# Matplotlib Github

Highlights of this release include: - GUI backend is selected at run-time based on what toolkits are installed. org to download. cache file in order for matplotlib to find them. Welcome to a Matplotlib with Python 3+ tutorial series. There are many different ways to install matplotlib to your system. An important question when considering whether to use matplotlib for animation is what kind of speed you need. There are two main components for the widget. Before showing some pretty plots, let's create a couple of convenience functions. Matplotlib is a Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. This widget is capable of displaying different types of plots, which are implemented separately. Create your free GitHub account today to subscribe to this repository for new releases and build software alongside 40 million developers. Sign up Anatomy of Matplotlib -- tutorial developed for the SciPy conference. Merge the most recent 'doc' branch (v3. GitHub stats for 2018/09/18 - 2018/11/09 (tag: v3. Bringing Matplotlib to the Browser mpld3_demo « sliderPlugin :: Contents :: interactive_legend » sliderPlugin. By integrating consensus from mailing list discussions, I will refine and polish this vision and form a plan of action such that the community can move the numpy+scipy+ipython+matplotlib ensemble closer to the vision outlined below. The philosophy behind this vision is to consider Rails and Ruby; while Ruby was somewhat popular beforehand, it was Rails which propelled it to the forefront. Matplotlib compiled fine, but nothing shows up when I use it¶. The easiest way to run Python, Spyder with SciPy and friends out of the box on any Windows PC, without installing anything! Project Home is on Github , downloads pages are on Sourceforge and Github , md5-sha , Discussion Group. Matplotlib has an imperative API which is often overly verbose. Palettable (formerly brewer2mpl) is a library of color palettes for Python. Matplotlib is a plotting library. Visit the installation page to see how you can download the package. It relies on some backend to actually render the plots. Matplotlib was initially designed with only two-dimensional plotting in mind. Highlights of this release include: - GUI backend is selected at run-time based on what toolkits are installed. This tutorial was contributed by Justin Johnson. 如果你对坐标显示还有特殊要求,他都能满足你的要求. This example shows how a D3 plugin can be created to make plot elements draggable. wxmplot provides wxPython widgets and python functions for displaying numerical data. Zobacz pełny profil użytkownika Michal Kosinski i odkryj jego(jej) kontakty oraz pozycje w podobnych firmach. The latex integration is a clear advantage over excel. And let's face it, it's just plain ugly. When to use the cosine similarity? Let’s compare two different measures of distance in a vector space, and why either has its function under different circumstances. Python(x,y) - the scientific Python distribution. Data Analytics Skills: programming in Python (Pandas, Matplotlib, Sklearn) and R, data dumping, data analysis techniques (data cleansing, data preparation, data visualization), exploratory data analysis and inferential statistics, bayesian statistics, supervised and unsupervised machine learning, SQL, Hadoop, HDFS, MapReduce, Spark (see GitHub Profile below). There are two main components for the widget. GitHub Stats for Matplotlib 3. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Matplotlib uses numpy for numerics. jl development by creating an account on GitHub. Matplotlib is hosted on Github. Matplotlib è una libreria per la creazione di grafici per il linguaggio di programmazione Python e la libreria matematica NumPy. Sometimes poor stylistic defaults. This matplotlib tutorial covers how to plot bar chart, set xticks, plot multiple variables in bar chart, barh to plot horizontal bar charts. finance module along with a few examples of usage. But, what if I think those colormaps are ugly? Well, just make your own using matplotlib. Enter Matplotlib, a beautiful (though complex) plotting tool written in Python. A tutorial on better scientific graphics with Matplotlib. You need to have a working Django installation, plus matplotlib. Despite being written entirely in python, the library is very fast due to its heavy leverage of numpy for number crunching and Qt's GraphicsView framework for fa. Generally you will not need to explicitly set the backend on a. I have discussed about multiple types of plots in python matplotlib such as bar plot, scatter plot, pie plot, area plot etc. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display. The first thing to try is a clean install and see if that helps. Skip to content. It provides a high-level interface for drawing attractive and informative statistical graphics. I am trying to use IPython notebook on MacOS X with Python 2. Everything on this site is available on GitHub. And let's face it, it's just plain ugly. A book about scientific and technical computing using Python. This mapping occurs using a couple of different classes: matplotlib. Drawing¶ NetworkX provides basic functionality for visualizing graphs, but its main goal is to enable graph analysis rather than perform graph visualization. import matplotlib import numpy as np import matplotlib. Update: After posting an issue to the matplotlib project at Github, I was able to track down the source of my problem: I had changed the figure. A tutorial on better scientific graphics with Matplotlib. Matplotlib compiled fine, but nothing shows up when I use it¶. GitHub: Related. A cheat sheet for scientific python. Hover over the points to see the point labels. It relies on some backend to actually render the plots. Python(x,y) is now available in two versions: Full Edition (all Python packages are installed) and Basic Edition (with essential Python libraries only: PyQt4, NumPy, SciPy, IPython and matplotlib) SWIG 1. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Gridding_irregularly_spaced_data. Linked Brushing Example. jl development by creating an account on GitHub. interpolate import griddata pyplot is my graphic engine today, cm is a range of color maps with some initeresting choice. A book about scientific and technical computing using Python. 0) These lists are automatically generated, and may be incomplete or contain duplicates. sklearn-theano. Using MatPlotLib to dynamically generate charts in a Django web service. Skip to content. By integrating consensus from mailing list discussions, I will refine and polish this vision and form a plan of action such that the community can move the numpy+scipy+ipython+matplotlib ensemble closer to the vision outlined below. Realtime plotting with Matplotlib. Source code listings are available in the form of IPython notebooks, which can be downloaded or viewed online. A stopPropagation command is used to allow the drag behavior and pan/zoom behavior to work in tandem. If you are interested in maintaining the code please get in touch via [email protected] A cheat sheet for scientific python. Scatter Plot With Tooltips. Matplotlib is a plotting library. Matplotlib is hosted on Github. Embedding Matplotlib Plots in PyQt5. Now I'm getting into how MPL works. What's New in 0. Matplotlib è una libreria per la creazione di grafici per il linguaggio di programmazione Python e la libreria matematica NumPy. 2 years ago matplotlib released /matplotlib/matplotlib-1. interpolate import griddata pyplot is my graphic engine today, cm is a range of color maps with some initeresting choice. GitHub stats for 2014/08/26 - 2016/09/08 (tag: v1. The latex integration is a clear advantage over excel. A book about scientific and technical computing using Python. I decided t. Data Analytics Skills: programming in Python (Pandas, Matplotlib, Sklearn) and R, data dumping, data analysis techniques (data cleansing, data preparation, data visualization), exploratory data analysis and inferential statistics, bayesian statistics, supervised and unsupervised machine learning, SQL, Hadoop, HDFS, MapReduce, Spark (see GitHub Profile below). GitHub stats for 2018/09/18 - 2018/11/09 (tag: v3. And let's face it, it's just plain ugly. This works by adding an HTML formatter for Figure objects; the existing SVG/PNG formatters will remain enabled. fig is a matplotlib. Palettes taken from the new perceptual colormaps added to Matplotlib in version 1. 0) These lists are automatically generated, and may be incomplete or contain duplicates. My OS is raspbian. prettyplotlib. First, here's a simple function that creates a grid of points, X and Y, and plots streamlines using matplotlib's brand-spanking-new streamplot function (as of this writing, you'll need a recent github version of matplotlib):. Inspired by Edward Tufte's work on information design and Cynthia Brewer's work on color perception. Dynamic plotting for matplotlib. Even with wrappers like these, it is still often useful to dive into Matplotlib's syntax to adjust the final plot output. It relies on some backend to actually render the plots. This tutorial was contributed by Justin Johnson. As of matplotlib version 1. Matplotlib Palettes. : matplotlib/jupyter-matplotlib#117) and it isn't really being actively maintained. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license. As for a refresher here is a Matplotlib Cheat sheet from Datacamp which you can go through to brush up your basics. Plotting Decision Regions. Watch it together with the written tutorial to deepen your understanding: Python Plotting With Matplotlib A picture is worth a thousand words, and with Python's matplotlib library, it fortunately takes far less. Highlights of this release include: - GUI backend is selected at run-time based on what toolkits are installed. First, create a script that will map the range (0,1) to values in the RGB spectrum. Issues and Pull requests are tracked at Github too. Matplotlib realtime audio FFT. Wyświetl profil użytkownika Michal Kosinski na LinkedIn, największej sieci zawodowej na świecie. (Tools/Stack : Jupyter, matplotlib, python, seaborn, conda, xlrd, Waffle Chart, PyWaffle, Regression Plot) Explore waffle charts which are created to display progress towards goals (build one from scratch OR try using PyWaffle). There is an active developer community and a long list of people who have made significant contributions. mpl colormaps. 如果你对坐标显示还有特殊要求,他都能满足你的要求. Everything on this site is available on GitHub. import matplotlib import numpy as np import matplotlib. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK+. matplotlib can be used in Python scripts, the Python and IPython shell (ala MATLAB or Mathematica), web application servers, and six graphical user interface toolkits. This widget is capable of displaying different types of plots, which are implemented separately. Matplotlib 是我们的数据可视化好帮手, 他能呈现出2D, 3D 的数据形式,而且还能做动画. While much is slated to change in the 2. Visit the installation page to see how you can download the package. There is the "jupyter-matplotlib" package that embeds matplotlib in a widget, but I have been experiencing many issues with it recently (e. Hover over the points to see the point labels. 5, and "option D" (now called "viridis") will be the new default colormap in matplotlib 2. Matplotlib supports python 3. 06871 in which she studies the concentration of galaxy clusters using weak lensing. wxmplot provides wxPython widgets and python functions for displaying numerical data. I hope there is a simple way to install python3-matplotlib package on my RasPi. Create a custom colormap by dragging points on the RGB intensity curves. Cookbook/Matplotlib/PySide - Demonstrates how to display a matplotlib plot embedded in a PySide (Qt) application. The Plugin is defined within mpld3, and the user-provided CSS controls the format of the information shown on hover. Using a matplotlib scatter plot it can take ~20 lines of code to create a scatter plot along with the regression fit. I decided t. There is the "jupyter-matplotlib" package that embeds matplotlib in a widget, but I have been experiencing many issues with it recently (e. Watch it together with the written tutorial to deepen your understanding: Python Plotting With Matplotlib A picture is worth a thousand words, and with Python's matplotlib library, it fortunately takes far less. As of matplotlib version 1. GitHub Gist: instantly share code, notes, and snippets. If you'd like to see the kinds of visualizations you can make with matplotlib, see the official matplotlib sample gallery. Launching GitHub Desktop If nothing happens, download GitHub Desktop and try again. The primary class is the ScalarMappable. Draggable Points Example¶. sklearn-theano. Be notified of new releases. A scatter-plot with tooltip labels on hover. 0) These lists are automatically generated, and may be incomplete or contain duplicates. Palettes taken from the new perceptual colormaps added to Matplotlib in version 1. Wyświetl profil użytkownika Michal Kosinski na LinkedIn, największej sieci zawodowej na świecie. You can peruse the matplotlib xkcd gallery here for inspiration, or read on where I'll show off some of my favorite of the possibilities. We understand the data even better by looking it through plots and figures and analyze it more effectively. In this series, we're going to be covering most aspects to the Matplotlib data visualization module. There are two main components for the widget. Müller ??? Hi everybody. Participants will have lifetime access to all the code and resources needed for this "Data visualization using Matplotlib and Bokeh". This matplotlib tutorial covers how to plot bar chart, set xticks, plot multiple variables in bar chart, barh to plot horizontal bar charts. matplotlib provides a number of colormaps, a complete list of which can be found in cm. Fornisce API orientate agli oggetti che permettono di inserire grafici all'interno di applicativi usando toolkit GUI generici, come WxPython , Qt o GTK. Today, we'll be giving you insights of one such Data Visualization Library in Python, that is Matplotlib!. The latex integration is a clear advantage over excel. 2/matplotlib-1. Even with wrappers like these, it is still often useful to dive into Matplotlib's syntax to adjust the final plot output. Wyświetl profil użytkownika Michal Kosinski na LinkedIn, największej sieci zawodowej na świecie. Matplotlib has an imperative API which is often overly verbose. You can set the colormap for an image, pcolor, scatter, etc, using a keyword argument: Additionally, for the "base" colormaps below, you can set the colormap post-hoc using the corresponding pylab interface function:. Highlights of this release include: - GUI backend is selected at run-time based on what toolkits are installed. 如果你对坐标显示还有特殊要求,他都能满足你的要求. 2 and IPython 1. This is a short matplotlib tutorial, centered on the IPython notebook, created by Jake Vanderplas for PyData NYC in October 2012. Matplotlib is hosted on Github. finance module along with a few examples of usage. Matplotlib Palettes. Matplotlib uses numpy for numerics. Poor support for web and interactive graphs. It performs "natural neighbor interpolation" of irregularly spaced data a regular grid, which you can then plot with contour, imshow or pcolor. Participants will be provided "Data visualization using Matplotlib and Bokeh"-specific study material. % matplotlib inline. There is an active developer community and a long list of people who have made significant contributions. All gists Back to GitHub. I decided t. Matplotlib allows the aspect ratio, DPI and figure size to be specified when the Figure object is created, using the figsize and dpi keyword arguments. Load and display an image - shows a simple way to import a PNG image to a numpy array. These questions are not meant as a criticism. matplotlib: plotting with Python. When you add new fonts to your system, you need to delete your fontList. This post was written as a reply to a question asked in the Data Mining course. Update and Validate the Docs¶. Palettes taken from the new perceptual colormaps added to Matplotlib in version 1. I've tried already: sudo pip3 install matplotlib (command gcc failed with exit status 1) also:. The easiest way to run Python, Spyder with SciPy and friends out of the box on any Windows PC, without installing anything! Project Home is on Github , downloads pages are on Sourceforge and Github , md5-sha , Discussion Group. As of version 0. Linked Brushing Example. This function should be used with the inline Matplotlib backend that ships with IPython that can be enabled with %pylab inline or %matplotlib inline. Bringing Matplotlib to the Browser mpld3_demo « sliderPlugin :: Contents :: interactive_legend » sliderPlugin. Hover over the points to see the point labels. GitHub stats for 2019/05/18 - 2019/06/30 (tag: v3. PyPlot uses the Julia PyCall package to call Matplotlib directly from Julia with little or no overhead (arrays are passed without making a copy). This example shows how a D3 plugin can be created to make plot elements draggable. I enjoy using matplotlib and I am very grateful this amazing tool has been developed. Update: After posting an issue to the matplotlib project at Github, I was able to track down the source of my problem: I had changed the figure. This works by adding an HTML formatter for Figure objects; the existing SVG/PNG formatters will remain enabled. An important question when considering whether to use matplotlib for animation is what kind of speed you need. The code is provided as is and is basically un-maintained. gz; 2 years ago matplotlib released /matplotlib/matplotlib-1. In general, call pip install matplotlib or use your preferred mechanism (conda, homebrew, windows installer, system package manager, etc). This post covers the scientific libraries Mayavi, Vispy, Matplotlib, Numpy, and Scikit-image. 可以说是高度自主化的一个 python 可视化模块包. All gists Back to GitHub. 3, matplotlib provides a griddata function that behaves similarly to the matlab version. 1 added some tools for creating animations which are really slick. A tutorial on better scientific graphics with Matplotlib. GitHub Stats for Matplotlib 3. Using a matplotlib scatter plot it can take ~20 lines of code to create a scatter plot along with the regression fit. Download Python-xy Python(x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization based on Python programming language, Qt graphical user interfaces and Spyder interactive scientific development environment. Matplotlib version 1. Using matplotlib to plot over existing Figures Thu 26 January 2017 Shortly before Christmas a paper by Nathalia Cibirka and colleagues appeared as arXiv:1612. You can use Palettable to customize matplotlib plots or supply colors for a web application. Before tagging, update the "what's new" and "API changes" listings. dpi setting in the matplotlibrc file. GitHub stats for 2014/08/26 - 2016/09/08 (tag: v1. We will use the Python programming language for all assignments in this course. This module consists of code extracted from the deprecated matplotlib. The Plugin is defined within mpld3. numpy for the calculations, and griddata for attaching values to a fixed grid. The matplotlib_venn_wordcloud package combines Venn diagrams with word clouds for a pretty amazing (and amusing) result. This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter notebooks. Contents. On top is a QWidget which can be added to Qt applications. First import Matplotlib's plot interface (pylab works too) >>> import matplotlib. Python matplotlib-enhancer library which painlessly creates beautiful default matplotlib plots. A brief overview is: Create an account on GitHub if you do not already have one. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license. 2/matplotlib-1. Controlling an Embedded Plot with wx Scrollbars. matplotlib supports animated plots, and provides a number of demos. 2, released in January, 2013. 2 years ago matplotlib released /matplotlib/matplotlib-1. (Tools/Stack : Jupyter, matplotlib, python, seaborn, conda, xlrd, Waffle Chart, PyWaffle, Regression Plot) Explore waffle charts which are created to display progress towards goals (build one from scratch OR try using PyWaffle). The primary class is the ScalarMappable. Matplotlib Palettes. 3, matplotlib provides a griddata function that behaves similarly to the matlab version. SciPy (pronounced "Sigh Pie") is a Python-based ecosystem of open-source software for mathematics, science, and engineering. numpy for the calculations, and griddata for attaching values to a fixed grid. Around the time of the 1. A brief overview is: Create an account on GitHub if you do not already have one. The latex integration is a clear advantage over excel. matplotlib can be used in Python scripts, the Python and IPython shell (ala MATLAB or Mathematica), web application servers, and six graphical user interface toolkits. GitHub stats for 2019/05/18 - 2019/06/30 (tag: v3. 1 added some tools for creating animations which are really slick. Michal Kosinski ma 4 pozycje w swoim profilu. Today we'll be diving into visualization and. The matplotlib widget¶. wxmplot: plotting widgets using wxPython and matplotlib¶. The philosophy behind this vision is to consider Rails and Ruby; while Ruby was somewhat popular beforehand, it was Rails which propelled it to the forefront. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Google maps customized. plot directed graph (python matplotlib). Michal Kosinski ma 4 pozycje w swoim profilu. There is the "jupyter-matplotlib" package that embeds matplotlib in a widget, but I have been experiencing many issues with it recently (e. Python(x,y) - the scientific Python distribution. Plotting Decision Regions. You can set the colormap for an image, pcolor, scatter, etc, using a keyword argument: imshow(X, cmap=cm. Even with wrappers like these, it is still often useful to dive into Matplotlib's syntax to adjust the final plot output. The easiest way to run Python, Spyder with SciPy and friends out of the box on any Windows PC, without installing anything! Project Home is on Github , downloads pages are on Sourceforge and Github , md5-sha , Discussion Group. When plotting a very long sequence in a matplotlib canvas embedded in a wxPython application, it sometimes is useful to be able to display a portion of the sequence without resorting to a scrollable window so that both axes remain visible. It provides a high-level interface for drawing attractive and informative statistical graphics. I've tried already: sudo pip3 install matplotlib (command gcc failed with exit status 1) also:. Matplotlib è una libreria per la creazione di grafici per il linguaggio di programmazione Python e la libreria matematica NumPy. The matplotlib-subsets package visualizes a hierarchy of sets as a tree of rectangles. I hope there is a simple way to install python3-matplotlib package on my RasPi. If you are interested in maintaining the code please get in touch via [email protected] The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert. Update and Validate the Docs¶. Today we'll be diving into visualization and. Google maps customized. Package overview; 10 Minutes to pandas; Essential Basic Functionality; Intro to Data Structures. The best practices for using GitHub to make PRs to Matplotlib are documented in the Development workflow section. On Jupyter notebooks the matplotlib backends are special as they are rendered to the browser. Treemaps with python and matplotlib. Skip to content. GitHub stats for 2018/09/18 - 2018/11/09 (tag: v3. Enter Matplotlib, a beautiful (though complex) plotting tool written in Python. GitHub Gist: instantly share code, notes, and snippets. Gael Varoquax's scientific GUI tutorial - Includes an instructive example of embedding matplotlib in a Traits GUI. Python is a great general-purpose programming language on its own, but with the help of a few popular libraries (numpy, scipy, matplotlib) it becomes a powerful environment for scientific computing. First, create a script that will map the range (0,1) to values in the RGB spectrum. 0) These lists are automatically generated, and may be incomplete or contain duplicates. IPython has a built-in mode to work cleanly with matplotlib figures. Code link: https. plotting import plot_decision_regions. And let's face it, it's just plain ugly. Update and Validate the Docs¶. GitHub stats for 2018/09/18 - 2018/11/09 (tag: v3. Contribute to chriswickham100/matplotlib development by creating an account on GitHub. In this dictionary, you will have a series of tuples for each color 'red', 'green', and 'blue'. 0) These lists are automatically generated, and may be incomplete or contain duplicates. The Plugin is defined within mpld3. Around the time of the 1. Matplotlib allows the aspect ratio, DPI and figure size to be specified when the Figure object is created, using the figsize and dpi keyword arguments. There are a few ways to invoke it: On startup, you can add a command line argument: ipython [notebook] --pylab or: ipython notebook --pylab inline The first can be used with the notebook or with the normal IPython interpreter. matplotlib: plotting with Python. A brief overview is: Create an account on GitHub if you do not already have one. x as of version 1. In the future, graph visualization functionality may be removed from NetworkX or only available as an add-on package. jl development by creating an account on GitHub. % in matlab import matplotlib as mpl # in python cm = mpl. If not, the best way to test your install is by running a script, rather than working interactively from a python shell or an integrated development environment such as IDLE which add additional complexities. Skip to content. GitHub Gist: instantly share code, notes, and snippets. Matplotlib realtime audio FFT. The primary class is the ScalarMappable. Load and display an image - shows a simple way to import a PNG image to a numpy array. 1 added some tools for creating animations which are really slick. I thought I'd share here some of the things I've learned when playing around with these tools. This is a pretty common pattern when using seaborn: use a seaborn plotting method (or grid) to get a good start, and then adjust with matplotlib as needed. The first thing to try is a clean install and see if that helps. Matplotlib uses numpy for numerics. A book about scientific and technical computing using Python. Matplotlib can be used in Python scripts, the Python and IPython shell (à la MATLAB or Mathematica), web application servers, and various graphical user interface toolkits. This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter notebooks. Both will produce the same output plot as shown below, A side note. GitHub stats for 2018/09/18 - 2018/11/09 (tag: v3. There is an active developer community and a long list of people who have made significant contributions. At the moment, the current combination of Python, NumPy, SciPy, Matplotlib, and IPython provide a compelling environment for numerical analysis and computation. As of matplotlib version 1. Using a matplotlib scatter plot it can take ~20 lines of code to create a scatter plot along with the regression fit. これは IPython のマジックコマンドというもので、Python のコードではありません。 GitHubでログイン. Treemaps with python and matplotlib. No description, website, or topics provided. There are many ways to get Matplotlib, head over to Matplotlib. The Matplotlib license is based on the Python Software Foundation (PSF) license. ListedColormap(C/255. The philosophy behind this vision is to consider Rails and Ruby; while Ruby was somewhat popular beforehand, it was Rails which propelled it to the forefront. Update: These colormaps have been merged into the development version of Matplotlib, all of them will be included in matplotlib 1. All are sequential. three-dimensional plots are enabled by importing the mplot3d toolkit. First import Matplotlib’s plot interface (pylab works too) >>> import matplotlib. Around the time of the 1. Named colors in matplotlib. Zobacz pełny profil użytkownika Michal Kosinski i odkryj jego(jej) kontakty oraz pozycje w podobnych firmach. Update and Validate the Docs¶. Dynamic plotting for matplotlib. We closed 30 issues and merged 120 pull requests. You can peruse the matplotlib xkcd gallery here for inspiration, or read on where I'll show off some of my favorite of the possibilities. There are a few ways to invoke it: On startup, you can add a command line argument: ipython [notebook] --pylab or: ipython notebook --pylab inline The first can be used with the notebook or with the normal IPython interpreter. A tutorial on better scientific graphics with Matplotlib.