 or and ipywidgets 7.0 more recent.

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Python How To Display Matplotlib Plots In A Jupyter Tab

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Just Now Add %matplotlib inlineat the top of the cell Replace your display(fig)calls with plt.show(fig)calls. %matplotlib inline import matplotlib.pyplot as plt import pandas as pd import ipywidgets as widgets import numpy as np out1 = widgets.Output() out2 = widgets.Output() data1 = pd.DataFrame(np.random.normal(size = 50))

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Dynamically Updating Matplotlib Figures In Jupyter Notebooks

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6 hours ago Dynamically updating Matplotlib figures in Jupyter notebooks. Updating matplotlib figures dynamically seems to be a bit of a hassle, but the code below seems to do the trick. This is an example that outputs a figure with multiple subplots, each with multiple plots. Oddly enough, at the time of writing the image will be smaller than the figure

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Creating Plots In Jupyter Notebooks — Python Data And

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7 hours ago Next we will use functions for matplotlib.pyplot to add labels for each axis. It is possible to include subscripts and Greek letters in matplotlib figure labels using LaTeX. Here is a link to a helpful site about using markdown (used for the text cells in Jupyter notebook) and LaTeX in Jupyter notebooks by Khelifi Ahmed Aziz.

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How To Use "%matplotlib Inline" (With Examples) Statology

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4 hours ago Here’s what the output looks like in the Jupyter notebook: Notice that the code runs without any errors again and the plot is displayed inline in the notebook. Note that once we’ve used %matplotlib inline, any Matplotlib plots that we create in any future cells in the notebook will also be displayed and store within the notebook.

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GitHub Matplotlib/ipympl: Matplotlib Jupyter Integration

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6 hours ago Leveraging the Jupyter interactive widgets framework, ipympl enables the interactive features of matplotlib in the Jupyter notebook and in JupyterLab. Besides, the figure canvas element is a proper Jupyter interactive widget which can be positioned in interactive widget layouts. Usage

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How To Install Matplotlib On Jupyter Notebook Quora

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9 hours ago jupyter notebook Create a new notebook and paste this in the first cell for example: %matplotlib inline import matplotlib import numpy as np import matplotlib.pyplot as plt x = np.linspace (0.1,10) line = plt.plot (x, np.log (x),'--',linewidth = 1) 21K views View upvotes Hitesh Gorana Answered 3 years ago First create the virtual in Anaconda Prompt

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What Is Matplotlib Inline Python Guides

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1 hours ago Read: Python sort list of tuples matplotlib inline vs notebook. When you want to add a plot in your IPython notebook (jupyter notebook), then you can use the magic function %matplotlib with different arguments according to the need. Arguments can be inline, notebook, qt, etc., which will open the figure in a window. %matplotlib inline: You can use this command …

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Jupyter Notebook’s — Cool Tricks Timing Cells, Making

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4 hours ago Jupyter Notebook’s — cool tricks- timing cells, making slides, debugging and many more you can set up matplotlib to work interactively in the notebook with %matplotlib. Magic commands are

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Matplotlib Jupyter Notebook Tutorialspoint

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3 hours ago Matplotlib - Jupyter Notebook Advertisements Previous Page Next Page Jupyter is a loose acronym meaning Julia, Python, and R. These programming languages were the first target languages of the Jupyter application, but nowadays, the notebook technology also supports many other languages. In 2001, Fernando Pérez started developing Ipython.

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IPython, Jupyter Notebooks, And Matplotlib

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4 hours ago Fortunately, I discovered Jupyter Notebooks. These are brower-based platforms that make managing matplotlib-based images far easier by keeping information unified in one screen. To start a notebook session, I type in ipython notebook on the command line, which opens up a web browser (for me, it’s Firefox).

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Visualization With Matplotlib Python Data Science Handbook

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9 hours ago Matplotlib is a multi-platform data visualization library built on NumPy arrays, and designed to work with the broader SciPy stack. It was conceived by John Hunter in 2002, originally as a patch to IPython for enabling interactive MATLAB-style plotting via …

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Jupyter Notebook Plotting Tutorialspoint

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8 hours ago Jupyter Notebook - Plotting. IPython kernel of Jupyter notebook is able to display plots of code in input cells. It works seamlessly with matplotlib library. The inline option with the %matplotlib magic function renders the plot out cell even if show () function of plot object is not called. The show () function causes the figure to be

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Matplotlib Animations In Jupyter Notebook By B. Chen

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5 hours ago In order to create an interactive plot in Jupyter Notebook, you first need to enable interactive plot as follows: # Enable interactive plot %matplotlib notebook After that, we import the required libraries. Especially FuncAnimation class that can be used to create an animation for you. import matplotlib.pyplot as plt

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Matplotlib In Jupyter Notebook Studytonight

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2 hours ago In this tutorial, we will cover an introduction to the Jupyter Notebook in which we will create visualizations using Matplotlib module and we will also cover the main features of Jupyter Notebook. Jupyter Notebook is an open-source web application with the help of which one can create and share documents containing live python code

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Jupyter Notebook And Matplotlib Using The Olympics Chegg.com

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8 hours ago Jupyter Notebook and Matplotlib Using the Olympics data, create a histogram of total medals and a medal count pie chart of the top ten countries. Clean the data using pandas and explain using comments. Use total count of medals to do the …

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Data Analysis And Visualization With Pandas And Jupyter

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5 hours ago pip install matplotlib pip install seaborn The numpy package will also be installed if you don’t have it already. Now we can start up Jupyter Notebook: jupyter notebook Once you are on the web interface of Jupyter Notebook, you’ll see the names.zip file there. To create a new notebook file, select New > Python 3 from the top right pull-down

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Tutorials — Matplotlib 3.5.0 Documentation

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Just Now Matplotlib has support for visualizing information with a wide array of colors and colormaps. These tutorials cover the basics of how these colormaps look, how you can create your own, and how you can customize colormaps for your use case. Download all examples in Jupyter notebooks: tutorials_jupyter.zip. Keywords: matplotlib code example

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Builtin Magic Commands — IPython 7.30.1 Documentation

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4 hours ago If the latter, the file can be either a script with .ipy extension, or a Jupyter notebook with .ipynb extension. When running a Jupyter notebook, the output from print statements and other displayed objects will appear in the terminal (even matplotlib figures will open, if a terminal-compliant backend is being used).

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Quiver Plots Using Python, Matplotlib And Jupyter Notebooks

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4 hours ago Install matplotlib and numpy¶. To create the quiver plots, we'll use Python, matplotlib, numpy and a Jupyter notebook. I recommend undergraduate engineers use the Anaconda distribution of Python, which comes with matplotlib, numpy and Jupyter notebooks pre-installed installed. If matplotlib, numpy and Jupyter are not available, these packages …

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Kernel Dying In Jupyter Notebook With Matplotlib : Learnpython

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2 hours ago conda create -n idp intelpython3_full python=3. From there, I created an IDP environment and launched the Jupyter notebook with. conda activate idp jupyter notebook. Finally, I ran import matplotlib and the kernel did not die! To be sure, I also plotted a blank Cartesian coordinate plane which loaded successfully as well.

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Embedding Matplotlib Animations In Jupyter Notebooks

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9 hours ago In particular, Matplotlib 1.5.1 now supports inline display of animations in the notebook with the to_html5_video method, which converts the animation to an h264 encoded video and embeddeds it directly in the notebook. In this notebook, we reproduce Jake VanderPlas' blog post with this new feature. In [1]: %matplotlib inline.

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Make 3D Interactive Matplotlib Plot In Jupyter Notebook

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6 hours ago Note: We must needed to add ” %matplotlib widget “, it is a Jupyter magic widget and used to tell jupyter to use interactive backend for plot. We have to add it to the top of the script to create an interactive plot in the ipython notebook (i.e. Jupyter notebook, Google Colab, Kaggle Kernel, etc.) to renders the figure as an interactive figure.

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Matplotlib Tutorial For Data Visualization

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Just Now How to use Matplotlib Before using matplotlib, we need to import the package. This can be done using the ‘import’ method in Jupyter notebook. PyPlot is the graphical module in matplotlib which is mostly used for data visualisation, importing PyPlot is sufficient to work around data visualisation.

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Jupyter Notebook Tutorial In Python Plotly

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2 hours ago Jupyter notebook tutorial on how to install, run, and use Jupyter for interactive matplotlib plotting, data analysis, and publishing code New to Plotly? Plotly is a free and open-source graphing library for Python.

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Plotting Datasets Using Jupyter, Pandas And Matplotlib

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2 hours ago To do that, just install pandas and matplotlib. First, install libraries with pip. Enter in command prompt or terminal: python -m pip install pandas; python -m pip install matplotlib; python3 -m pip install jupyter; Then, run Jupyter Notebook. jupyter notebook 1. Chicago Red Light Camera Violations (2014 – 2019)

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How To Use Jupyter Notebook In 2020: A Beginner’s Tutorial

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6 hours ago How to Use Magics in Jupyter. A good first step is to open a Jupyter Notebook, type %lsmagic into a cell, and run the cell. This will output a list of the available line magics and cell magics, and it will also tell you whether "automagic" is turned on. Line magics operate on a single line of a code cell.

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Bar Charts With Error Bars Using Python, Jupyter Notebooks

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8 hours ago # import packages from statistics import mean, stdev import matplotlib.pyplot as plt #include if using a jupyter notebook, remove if using a .py file % matplotlib inline Create two variables which contains the data for ABS and HIPS as a list of individual tensile strength values. ¶

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Magic Commands Problem Solving With Python

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9 hours ago A typical start to a Jupyter notebook using Matplotlib might start as: import numpy as np import pandas as pd import matplotlib.pyplot as plt %matplotlib inline %load. The %load command loads a Python module, webpage or file into a Jupyter notebook. If there is a file called hello.py in the same directory as the notebook with some Python code

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16.04 Kernel Dead In Jupyter Notebook, Matplotlib Seems

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9 hours ago Installing Jupyter, matplotlib and whatever else you need with pip is easy and straightforward in virtualenv. virtualenv allows you to create a sandboxed and isolated environment where Python packages can be installed without interfering with other packages on the same machine.

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Ipywidgets With Matplotlib – Kapernikov

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Just Now matplotlib 3.1.3. NumPy 1.18.1. ipywidgets 7.5.1. ipympl 0.4.1. To get started, we set the ipympl backend, which makes matplotlib plots interactive. We do this using a magic command, starting with %. We also import some libraries: matplotlib for plotting, NumPy to generate data, and ipywidgets for obvious reasons.

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Creating Multiple Subplots Using Plt.subplots — Matplotlib

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3 hours ago Creating multiple subplots using plt.subplots ¶. pyplot.subplots creates a figure and a grid of subplots with a single call, while providing reasonable control over how the individual plots are created. For more advanced use cases you can use GridSpec for a more general subplot layout or Figure.add_subplot for adding subplots at arbitrary locations within the figure.

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Interactive Plots In Jupyter Notebook Bartosz Mikulski

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1 hours ago You can draw an interactive plot in Jupyter Notebook (with matplotlib) if you run this code before drawing the plot: 1. %matplotlib notebook. The interactive plot looks like this and supports zooming: Note that you must run this line before every interactive plot you want to create. Also, the plot remains interactive until you call

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IPython And Jupyter Install Jupyter, IPython Notebook

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1 hours ago Just closing the browser (or the tab) will not close the Jupyter Notebook App. To completely shut it down we need to close the associated terminal. IPython: Jupyter. iPython and Jupyter - Install Jupyter, iPython Notebook, drawing with Matplotlib, and publishing it to Github; iPython and Jupyter Notebook with Embedded D3.js

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Embedding Matplotlib Animations In Jupyter As Interactive

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3 hours ago A while back I wrote a post on Embedding Matplotlib Animations in Jupyter Noteboks, which became surprisingly popular. It outlined how to render Matplotlib animations in the Jupyter Notebook, by encoding it as a HTML5 video using the to_html5_video method introduced in the release of Matplotlib 1.5.

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Saving Plots Problem Solving With Python

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4 hours ago Calling plt.savefig() after calling plt.show() can be problematic when building plots in a Jupyter notebook with %matplotlib inline enabled. A standard savefig() command is: plt.savefig('plot.png', dpi=300, bbox_inches='tight') Where 'plot.png' is …

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Python Numpy Tutorial (with Jupyter And Colab)

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7 hours ago Matplotlib. Plotting; Subplots; Images; Jupyter and Colab Notebooks. Before we dive into Python, we’d like to briefly talk about notebooks. A Jupyter notebook lets you write and execute Python code locally in your web browser. Jupyter notebooks make it very easy to tinker with code and execute it in bits and pieces; for this reason they are

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Jupyter ModuleNotFoundError: No Module Named 'matplotlib

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6 hours ago Show activity on this post. I cannot draw a plot in a jupyter notebook. It says: "ModuleNotFoundError: No module named 'matplotlib' " even though I have installed the matplotlib. I have Ubuntu 18.04 as OS. (By the way, I noticed that I have several python versions in my /usr/lib like, python2.7, python3 ; 3.6; 3.7 .) jupyter matplotlib.

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(Tutorial) Jupyter Notebook: The Definitive Guide DataCamp

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Just Now Jupyter Notebook Tutorial: The Definitive Guide. This tutorial explains how to install, run, and use Jupyter Notebooks for data science, including tips, best practices, and examples. As a web application in which you can create and share documents that contain live code, equations, visualizations as well as text, the Jupyter Notebook is one of

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Advanced Jupyter Notebook Tutorial – Dataquest

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6 hours ago Tutorial: Advanced Jupyter Notebooks. Published: January 2, 2019. Lying at the heart of modern data science and analysis is the Jupyter project lifecycle. Whether you’re rapidly prototyping ideas, demonstrating your work, or producing fully fledged reports, notebooks can provide an efficient edge over IDEs or traditional desktop applications.

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Frequently Asked Questions

What is the Jupyter Notebook?

The Jupyter Notebook. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

How to produce interactive Matplotlib plots in Jupyter environment?

To enable the interactive mode in the jupyter notebook, you need to run the following magic function before every plot you make. After calling the function, import the matplotlib library as usual and start making a plot. Let us take an example from a previous article on how to make a line plot, link: Line Chart Plotting in Python using Matplotlib

What is Jupiter notebook Python?

Jupyter Notebook (open source code), which began as the iPython Notebook project, is a development environment for writing and executing Python code. Jupyter Notebook is often used for exploratory data analysis and visualization.

What is Jupyter Python?

Jupyter is a great tool that provides a python environment in a web browser. It extends more or less the interactive python interpreter on the command line with a web-based user interface and some enhanced visualization capabilities (e.g. matplotlib).

About Jupyter Notebook Matplotlib

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